# WhyLabs Reviews **Vendor:** WhyLabs **Category:** [MLOps Platforms](https://www.g2.com/categories/mlops-platforms) **Average Rating:** 4.6/5.0 **Total Reviews:** 27 ## About WhyLabs The ability to control and observe the health of AI applications is critical for the success and ROI of every experience powered by either predictive or generative AI models. WhyLabs enables teams to deploy AI applications responsibly and run them without failure. From Fortune 100 companies to AI-first startups, teams have adopted WhyLabs’ tools to monitor ML and generative AI applications. WhyLabs’ open source tools and SaaS observability platform surface drift, data quality issues, bias, and hallucinations. With WhyLabs, teams reduce manual operations by over 80% and cut down time-to-resolution of AI incidents by 20x. ## WhyLabs Pros & Cons **What users like:** - Users highlight the **superb customer support** from WhyLabs, making implementation and troubleshooting much easier. (4 reviews) - Users appreciate the **robust data observability capabilities** of WhyLabs, enabling quick identification of data issues and enhancing security. (1 reviews) - Users value the **robust analytics capabilities** of WhyLabs for effective monitoring of features and model performance. (1 reviews) - Users highlight WhyLabs' **robust data observability capabilities** , enabling rapid identification of data issues and enhancing security. (1 reviews) - Users find the **ease of use** in WhyLabs beneficial for simplifying monitoring and alert processes effectively. (1 reviews) - Users appreciate the **easy setup and integration** of WhyLabs, enjoying smooth data ingestion and reliable monitoring features. (1 reviews) - Flexibility (1 reviews) - Machine Learning (1 reviews) - Model Management (1 reviews) - Rapid Development (1 reviews) **What users dislike:** - Users find the **API issues** challenging due to limited UI functionalities and complex documentation navigation. (2 reviews) - Users note the **missing features** in WhyLabs, such as profile deletion and limited user feedback, affecting usability. (2 reviews) - Users find the **poor documentation** frustrating, making setup and building custom monitors unnecessarily challenging. (2 reviews) - Users find the **difficult setup** of WhyLabs challenges their experience, often leading to confusion and frustration. (1 reviews) - Users find the **lack of guidance** in building custom monitors challenging, wishing for better documentation and FAQs. (1 reviews) - Performance Issues (1 reviews) - Steep Learning Curve (1 reviews) ## WhyLabs Reviews ### 1. A must have if you're organization is mature enough to use it **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Real Estate | Enterprise (> 1000 emp.) **Reviewed Date:** August 02, 2023 **What do you like best about WhyLabs?** The core functionality is explicitly important when you are having AI/ML solutions running on production. Instead of spending time on manual checks (that can be prone to error) you can set up monitors to inform you if something is going wrong. It is flexible enough to build your cusotm metric and monitors which allows for versatile usage. What is highly important to me is the contact with WhyLabs team. Their support is superb which results in fact that even if something is difficult to implement, I know I have people who will help me get the best out of the platform. **What do you dislike about WhyLabs?** Building custom monitors and metrics is a chellanging experience. I struggle sometimes with code issues so better FAQ or documentation could be helpfull to avoid them. **What problems is WhyLabs solving and how is that benefiting you?** We are having multiple user facing projects that are working on production. We need to know if their performance is deteriorating, if we see some bias, data drift or missing data. ### 2. Developed efficient solutions for optimizing ERP workflows through data analysis **Rating:** 4.0/5.0 stars **Reviewed by:** Rafael S. | Telematics Engineer, Small-Business (50 or fewer emp.) **Reviewed Date:** September 18, 2024 **What do you like best about WhyLabs?** One of the standout features of WhyLabs is its robust data observability capabilities. It provides continuous monitoring of data pipelines and ML models, allowing teams to quickly identify issues like data drift, model degradation, and training-serving skew. The platform's privacy-preserving integration ensures that data can be analyzed without moving or duplicating it, which is critical for maintaining security and privacy in sensitive industries like healthcare and finance​ **What do you dislike about WhyLabs?