# Weights & Biases Reviews **Vendor:** Weights & Biases **Category:** [MLOps Platforms](https://www.g2.com/categories/mlops-platforms) **Average Rating:** 4.7/5.0 **Total Reviews:** 44 ## About Weights & Biases Weights & Biases is the AI developer platform to build AI applications and models with confidence. ML engineers and AI developers use W&B Weave and W&B Models to coordinate all LLMops and MLops processes, including evaluating, debugging, training, fine-tuning, and deploying. W&B Weave helps developers evaluate, monitor and iterate on their AI applications to continuously improve quality, latency, cost, and safety. W&B Models boosts experiment speed and team collaboration among ML teams, helping them bring models to production faster while ensuring performance, data reliability, and security. W&B also serves as the system of record for all ML and AI activities. ## Weights & Biases Pros & Cons **What users like:** - Users appreciate the **ease of use** of Weights & Biases, allowing effortless tracking and sharing of experiments. (3 reviews) - Users value the **seamless integration** with libraries and the effortless management of experiments across various machines. (2 reviews) - Users appreciate the **setup ease** of Weights & Biases, finding it quick to implement and efficient for their workflows. (2 reviews) - Users praise the **fast and experienced customer support** of Weights & Biases, enhancing their overall experience. (1 reviews) - Users appreciate the **customization flexibility** of Weights & Biases, enhancing model comparisons with colorful visualizations. (1 reviews) - Users love the **simplicity and efficiency of data visualization** in Weights & Biases, streamlining their analytical processes. (1 reviews) - Users appreciate the **easy integrations** with libraries like PyTorch Lightning, enhancing workflow and productivity. (1 reviews) - Implementation Ease (1 reviews) - Integrations (1 reviews) - Users love the **seamless integration** of Weights & Biases with popular ML libraries, enhancing workflow and productivity. (1 reviews) **What users dislike:** - Users find the **documentation lacking** , making it challenging to access basic functionalities of Weights & Biases. (1 reviews) - Users find the **lack of guidance** in W&B's documentation frustrating when seeking basic functionality. (1 reviews) - Users face a **lack of tools** to efficiently discard non-useful runs in Weights & Biases. (1 reviews) - Users express a desire for **missing features** like global normalization and window control settings in Weights & Biases. (1 reviews) - Users find the **poor documentation** of Weights & Biases frustrating when searching for basic functionality. (1 reviews) - Users experience **slow performance** due to laggy servers and finicky UI elements, impacting their overall experience. (1 reviews) - User Accessibility (1 reviews) ## Weights & Biases Reviews ### 1. Effortless Training Run Tracking Made Simple **Rating:** 4.5/5.0 stars **Reviewed by:** Mamoon K. | Machine Learning Research Intern, Small-Business (50 or fewer emp.) **Reviewed Date:** December 03, 2025 **What do you like best about Weights & Biases?** It helps track training runs easily. I can see all the logged runs in one place without manually checking **What do you dislike about Weights & Biases?** There should be an easy way to discard non useful runs. **What problems is Weights & Biases solving and how is that benefiting you?** The problem of manually checking training runs again and again in the code makes it tedious. For people learning code like me Weights and Biases presents a unique alternative ### 2. Seamless Integration and Reliable Support: A Daily Essential for Machine Learning **Rating:** 5.0/5.0 stars **Reviewed by:** Amir Masoud N. | Graduate Demonstrator, Small-Business (50 or fewer emp.) **Reviewed Date:** March 08, 2025 **What do you like best about Weights & Biases?** It is highly and well integrated with libraries I am using like PyTorch Lightning. Many times I have set that up because it was very easy, and after a while, it has happened that I lost part of my results, and W&B helped me to easily recover them through the logs, which without it, I probably wouldn't have. The next and very important feature to me is that I can use many different machines and servers at the same time and without being worried about gathering all results together, then using tools like TensorBoard, having them online without any effort(most of the time saves me when I am using supercomputers). It is part of my daily tools, and when I am teaching students machine learning, in very early sessions after teaching them visualization, I will have them use W&B to repeat whatever they have learned so far. I have never had any problem with W&B, but I have heard from one of my friends, whom I recommended he use W&B, that customer support is very fast and experienced. **What do you dislike about Weights & Biases?** Sometimes it is bothering me when I am looking for very basic functionality of W&B and it doesn't provided good documentation for that. **What problems is Weights & Biases solving and how is that benefiting you?** Monitoring training models is an integral part of my research ad W&B made it easy for me. ### 3. Very useful quite powerful tool **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Research | Small-Business (50 or fewer emp.) **Reviewed Date:** March 24, 2025 **What do you like best about Weights & Biases?** Easy of use, ease of implementation, the possibility to gather all my results, ease of sharing results with teammates, It can compare a lot of data interactively which in other cases could be hard to implement **What do you dislike about Weights & Biases?** It is online approach which is both strong and weak side, sometimes servers are bit laggy. **What problems is Weights & Biases solving and how is that benefiting you?** It makes easy for me to store and analyze experiments results, which in case of using own implementation approach using matplotlib for example would require quite a lot of work. ### 4. Review for wandb **Rating:** 4.5/5.0 stars **Reviewed by:** Simon S. | AI Solutions Architect, Small-Business (50 or fewer emp.) **Reviewed Date:** January 28, 2025 **What do you like best about Weights & Biases?** I like the flexibility to log custom parameters, and the colorful comparisons between models in for instance confusion matrices. **What do you dislike about Weights & Biases?** There are a couple of features I would have liked, such as the ability to set a global normalization flag, or controlling which windows stay on screen on reload, maybe these features exist, in that case I just haven't been able to find them **What problems is Weights & Biases solving and how is that benefiting you?** We build image classification software, and for that it is very useful to track model performance ### 5. WandB - the best online tool for experiment logging so far **Rating:** 4.5/5.0 stars **Reviewed by:** Ivan G. | Scientific Researcher, Small-Business (50 or fewer emp.) **Reviewed Date:** December 03, 2024 **What do you like best about Weights & Biases?** We are a small team of 15 researchers. After the years of usage tensorboard, we decided to try online tools. We tried a few of them and find out that WandB suits us best. We really like easy of use, the fact that experiments are easily sharable, and hyperparameter sweep option. Also the option to tag all your experiments and subsequent filtration of them is also great. **What do you dislike about Weights & Biases?** WandB provides an option to create a report from your experiments. It would be nice to use these reports in our papers, however, during the review period, papers should be anonymized but there is no option to anonymize the reports. **What problems is Weights & Biases solving and how is that benefiting you?** Experiments sharing and logging ### 6. The fastest way to log your training runs **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Research | Enterprise (> 1000 emp.) **Reviewed Date:** January 07, 2025 **What do you like best about Weights & Biases?** Everything works almost out of the box and it has a "nice look" once logged in **What do you dislike about Weights & Biases?** I really can't resize images and masked images the way I want inside the GUI and looking at images on mobile is quite a nightmare **What problems is Weights & Biases solving and how is that benefiting you?** Logging my training runs. I could achieve the same result with tensorboard (and alike) + saving images and masks and periodically generating a webpage that shows them, but W&B already offers that and much more ### 7. Top-tier service for bargain bin prices **Rating:** 4.0/5.0 stars **Reviewed by:** Justin D. | Developer, Small-Business (50 or fewer emp.) **Reviewed Date:** July 26, 2024 **What do you like best about Weights & Biases?** The hosted aspect is great and if you avoid storing large artifacts, too many histograms, or too many images, it's very cheap or free even for heavy usage. I often run training on remote systems and checking the eval outputs remotely can be a pain with other software like TensorFlow. You need to be sure to run the server on your instance to view the dashboard. With W&B you get comparably powerful features, and you don't need to do anything but run your train script. In addition to hosting, the Sweeps functionality is excellent for hyper-parameter sweeping and pre-determined groups of runs in multi-task settings. **What do you dislike about Weights & Biases?** Some UI elements, like the Runs data table, can be laggy, and sometimes the auto-refresh seems finicky. **What problems is Weights & Biases solving and how is that benefiting you?** W&B helps track and debug my experiments. I use it for developing new models, observing loss scales and adjusting them so they're in compatible ranges, detecting and addressing gradient instabilities such as vanishing or exploding. I also use it for hyper-parameter searching to find the best values for my training runs. Additionally, I use the Sweeps functionality for coordinating runs that involve many related models that are deployed together. ### 8. wandb works great and is very easy to setup and use supporting wide variety of media types **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Biotechnology | Small-Business (50 or fewer emp.) **Reviewed Date:** July 09, 2024 **What do you like best about Weights & Biases?** Ease of setting it up, the dashboard is pretty much each to use and allows to visualize a wide range of features at once. The integration is pretty much solid and works out of box for any script that I worked on **What do you dislike about Weights & Biases?** I used to pre train certain checkpoints in a sequential manner or sometimes my runs used to break in between due to memory/connection issues from there on it was quite difficult to visualize all the previous run in a single curve using the dashboard, setting the x axis as wall time helped but the curve was still not a single continuous graph **What problems is Weights & Biases solving and how is that benefiting you?** In some of my experiments I wanted to visualize how the grad norm varies with train iter or how does the learning rate scheduler affect the perplexity of the model that I am working on, wandb makes doing these experiments much easier ### 9. Weights and biases changed the way I interact with my models. **Rating:** 5.0/5.0 stars **Reviewed by:** Giannis Z. | PhD Candidate, Small-Business (50 or fewer emp.) **Reviewed Date:** September 10, 2024 **What do you like best about Weights & Biases?** The best thing about W&B is that you don't need to think about performance visualization anymore. W&B handles that for you, no matter how many metrics you have or how complex they are. It's also very simple to use! **What do you dislike about Weights & Biases?** Can't think of anything that I dislike, my experience has been very positive until now. **What problems is Weights & Biases solving and how is that benefiting you?