** One potential drawback of WhyLabs is its relatively limited user reviews and feedback due to its newness in the market, making it harder for potential users to gauge its real-world performance at scale. This lack of detailed reviews can raise concerns about its maturity and support infrastructure​.Additionally, since it’s a newer platform, some advanced features might still be in development, and there could be steep learning curves for teams unfamiliar with observability tools in machine learning​. **What problems is WhyLabs solving and how is that benefiting you?** Data quality issues: It helps detect and address data drift and data integrity problems early, which is crucial for maintaining accurate and reliable ML models​ ### 3. Whylabs helped us setup end-to-end monitoring of our ML projects **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Internet | Mid-Market (51-1000 emp.) **Reviewed Date:** November 19, 2024 **What do you like best about WhyLabs?** * The customer support is very helpful and proactive * Tool allows for easy ingestion of big number of features and setting up initial monitoring on them * We can use it to monitor both: input quality and model performance * The alerts can be raised to specific group of users via specific channels (email/slack), which is helpful **What do you dislike about WhyLabs?** * It can be challenging to setup the monitoring in the correct way when it comes to sensitivty - it requires a lot of trial and error * Some actions are not possible via UI and require specific API calls * Documentation can be hard to navigate **What problems is WhyLabs solving and how is that benefiting you?** Monitoring model performance and input data quality in one place. ### 4. Excellent tool for ML Monitoring with many out-of-the box solutions **Rating:** 4.5/5.0 stars **Reviewed by:** Houssam K. | ML Engineering Manager, Mid-Market (51-1000 emp.) **Reviewed Date:** November 14, 2024 **What do you like best about WhyLabs?** Great to collaborate with; very responsive; really appreciate their OHs to help out with issues that pop up; many out-of-the-box solutions for different kinds of ML models which really helped us out given the wide variety of ML models we run at the company. **What do you dislike about WhyLabs?** Nothing major to mention! We got everything resolved and the team was very helpful. **What problems is WhyLabs solving and how is that benefiting you?** Data Drift and ML Monitoring ### 5. Easy Integration and Outstanding LLM Monitoring with WhyLabs AI Observatory **Rating:** 5.0/5.0 stars **Reviewed by:** Hiroshi O. | Small-Business (50 or fewer emp.) **Reviewed Date:** February 28, 2024 **What do you like best about WhyLabs?** The foremost aspect that stood out for us was the ease of integration. It was quite straightforward, almost as same as the sample code to put LangKit into our LLM pipeline and upload it to WhyLabs. The getting-started docs were clear and concise. Even for companies with limited resources like ours, WhyLabs AI Observatory proves to be an accessible and easily adaptable solution. **What do you dislike about WhyLabs?** The data visualization tools are highly capable, although there is some learning curve to master it. However, their customer success and support team are responsive, helpful, and have consistently gone above and beyond to ensure that we utilize the platform to its full potential. **What problems is WhyLabs solving and how is that benefiting you?** The monitoring capabilities of WhyLabs AI Observatory are the main reason why we use it. We have very limited control of external LLM services. WhyLabs provides alerts and insights into those LLM models, enabling us to identify and address potential issues promptly. ### 6. Self-Serve Observability Platform **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Consulting | Small-Business (50 or fewer emp.) **Reviewed Date:** March 05, 2024 **What do you like best about WhyLabs?** WhyLabs is the second observability platform I have ever used, and I can say the core features I like about the platform is that it is easy to set up and implement the features, the checks and metrics were already pre-loaded so I did not need to do much in configuring the application, and monitoring was not difficult to get started with. It also integrates well with the serving and data libraries we used for the production tutorial setup. **What do you dislike about WhyLabs?** Nothing so far, I only experienced a stability issues once (sometime in 2022), but support was able to help me quickly fix it. **What problems is WhyLabs solving and how is that benefiting you?