** Helps a lot with visualization and performance tracking. ### 10. WandMe **Rating:** 4.5/5.0 stars **Reviewed by:** Datta N. | Machine Learning Engineer 3, Small-Business (50 or fewer emp.) **Reviewed Date:** August 30, 2024 **What do you like best about Weights & Biases?** The ability to track everything including gradients is a wonderful aspect. **What do you dislike about Weights & Biases?** One problem is if there's a zombie wandb process and I try to kill it, it makes other functioning trainig runs terminate. **What problems is Weights & Biases solving and how is that benefiting you?** To keep track of all the experiments and look at the comparisons anytime. Also share the plots and reports with the rest of the world. ### 11. W&B helped me increase my productivity **Rating:** 5.0/5.0 stars **Reviewed by:** Eshed R. | Senior Algorithm Architect, Enterprise (> 1000 emp.) **Reviewed Date:** February 22, 2024 **What do you like best about Weights & Biases?** I like the WEB UI, especially the manipulation of plots and reports as they simplify and visualize many metrics and parameters. I also like the artifactory and the model registry, they help manage the countless number of models created during an ML/DL project. Sweep management is also cool! We build an automation tool around it that simplifies ML sweeps and thus helps us get better results. Finally, I love the prompt and kind assistance we (Nvidia) get on the dedicated Slack channel. Really appreciated! **What do you dislike about Weights & Biases?** Not too much actually :) I guess sometimes the web UI is a bit slow. **What problems is Weights & Biases solving and how is that benefiting you?** It solves the management of many (many many) ML experiments; helps us improve our KPIs and track this improvement. This is benefiting us by saving a lot of time on taking dev decisions based on results (i.e., decide on some algo change, set of hyper parameters). ### 12. Smooth workflow for AI benchmarks **Rating:** 4.5/5.0 stars **Reviewed by:** Bastien V. | PHD Student, Enterprise (> 1000 emp.) **Reviewed Date:** July 23, 2024 **What do you like best about Weights & Biases?** The online API is really helpful to organize results and projects. **What do you dislike about Weights & Biases?** In the online website, the graphs showing evolution of a metric for example can't be dezoomed easily with the scroll wheel and we can't move in the graph after zooming. **What problems is Weights & Biases solving and how is that benefiting you?** It stores online my results and shows in live the logs. (without the need to run another command to visualize the results or refresh a page) ### 13. A no-brainer tool to assist in model training/evaluation/comparison **Rating:** 5.0/5.0 stars **Reviewed by:** Pe D. | Computer Vision Engineer, Small-Business (50 or fewer emp.) **Reviewed Date:** July 04, 2024 **What do you like best about Weights & Biases?** Its easy and seamless integration with PyTorch lightening and simple API usage. The model (artifact) and logs logging also help me trace back a model that was training months ago. **What do you dislike about Weights & Biases?** Nothing as of now. Would appreciate more dark modes and API control to give experiment names, rather than having my experiment named 'Tasty-Aadvark'. **What problems is Weights & Biases solving and how is that benefiting you?** Having all my training sessions accessble from single site, is the biggest benefit. Also, saving logs, training meta is quite helpful too. ### 14. Great platform for DNN training support **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Higher Education | Small-Business (50 or fewer emp.) **Reviewed Date:** December 09, 2024 **What do you like best about Weights & Biases?** Visualization of data from different perspective **What do you dislike about Weights & Biases?** Nothing really, maybe it can be good to customize the hardware monitoring interval **What problems is Weights & Biases solving and how is that benefiting you?** It helps me learn the progress of my machine learning training jobs ### 15. Best software for ML experiment tracking **Rating:** 5.0/5.0 stars **Reviewed by:** Liam C. | Research Assistant, Small-Business (50 or fewer emp.) **Reviewed Date:** August 16, 2024 **What do you like best about Weights & Biases?** - Ability to view in browser - Ability to share with collaborators - Ability to add figures to experiment reports **What do you dislike about Weights & Biases?** - Annoying bug with visualising segmentation labels - red speckles appear in the label masks which can make it hard to evaluate. **What problems is Weights & Biases solving and how is that benefiting you?** Tracking ML experiments and sharing with collaborators ### 16. I like the ease of setup, I know no viable alternative, I hate the slowness and numerous bugs **Rating:** 3.5/5.0 stars **Reviewed by:** Gaspard L. | Small-Business (50 or fewer emp.) **Reviewed Date:** April 09, 2024 **What do you like best about Weights & Biases?** It is easy, I can live preview the results, all the plots are done automatically and smartly. It is a great gain of time. **What do you dislike about Weights & Biases?** The user interface is slow but it is acceptable. Retrieving runs data from wandb using the wandb.Api() takes forever (e.g., 30h for around 30 000 runs of hyperparameter in several environments). I would like to be able to download all data from a set of runs selected from filters in a single api call. Since it represents less than 100 mb of data, it should be feasible in a few minutes maximum, right? The documentation is not great. **What problems is Weights & Biases solving and how is that benefiting you?** Logging and visualization during development (since I am using wandb in research, I still have to redownload all data using wanbd.Api() at the end, because the wandb plot are not professional enough (bitmap instead of vectors)). It is saving me a enormous amount of time. ### 17. Easy to use, but super helpful tool for logging machine learning experiments **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Manufacturing | Small-Business (50 or fewer emp.) **Reviewed Date:** June 13, 2024 **What do you like best about Weights & Biases?