** Since 2022, I have sparesely used WhyLabs to monitor the quality of datasets for one client and 2 customers (because it was not their core requirment but a nice piece of their stack to have). whylogs seemed like the perfect choice for a consultant that clients did not want to entirely release their data to; I found that it only captures the profile and stats info instead of the raw data here. Rcently, I started testing out LLM security features with LangKit and I cannot believe how quick it is to use. I followed a workshop few months ago that showed me how to detect jailbreak attempts and toxicity in LLM inputs and outputs using LangKit. Took that learning and now with a client's project, we have tested out logging the telemetary data from the evaluation to WhyLabs. Looks good so far, so once I upgrade the pricing limit for this client, we plan to scale our usage here. Excited about this one. ### 7. Top notch features at an affordable price **Rating:** 5.0/5.0 stars **Reviewed by:** Federico G. | Small-Business (50 or fewer emp.) **Reviewed Date:** March 04, 2024 **What do you like best about WhyLabs?** I've used WhyLabs for a few weeks and I was extremely pleased with it! I will evaluate some dimensions of the tool that summarize my experience with it. Easy Data Ingestion: The ingestion API is straightforward to use and supports multiple connectors such as BigQuery, Databricks, and Spark, making data importation easy. Whylabs' use of Data Profiling ensures fast and secure data processing, eliminating the need to upload entire datasets, and making all the process very secure, since your data doesn't leave your servers. Reliable Data Features: Whylabs delivers all standard feature metrics accurately. Tracking data and model drift is very straightforward using Monitors. Also, the platform supports custom metrics creation during or after ingestion. Grouping by variables (segments) works well but must be defined during ingestion. Then you can analyze dataset features and track model performance per segment. Flexible Monitors: The monitoring system in Whylabs is highly adaptable and user-friendly, covering multiple variables with ease. Monitors are easy to set up via the UI or JSON import, with summarized notifications for each monitor, keeping users informed without overwhelming them. Additionally, monitors are JSON serializable, which is very helpful since you can track them with version control. User-Friendly Usability: Whylabs have a clean and intuitive UI, simplifying navigation for users. While some advanced features may require programming knowledge, most tasks can be accomplished within the UI. Thanks to data profiling, Whylabs delivers speedy performance without compromising on accuracy. Solid Documentation: The documentation provided by Whylabs is comprehensive and easy to understand, enabling users to make the most of the platform. Pricing: It's simply cheaper than its competition while having top notch features. Customer Support: They are always very helpful, answering all our questions and having several calls showcasing us different uses cases directly on the platform. Overall, Whylabs offers a straightforward, efficient and affordable solution for monitoring Machine Learning models, with easy data ingestion, reliable feature analysis, and flexible monitoring options. **What do you dislike about WhyLabs?** There are a few cons: - Dashboards are in beta, and while functional, they lack polish in terms of user interface. They are working actively on this, so probably a few months after this review this may be already fixed. - Defining groupings by variables must be done at ingestion time, limiting flexibility for post-ingestion analysis. That being said, they are very open to feedback and they may change or add features based on your needs. In our case, dashboards were important and they are working on them. **What problems is WhyLabs solving and how is that benefiting you?** It solves most of the ML model monitoring needs that ML models often have while being affordable. ### 8. WhyLabs Platform - offering intuitive insights into AI model behavior. **Rating:** 4.0/5.0 stars **Reviewed by:** Abdul Qadir S. | Small-Business (50 or fewer emp.) **Reviewed Date:** March 04, 2024 **What do you like best about WhyLabs?** My experience with the WhyLabs Platform was enlightening, offering intuitive insights into AI model behavior and enhancing my understanding of AI observability. The best part of about the interface is its user friendly interface and comprehensive suite of analytics which provide valuable insights into AI model behavior and which would also enable a dashboard for data monitoring, model features. It also facilitates real time monitoring, ultimately enhancing efficiency of AI development processes. It also gives you the leverage to customise the model features as per the project requirement. **What do you dislike about WhyLabs?