** That it is super easy to log all metrics, loss curves and all different kind of data and to get that data visualized in an interpretable manner. I really like how it is integrated into other frameworks like eg pytorch lightning. I use W&B almost daily, at least I haven't started a single training run without using W&B ever since I subscribed. **What do you dislike about Weights & Biases?** 1) I would like to customize the plots and visualizations of the metrics shown even more. That would be nice to be able to do by using a script or something that can be used across multiple projects --> eg I would like to determine (from my python script) the color of all lines in a plot, and I don't know how to do that. It would just be usefull for communication to team leaders, bosses etc., if they knew that eg. accuracy would also be plotted with a red, dotted line and that recall would always be a thick, blue line or something like that. 2) I have a hard time figuring out how to navigate all artifacts and how to use those. In eg the integration with ultralytics W&B will create an artifact for each epoch, which quickly fills up my storage. However, that is just a minor thing as I have just created a stand alone script to delete artifacts that aren't tagged with "best" etc. **What problems is Weights & Biases solving and how is that benefiting you?** Before using W&B I would either use TensorBoard (hard to set up and won't log the same amount of data) or rely on the automatic logging from AWS SageMaker (which is crap). Both these older methods took really long time to setup which delayed all projects - and then we are not even talking about how hard it is to manage and remember "these files are from this run, these other files are from that other run" as that what needed before. Hence using W&B increases the frequency of which I can test new ideas by saving me so many hours each time I start on something new. ### 18. Perfect for seemless experiment tracking **Rating:** 5.0/5.0 stars **Reviewed by:** Kilian F. | PhD student, Mid-Market (51-1000 emp.) **Reviewed Date:** July 25, 2024 **What do you like best about Weights & Biases?** I use it for every project, it became a key tool for me to keep an overview about experiments no matter if or when using LLMs **What do you dislike about Weights & Biases?** Working in teams is limited in the free version **What problems is Weights & Biases solving and how is that benefiting you?** Experiment tracking which helps to keep track of trials ### 19. Great platform for collaboration of experiments with intuitive coding steps **Rating:** 4.5/5.0 stars **Reviewed by:** Shimon S. | Research squad lead, data science, Mid-Market (51-1000 emp.) **Reviewed Date:** August 19, 2024 **What do you like best about Weights & Biases?** The API is self explanatory and the UI is smart **What do you dislike about Weights & Biases?** Caching management is not clear, dis not find a way to clean old logs **What problems is Weights & Biases solving and how is that benefiting you?** Sharing results, experiment tracking management ### 20. Weights & Biases **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Research | Small-Business (50 or fewer emp.) **Reviewed Date:** April 15, 2024 **What do you like best about Weights & Biases?** Much easier than tensorboard. Way easier to get started and then a lot more functionality once you're more experienced. Easy monitoring of gpu use. Very easy to compare runs. Easy to upload tables and images. Also easy to compare just the runs you want and to save working experiments in a nice format (reports) **What do you dislike about Weights & Biases?** The only downsides which I hope will be fixed at some point is you don't have an easy way of deleting just one run. Would be nice if you could restart a run from the step you left it at as well. But in the day to day use they're pretty minor and the positives outweigh the downsides. **What problems is Weights & Biases solving and how is that benefiting you?** I'm a researcher not a business so it's mainly helping me keep track of my research. ### 21. Very quick and easy to start online logging **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Research | Enterprise (> 1000 emp.) **Reviewed Date:** June 27, 2024 **What do you like best about Weights & Biases?** This tool is perfect for logging information from programs, especially during training. It allows you to see how your model is training from anywhere in the world. I like how you can just dump some raw data onto the platform, and then you can make your graphs and manipulate the data separately from your training loop. **What do you dislike about Weights & Biases?** Some features are missing but I am sure they would come if I did a feature request. **What problems is Weights & Biases solving and how is that benefiting you?** Logging data from machine learning training loops that may be running headless. ### 22. Wandb works well out of the box **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Research | Small-Business (50 or fewer emp.) **Reviewed Date:** July 10, 2024 **What do you like best about Weights & Biases?** Easy to plug in and use. Works well with PyTorch and lightning and easy to compare models when away from local network. **What do you dislike about Weights & Biases?** Can slow down training speed and there are some minor bugs sometimes when using on a less well supported device/framework. Mobile UI also slow. **What problems is Weights & Biases solving and how is that benefiting you?** Helping me compare models quickly on the go. A lot easier to use than other solutions and cloud syncing to share with others. ### 23. Great platform - saves me many hours of work for tasks that I've previously coded manually **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Biotechnology | Small-Business (50 or fewer emp.) **Reviewed Date:** April 15, 2024 **What do you like best about Weights & Biases?