** Few advanced customisation options for analytics is not available as of now, but as informed it would be available soon as an update in the platform. So that solves the downside down the line. **What problems is WhyLabs solving and how is that benefiting you?** The main things which is being helped with is the data observability and monitoring. It could help me to effectively integrate and monitor the behavior of AI models, enabling to detect issues like data drift, model degradation and biases. This in turn helps in mitigating risks and optimizing model performance. ### 9. Super powerful and simple **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Transportation/Trucking/Railroad | Mid-Market (51-1000 emp.) **Reviewed Date:** February 27, 2024 **What do you like best about WhyLabs?** WhyLabs is so useful for debugging, maintaining, and developing production ML systems. It's portable, highly configurable, and provides unified visibility across a broad range of systems/services in a production ML ecosystem. It dramatically improves ML devops and is incredibly easy to get started. It integrates very easily with all the systems I've used, implementation is a breeze, and there's very low friction to get started. I've caught tons of issues using it. **What do you dislike about WhyLabs?** I don't really have any complaints about it, it does its thing incredibly well for my use cases. **What problems is WhyLabs solving and how is that benefiting you?** Visibility and observability that is unified across all stages of ML dev and ops: model training, development, deployment, testing, etc. Importantly it integrates with a broad range of systems/languages. It accelerates development/deployment by provide great visibility. For ops, it has caught so many super costly issues which everything else misses, especially things related to train/serve skew or semantic drift. Seriously, it's a must-have for productionizing ML. ### 10. I built a monitoring solution with Whylabs for multiple ML models for a client of mine. **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Consulting | Mid-Market (51-1000 emp.) **Reviewed Date:** November 21, 2024 **What do you like best about WhyLabs?** The UI is very user friendly and the support team is extremely responsive and helpful. **What do you dislike about WhyLabs?** Some features such as deleting a profile or changing the data type of a feature can only be done through the API. **What problems is WhyLabs solving and how is that benefiting you?** Data and concept drift detection Model performance monitoring ### 11. Reliable AI Monitoring with Some Complexity **Rating:** 2.5/5.0 stars **Reviewed by:** Verified User in Biotechnology | Small-Business (50 or fewer emp.) **Reviewed Date:** September 13, 2024 **What do you like best about WhyLabs?** I like the privacy preserving solutions for scaling AI models. I like that WhyLabs offer responsive support and detailed documentation. **What do you dislike about WhyLabs?** I dislike that the platform might be overly technical for users who are not well-versed in AI or data science **What problems is WhyLabs solving and how is that benefiting you?** WhyLabs helps me solve issues like data drift and performance degradation in my AI models. This is crucial because I am working with sensitive medical data. ### 12. Monitoring LLMs for succees! **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Information Technology and Services | Small-Business (50 or fewer emp.) **Reviewed Date:** March 04, 2024 **What do you like best about WhyLabs?** The team behind WhyLabs is awesome. I like how easy it is to get started with their platform, their commitment to an open-source approach, and their active engagement with the AI community with regular workshops and education around cutting-edge monitoring and evaluation techniques. **What do you dislike about WhyLabs?** Having more flexibility in visualizations and easier ways to share them outside the product would be nice. **What problems is WhyLabs solving and how is that benefiting you?** I use WhyLabs to help keep a pulse on LLMs by monitoring valuable metrics such as jailbreak scores, sentiment, toxicity, and readability. This has helped me catch problems early and gives me some good metrics to compare when finetuning models or adjusting prompts. ### 13. Simplifying Complexity in LLM Monitoring **Rating:** 5.0/5.0 stars **Reviewed by:** Zaid A. | Data Scientist, Small-Business (50 or fewer emp.) **Reviewed Date:** March 04, 2024 **What do you like best about WhyLabs?