** Easy to use, already incorported into major libraries, but still powerful. **What do you dislike about Weights & Biases?** The only thing I wish was different is pricing per "tracked hour". For my workflow, this number seems very inflated - I have a few powerful GPUs, and run multiple experiments at a time on each one. This results in "tracked hours" of many multiples of realtime, for each GPU, which doesn't seem right. This is OK for me now as an academic, on the personal plan with unlimited tracked hours, but discourages me from using this for commercial projects in the future, where cost would quickly become prohibitive. **What problems is Weights & Biases solving and how is that benefiting you?** Experiment tracking is hard, important, and wandb makes it almost trivial. ### 24. have recommended to others before, would again **Rating:** 5.0/5.0 stars **Reviewed by:** jimmy s. | undergrad researcher, Small-Business (50 or fewer emp.) **Reviewed Date:** July 09, 2024 **What do you like best about Weights & Biases?** I first learned about w&b 5 years ago in high school, and used it for a few projects. I now use it every day and have convinced several colleagues in and out of the lab to use w&b. **What do you dislike about Weights & Biases?** i wish there was a way to locally/offline view the graphs, or at least be able to view graphs with latency. **What problems is Weights & Biases solving and how is that benefiting you?** easy system agnostic logging, and composting across runs ### 25. LLM training tracking **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Mechanical or Industrial Engineering | Mid-Market (51-1000 emp.) **Reviewed Date:** July 17, 2024 **What do you like best about Weights & Biases?** I like how it seemlessly integrates into the workflow and reports all relevant information. **What do you dislike about Weights & Biases?** I did not like how it remains logged in even without the login command, and how it starts a different log for the same 'run name'. **What problems is Weights & Biases solving and how is that benefiting you?** Monitoring my multiple training logs, keeps all the plots in one place for easy access. ### 26. Easy-to-setup model logging product **Rating:** 3.5/5.0 stars **Reviewed by:** Verified User in Research | Enterprise (> 1000 emp.) **Reviewed Date:** April 09, 2024 **What do you like best about Weights & Biases?** It is very quick to get started with logging models and performance to wandb, implementation and integration are readily intuitive and straightforward. There are some useful available features such as model sweeping and other filtering/grouping mechanisms with runs logged in a given project. Whenever I need to keep track of ML model performance, I use wandb. **What do you dislike about Weights & Biases?** The number of concurrent runs is somehow too limited if one launches jobs to a cluster. It is most of the time hard to find the relevant information you are seeking for in the documentation, hence help comes from issues dealt online by users on different platforms (github, stackoverflow, etc.) **What problems is Weights & Biases solving and how is that benefiting you?** - Logging performance of machine learning models - Helping the optimization of model hyperparameters It represents a large gain of time compared to manual logging and optimization. ### 27. Best existing machine learning experiment tracker, including a great hyperparameter tuning **Rating:** 5.0/5.0 stars **Reviewed by:** Manuel M. | Small-Business (50 or fewer emp.) **Reviewed Date:** February 21, 2024 **What do you like best about Weights & Biases?** Extremely easy to use (both in browser or via API) + sweep launcher that allows to distributes experiments for different machines **What do you dislike about Weights & Biases?** There's no easy pipeline for cross-validation, unless you play a bit around... In any case, it does never get as smooth as the other default functionalities It is designed for the setting where you have fixed train, val, test sets **What problems is Weights & Biases solving and how is that benefiting you?** - Experiment tracker - Hyperparameter tuning (Sweep) Wandb makes integration of both aspects above quite easy in machine learning experiments ### 28. Pretty good and unique solution **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Research | Enterprise (> 1000 emp.) **Reviewed Date:** July 25, 2024 **What do you like best about Weights & Biases?** Managing runs that are lauched across different machines **What do you dislike about Weights & Biases?** All new accounts have to be a team not personal **What problems is Weights & Biases solving and how is that benefiting you?** Keep tracking of hyperparameter searches and evaluation metrics across different runs ### 29. Great product -- too expensive **Rating:** 4.5/5.0 stars **Reviewed by:** Tony T. | Small-Business (50 or fewer emp.) **Reviewed Date:** February 21, 2024 **What do you like best about Weights & Biases?** graphs, experiment logs, easy to share within team **What do you dislike about Weights & Biases?** too expensive. latency sometimes sucks too. **What problems is Weights & Biases solving and how is that benefiting you?** experiment tracking ### 30. great tool for tracking experiments **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Consumer Electronics | Mid-Market (51-1000 emp.) **Reviewed Date:** February 28, 2024 **What do you like best about Weights & Biases?** i use it as my single point of knowledge for all my experiments results, including model weights, configs, false analysis etc **What do you dislike about Weights & Biases?** many specific use cases, which are not that specific imo, i had to implement myself, **What problems is Weights & Biases solving and how is that benefiting you?** easy experiment tracking ### 31. A Must Have Tool if You are a Serious ML Practitioner **Rating:** 4.5/5.0 stars **Reviewed by:** Reza S. | Data Scientist, Mid-Market (51-1000 emp.) **Reviewed Date:** August 26, 2022 **What do you like best about Weights & Biases?** W&B is so user-friendly and useful for any ML practitioner but if you are a serious one, you need to get your hands on this tool. Not only you can monitor the performance of your different architecture changes and hyper-parameters, but you can also debug some of the problems with your training. For example, one time I was pulling my hair understanding why my training is so slow, and just by looking at the system dashboard, I realized that CUDA had failed for some reason and I was training on CPU. The system dashboard is also so helpful to find the right batch size to make use of the last MBs of your VRAM, if you know what I mean ;) . All the different plotting options and model/hyper-parameter comparison capabilities, give you a lot of freedom and power to efficiently train machine learning models. I also appreciate the fact the product is constantly evolving and adapting in flow with the scene of AI. Their blog posts are also a treasure trove of ML knowledge which shows some top-notch serious ML people are working on the product. All in all, go try it, it is fun and useful! **What do you dislike about Weights & Biases?** The UI has a very small delay in updating the progress of your training which you might find annoying if you are an impatient person. Also, I would have loved it if they could add other features like the estimated time to finish the training or even show the time scales of the training steps on the plots (maybe there is a way to activate it but did not find) **What problems is Weights & Biases solving and how is that benefiting you?** It takes away the need to write custom tools for monitoring your ML training and gives you the tools and capabilities to make your life a lot easier when you are a serious ML practitioner. ### 32. Best for data science and NLP tasks **Rating:** 4.5/5.0 stars **Reviewed by:** Muhammad A. | Senior Software Developer, Mid-Market (51-1000 emp.) **Reviewed Date:** November 01, 2022 **What do you like best about Weights & Biases?** Used Weight & Biases for Natural language processing task where i have to train pre-trained models like Bert and RoBerta for classification models. By using Weight & Biases i don't have to manage the weights, loss and accuracy charts. All i have to login and initilize. You can login with your github account. **What do you dislike about Weights & Biases?** Honestly nothing, only i think confusion part by viewing different analytics charts get valuable information. Default names mention are also little bit long and confusing. **What problems is Weights & Biases solving and how is that benefiting you?** I makes life easier because you don't have to manage weights for model training and all data automatically saved in directory, which can be accessed any time you want by simply login to platform. And its free. ### 33. Weights and Biases Review Sky Voice Team **Rating:** 4.5/5.0 stars **Reviewed by:** George R. | Associate Software Developer, Enterprise (> 1000 emp.) **Reviewed Date:** August 30, 2022 **What do you like best about Weights & Biases?** Very clean and easy to understand UI. Easy integration with Tensorflow, it's nice to see metrics per epoch **What do you dislike about Weights & Biases?** Would be nice if there was model deployment functionality. Also, it would be nice to have a service user option or a team API key. Since our runs are triggered using AWS Sagemaker pipelines, we have had to hardcode one of our team member's user API keys which isn't the nicest solution since he isn't always the person triggering the run yet it's still linked to him. **What problems is Weights & Biases solving and how is that benefiting you?** We use Weights and Biases to track runs of our model training pipeline. It benefits us by being able to analyse and compare our runs, sorting runs into groups is very useful for experimenting with different model architectures and datasets. ### 34. The most impactful ML product in the last 5 years **Rating:** 5.0/5.0 stars **Reviewed by:** Ian T. | Founder/CEO, Small-Business (50 or fewer emp.) **Reviewed Date:** September 01, 2022 **What do you like best about Weights & Biases?** This is the rare product that both engineers and researchers love, and it has been transformative for our team's ability to work on large, complex problems together. In particular, the Reports feature has become our main medium for collaboration, almost more essential than Github. It makes it easy to keep a shared ground truth for baselines while enabling everyone to fork their own versions. You can pull in as much or as little of the other team members’ work to your own current workspace and Reports – the filtering by tag, time, etc. makes this easy. We primarily use tags to make runs available with a quick semantic hook. The ability to create custom visualizations (via Vega) and filter across many runs during sweeps has been very useful. We’ve made everything from embedding projections (tsne/umap) to sweep overviews here, and then been able to share them for everyone to use. **What do you dislike about Weights & Biases?** I was pretty skeptical initially that it would help to have more collaborative visualization tools beyond Tensorboard, etc – and I was completely wrong! I wish I’d realized this sooner, wandb seems to know the current flaws in our workflow better than we do :) **What problems is Weights & Biases solving and how is that benefiting you?