** WhyLabs is an exceptional observability tool for applications built with large language models. Its ease of use enables us to integrate langkit into the existing architecture. Additionally, they have an excellent customer support community. **What do you dislike about WhyLabs?** Building custom applications with large language models is a challenging experience. Better documentation about how to effectively use Whylabs in monitoring applications with LLMs would be helpful. **What problems is WhyLabs solving and how is that benefiting you?** WhyLabs is very helpful in monitoring applications built with large language models by providing a highly simplified observability tool. This has overcome the challenges we were facing with our productionized application. ### 14. Outstanding Support and Speed of Innovation **Rating:** 5.0/5.0 stars **Reviewed by:** Luis T. | Enterprise (> 1000 emp.) **Reviewed Date:** July 21, 2023 **What do you like best about WhyLabs?** We recently integrated the WhyLabs AI Observatory into our team's model serving platform to monitor input features and model scores in near real-time. I was impressed by its seamless integration and range of capabilities. They provided some good examples, so it was easy to integrate monitoring of our data. I also like the large amount of monitors and dashboards to debug various aspect of ML data and models. We set up alerts through Slack which was also easy to set up. The alerts are useful to detect issues with our model's features such missing data. We also watch WhyLabs dashboards when deploying new model versions to ensure a smooth rollout. Another highlights is is user interface. It's user-friendly, clear, and intuitive. They have some preset monitors that are easy to add with just a few clicks. I noticed they added more preset monitors recently which shows their rapid innovation. Finally, and what I like the most, is its customer support. The team is responsive, and they are always ready to assit, and they quickly reply for any questions or help we ask. **What do you dislike about WhyLabs?** One point to mention is the discoverability and enablement of some of their advanced features. However, this could be a results of their rapid innovation, which continuously expands the platform's capabilities. A bit more documentation on navigating these features could improve the user experience, but it's a small aspect in an otherwise impressive system. **What problems is WhyLabs solving and how is that benefiting you?** WhyLabs AI Observatory is a crucial tool that helps us to maintain the integrity and performance of our real-time Machine Learning models. It lets us monitor the features and model predictions to ensure they behave as per our expectations. By integrating WhyLabs, we are able to comprehensively capture potential data drift in predictions and detect anomalies in model inputs and ouputs, which significantly increases the reliability of our models. We have also established monotors that promptly alerts us to any emerging issues, enabling swift and appropriate action. ### 15. Excellent product by an amazing team **Rating:** 4.5/5.0 stars **Reviewed by:** Keling C. | Data Engineer, Financial Services, Enterprise (> 1000 emp.) **Reviewed Date:** July 21, 2023 **What do you like best about WhyLabs?** WhyLabs is a great solution for our team in monitoring ML features. With WhyLabs seamless integrated in our daily pipelines, we can keep track of our data quality, receive timely alerts via both email and Slack, and detect the anomalies in their early stages. We are also impressed by the tremendous support from the WhyLabs team. Collaborating with them has been an absolute delight. **What do you dislike about WhyLabs?** Just like with any new product, there is always room for improvement in both the platform and its monitoring capabilities. I am anticipating new features in dashboards that offer data profiles at more granular levels and from different perspectives. Additionally, having a comprehensive API client tool to check and retrieve profiles would benefit our specific use cases. **What problems is WhyLabs solving and how is that benefiting you?** Delivering consistent and reliable data to our customers stands as a fundamental responsibility of our team. However, given the chaos in the real world and the complexity of infrastructure dependencies, detecting data quality issues promptly poses notable challenges. WhyLabs provides solutions to monitor statistical properties of large datasets, giving us the confidence to move forward with our data services. ### 16. A robust AI Observability platform with a thoughtful approach to data privacy **Rating:** 5.0/5.0 stars **Reviewed by:** Alan D. | CTO, Information Technology and Services, Mid-Market (51-1000 emp.) **Reviewed Date:** August 24, 2023 **What do you like best about WhyLabs?