** Wandb has been key for us to find regressions or mistakes that might have taken months to uncover without it (or never found them at all!). Many of the biggest advances in generative modeling that we've seen in the last 5 years (language models, text-to-image) were made by teams using wandb, and I wouldn't be surprised if the field was nearly a year behind its current frontier if wandb didn't exist. Especially for generative modeling, visualization and tracking is so essential that it saves you time you didn't realize you were wasting (both in experimental mistakes and collaboration/communication cost). None of the other tools we've tried (Tensorboard and similar) or experiment tracking systems we've built internally have been nearly as good as wandb for this. Also, logging/experiment tracking/visualization is surprisingly difficult to get right as you scale in team and model complexity, so the fact that wandb is very simple to integrate into any codebase makes one almost forget how much it is handling. ### 35. Great product for managing ML **Rating:** 5.0/5.0 stars **Reviewed by:** John L. | Staff Engineer, Enterprise (> 1000 emp.) **Reviewed Date:** June 03, 2022 **What do you like best about Weights & Biases?** I like that W&B provides an on-premise solution (in our cloud environment) that allows us to manage our data completely internally. Their python library is easy to use and can integrate quickly with our existing workflows for ML research. Specifically, we're able to automatically collect relevant ML data and display appropriate visualizations to help us find the best models. More generally, W&B lets us better keep track of our models and test various experiments easily. They have a great reporting feature as well, where we can easily create and share reports relating to our ML experiments. The visualizations also flexible, and we can basically create whatever visuals we want (although with some effort) I also like that they keep adding more features to help us accelerate and manage all of our ML operations easily. To my knowledge, we haven't made use of all of these features yet (at least Artifacts and Tables), but they will definitely help us with our workflows as we grow and mature our teams. **What do you dislike about Weights & Biases?** Since we're running on-premise in our cloud, it takes a little effort to maintain the product in our environment. **What problems is Weights & Biases solving and how is that benefiting you?** Solves where to track machine learning experiments, by providing a single environment for research results to be collected and displayed. This helps our researchers be more productive at doing ML research and finding the best models for our problems. ### 36. Essential tool for ML engineering teams **Rating:** 5.0/5.0 stars **Reviewed by:** chris p. | Director, Computer Vision and Machine Learning, Mid-Market (51-1000 emp.) **Reviewed Date:** June 02, 2022 **What do you like best about Weights & Biases?** Wandb allows my team to collaborate and share information. As soon as we became users of the tool I noticed that we would spend time analyzing the training loss graphs for model runs, and asking each other for help. These runs used to be squirrelled away on people's desktop machines, and were nearly impossible to reconstruct old runs. Now we can look at older runs very easily and our team can collaborate on experiment results. The support from the wandb team has been amazing too. **What do you dislike about Weights & Biases?** nothing really missing in my opinion. I would like to be able to administer my account a little easier, like seeing how many seats I have left and which users are dormant would allow me to manage my license pool more effectively. **Recommendations to others considering Weights & Biases:** I highly recommend it. **What problems is Weights & Biases solving and how is that benefiting you?** It gets our engineers collaborating more and speeds up the team, Training these models can be very tricky and have more people analyzing the results from a run really helps us to save time and accelerates our development. Also tracking historical runs is very handy too. ### 37. Excellent set of tools for many ML Ops tasks. **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Computer Hardware | Mid-Market (51-1000 emp.) **Reviewed Date:** August 19, 2022 **What do you like best about Weights & Biases?** The quality of the features on wandb is always very high. We use metrics, artifact management, and hyperparameter sweep extensively and find that wanbd fits seamlessly with our training. **What do you dislike about Weights & Biases?** wandb is developing their feature set but doesn't yet have a complete solution to all of ML Ops. That means I still have to find other tools to fill the gaps. Usually wandb integrates well with these tools but the integration always requires work. **What problems is Weights & Biases solving and how is that benefiting you?** wandb helps me track and manage my ml processing jobs and artifacts. Without them I would have to stitch together multiple other tools or write my own ad-hoc versions of things. wandb definitely helps by automating the most tedious parts of my processing so I can do more high-value work. ### 38. A great tool for ML **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Renewables & Environment | Small-Business (50 or fewer emp.) **Reviewed Date:** September 07, 2022 **What do you like best about Weights & Biases?** W&B is an excellent tool, particularly for collaborating on and maintaining a record of machine learning experiments. I think its role is in closing the gap between training and analysis, which it does very well. **What do you dislike about Weights & Biases?** * Reports performance can be slow at times for a large number of displayed runs (e.g. 300-600) * Tools such as Sweeps don't allow for an alternative backend, and available frontend tools are somewhat clunky without specific customization towards the end use (e.g. using reports for analyzing tune results). As it exists now, I think W&B offers more to ML teams that don't have a supporting SW infrastructure team. **What problems is Weights & Biases solving and how is that benefiting you?** * Experiment tracking * Quickly performing basic analysis early on in experiments ### 39. amazing product to accelerate the whole ML team **Rating:** 5.0/5.0 stars **Reviewed by:** Dwight C. | Co-Founder & Chairman of the Board, Mid-Market (51-1000 emp.) **Reviewed Date:** August 19, 2022 **What do you like best about Weights & Biases?** Weights and Biases makes our entire workflow easier. It biases new (and sometimes seasoned!) engineers toward better best practices, makes it easier to introspect, improve, store, and serve models - it makes the entire process better. Can't recommend highly enough! **What do you dislike about Weights & Biases?** Really can't think of anything. Wish they'd ship even more new features faster; the ones they've added recently are spectacular! **What problems is Weights & Biases solving and how is that benefiting you?** Weights and Biases makes training, introspecting & improving, storing, and serving models easier. It improves the workflow of our entire machine learning engineering team. ### 40. The most important tool in ML for fast iteration **Rating:** 5.0/5.0 stars **Reviewed by:** Adrien G. | Head of ML, Mid-Market (51-1000 emp.) **Reviewed Date:** May 25, 2022 **What do you like best about Weights & Biases?** W&B is the best platform to support experimental workflows in ML. Rapid turn-around time and extensive experimentation is key to identify what works best, but you also need to keep track and motivate your choices before deploying, especially for safety-critical areas like automomous driving and robotics. W&B enables both: massive experimentation and clear management. Plus having everything in the browser, shareable, and with deep introspection capabilities is a huge productivity boost for any collaborative project. My team and I have been using it since day 1 and we can't live without it! **What do you dislike about Weights & Biases?** Nothing! The team just keeps adding features and responds really quickly to any of our bug reports. **What problems is Weights & Biases solving and how is that benefiting you?** Experimentation at scale, hyperparameter search, traceability, research exploration, continuous training and deployment of models. ### 41. Recommendation of weights and biases for new machine learning project. **Rating:** 4.0/5.0 stars **Reviewed by:** Naman G. | Teaching Assistant, Mid-Market (51-1000 emp.) **Reviewed Date:** May 27, 2022 **What do you like best about Weights & Biases?** Support almost all kind of frameworks whether it is pytorch or tensorflow on any other . It integrates very easily with other and collaborative in the real time . **What do you dislike about Weights & Biases?** Nothing to be disliked about in the application. I can just say i can be more user friendly and interactive. I find some operation that can be very simple but are difficult to use . **What problems is Weights & Biases solving and how is that benefiting you?** Solving most of my machine learning projects problems as there are very good tools available in the application. I personally use tensorflow framework and it quite easy to use and has many easy tools available. ### 42. Wandb review **Rating:** 5.0/5.0 stars **Reviewed by:** Leonardo P. | Senior Data Scientist **Reviewed Date:** August 26, 2022 **What do you like best about Weights & Biases?** The simplicity of integrating wandb into our pipelines and experiments **What do you dislike about Weights & Biases?** Nooooooooooooooooooooooooooooooooooothing **What problems is Weights & Biases solving and how is that benefiting you?** It takes away a lot of work in regards to versioning artifacts, which makes our team a lot more productive ### 43. We use it for all our projects **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Computer Software | Mid-Market (51-1000 emp.) **Reviewed Date:** June 07, 2022 **What do you like best about Weights & Biases?** Our main use case for W&B is tracking experiments and sharing them in the team. It's super easy to set up and share experiments. **What do you dislike about Weights & Biases?** Sometimes the UI is a bit slow, but not slow enough that it breaks our workflow. That's the only improvement area I can think of. **What problems is Weights & Biases solving and how is that benefiting you?** Tracking and sharing model training experiments. The reports feature is also super useful for collecting the results in one place. ### 44. Best tool for a Kaggle Data Scientist **Rating:** 5.0/5.0 stars **Reviewed by:** Abhyuday T. | Research Professional, Small-Business (50 or fewer emp.) **Reviewed Date:** June 27, 2022 **What do you like best about Weights & Biases?** Highly intuitive and simplistic API, also a great starting point for Kaggle starters. **What do you dislike about Weights & Biases?** There nothing to hate or dislike, as the it does what it say, that too beautifully. **What problems is Weights & Biases solving and how is that benefiting you?** Deep Learning model training, evaluation and implementation of research papers become very easy with W&B. ## Weights & Biases Discussions - [What is Weights & Biases used for?](https://www.g2.com/discussions/what-is-weights-biases-used-for) - [View Weights & Biases pricing details and edition comparison](https://www.g2.com/products/weights-biases/reviews?section=pricing&secure%5Bexpires_at%5D=2026-05-13+09%3A05%3A33+-0500&secure%5Bsession_id%5D=7975b3f2-e1c5-4416-a4cb-b4e82ccc7ce4&secure%5Btoken%5D=d0a6d23da1acadb98136bbc9a9dc1eb41d27e4dd918dba0f86b5b61fe14b0fef&format=llm_user) ## Weights & Biases Features **Deployment** - Language Flexibility - Framework Flexibility - Versioning - Ease of Deployment - Scalability **Deployment** - Language Flexibility - Framework Flexibility - Versioning - Ease of Deployment - Scalability **Management** - Cataloging - Monitoring - Governing - Model Registry **Operations** - Metrics - Infrastructure management - Collaboration **Management** - Cataloging - Monitoring - Governing **Generative AI** - AI Text Generation - AI Text Summarization ## Top Weights & Biases Alternatives - [ClearML](https://www.g2.com/products/clearml/reviews) - 4.7/5.0 (13 reviews) - [Comet.ml](https://www.g2.com/products/comet-ml/reviews) - 4.3/5.0 (12 reviews) - [DVC](https://www.g2.com/products/dvc/reviews) - 4.7/5.0 (11 reviews)