** As an AI consulting and services firm, we’re always on the lookout for tools that our customers can leverage to improve their adoption of AI. Model monitoring and maintenance are big needs for any company actively investing in AI that wants to turn those investments into returns. We’ve been testing out WhyLabs as a potential observability solution and have been impressed with its capabilities. Their recent platform expansion with LLM observability and guardrails aligns well with the Gen AI capabilities that are becoming important to many of our customers. WhyLabs offers a wide range of functionality, including data profiling, model monitoring, alerting, and root cause analysis. The platform covers many of the end-to-end workflow needs of an ML team. A key part of their approach is the open-source whylogs library for local data profiling. Rather than sending raw data to the cloud, whylogs lets you summarize on-premises before sending compact statistical profiles. Contrary to some other monitoring solutions, this aligns very well with many of our clients’ strict data privacy expectations. whylogs itself is straightforward to integrate and use. You can add monitoring to a pipeline with minimal fuss. As an open-source tool, it provides transparency into what’s being tracked and how. On the support side, we’ve found the WhyLabs team extremely nice and responsive. The platform documentation is fairly comprehensive as well. Another key plus is that we found their pricing model really fair. For teams looking for an observability solution, WhyLabs is definitely worth a close look. The platform covers a wide range of ML workflow needs, and their approach to data privacy is a plus. We look forward to using it more broadly! **What do you dislike about WhyLabs?** Nothing major. There is always room for improving documentation and platform features. **What problems is WhyLabs solving and how is that benefiting you?** As an AI consulting and services firm, Tryolabs' mission is to help companies accelerate their adoption of AI. We guide clients through their AI roadmaps, building, deploying, scaling and monitoring production-ready ML systems. Robust monitoring and observability are crucial to running AI responsibly in production. WhyLabs provides an invaluable end-to-end solution for the monitoring challenges ML teams face. WhyLabs gives us comprehensive observability into our clients' ML pipelines. The privacy-preserving design using whylogs is also critical for many of our clients. By leveraging WhyLabs, we can focus on rapidly delivering AI value for our clients rather than building custom monitoring. It's a trusted platform that sets up our clients for ongoing success after models go into production. ### 17. Intuitive and user-friendly product. **Rating:** 5.0/5.0 stars **Reviewed by:** Jihyeon B. | PHD Student, Small-Business (50 or fewer emp.) **Reviewed Date:** February 14, 2024 **What do you like best about WhyLabs?** I see so much potential how it can be applied to my own academic work. It's very friendly by providing easy-to-read plots and intuitive platform. **What do you dislike about WhyLabs?** I found some of the features very slow to display. **What problems is WhyLabs solving and how is that benefiting you?** I don't have any specific problem at the moment, but I see potential in using it to conduct a short text analysis as an exploratory method. ### 18. Great product and excellent team **Rating:** 5.0/5.0 stars **Reviewed by:** Duc L. | Mid-Market (51-1000 emp.) **Reviewed Date:** July 20, 2023 **What do you like best about WhyLabs?** In my opinion, Whylabs is an excellent product which provides a lot of useful insights on model performance, model inputs and model outputs. With the insights provided by Whylabs, we immediately found ideas to further improve our models. It's worth to highlight the support that we have from Whylabs team. It has been a smooth collaboration with Whylabs team. Whenever I have any questions about using Whylabs, I got my questions answered within a very short turnaround time. **What do you dislike about WhyLabs?** Having more documentations/tutorials on some situations may help users better onboard with Whylabs. In addition, for existing documentations, keeping it up-to-date with latest changes may also help. **What problems is WhyLabs solving and how is that benefiting you?** Whylabs helps provide insights on Machine Learning models in production: model performance, data drift, data skewness, etc. ### 19. Great product on the forefront of AI/ML observability, including LLMs **Rating:** 4.5/5.0 stars **Reviewed by:** Jay B. | Advisor, Small-Business (50 or fewer emp.) **Reviewed Date:** July 31, 2023 **What do you like best about WhyLabs?** WhyLabs is a great team building an innovative product at the forefront of AI/ML. I love the OSS approach and have been using and recomending their new product Langkit to my LLM dev community. We all have a lot of questions about how we're going to measure and protect our LLM-based products. Very cool that Whylabs has come oout with a comepelling product so quickly, while the ground is still shifting. **What do you dislike about WhyLabs?** It is still early days and there is a lot more to build, measure and monitor, especially as the LLM space contnues to rapidly evolve. I am looking forward to seeing new features and capabilities in Langkit as the models get more sophisticated and our underdstanding of the technical and business metrics emerge that will govern how we build LLM-based products and services. **What problems is WhyLabs solving and how is that benefiting you?** My colleagues and I need to understand and keep our finger on the pulse of these currently still unweildy beasts (LLMs) that don't always act in a predictable manner. Output quality, relevance and security are still in its infancy wrt LLMs. WhyLab's Langkit is off to a great start giving us visibiity into these crucial metrics, giving us the confidence to move forward with our own LLM-based products and services. ### 20. WhyLabs answers Why **Rating:** 4.5/5.0 stars **Reviewed by:** Tochukwu N. | AI Technical Writer, Small-Business (50 or fewer emp.) **Reviewed Date:** February 18, 2024 **What do you like best about WhyLabs?** WhyLabs Al is easy to understand and use. It enhances interpretability, making it easier for data scientists and machine learning engineers to understand model behavior **What do you dislike about WhyLabs?** More detailed dashboard would be more helpful **What problems is WhyLabs solving and how is that benefiting you?** It enable me monitoring and understanding the interaction between my data and model ### 21. Amazing 1:1 Technical Support **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Retail | Enterprise (> 1000 emp.) **Reviewed Date:** January 30, 2024 **What do you like best about WhyLabs?** While we have not gone extremely deep into all the features that Whylabs provides, we have had extraordinary 1:1 technical support. They are quick to respond, fast at finding solutions, and eager to make improvements for your use case. **What do you dislike about WhyLabs?** There is some complexity setting up data that lags behind the current date but with some changes you can easily overcome this. **What problems is WhyLabs solving and how is that benefiting you?** Whylabs helps us monitor our models in production. ### 22. Excellent product for model monitoring **Rating:** 4.5/5.0 stars **Reviewed by:** Lanqi F. | Mid-Market (51-1000 emp.) **Reviewed Date:** February 13, 2023 **What do you like best about WhyLabs?** Whylabs offers a great platform for people who are interested in adding monitoring capabilities to your models. It provides great visuals for data distributions, and also offers easy-to-add data monitors / alerts to detect anomalities, data drift, and so on. It has also been a great pleasure for me to work with the Whylabs team. They have really excellent experts who have helped us a lot with the integration of whylogs to our models. Great optimization has been done on their side to make whylogs work for our specific use case. **What do you dislike about WhyLabs?** It would be great to have more options to custom the dashboards for profiles. Documentation could also be better and more complete. However, Whylabs is consistently improving their product, I can definitely see a more mature product in the near future! **What problems is WhyLabs solving and how is that benefiting you?** Whylabs helps monitor the inputs and outputs of our model. Integrating Whylogs to this service helps open the door for capturing potential data drift in predictions, detecting anomalies in model inputs, and understanding user traffic better. ### 23. Great product backed by a fantastic team **Rating:** 4.5/5.0 stars **Reviewed by:** Rolland H. | Engineering Manager, Machine Learning Science, Small-Business (50 or fewer emp.) **Reviewed Date:** February 10, 2023 **What do you like best about WhyLabs?** As a product, WhyLabs AI Observatory helps fulfill a critical role in providing observability for ML models and pipelines. Our ML team has adopted WhyLabs for some mission-critical models, providing ease of mind that we're tracking the metrics needed to ensure model performance and responsible use of data. The WhyLabs team is also super quick to support our ML team's questions and feature requests. They have been a pleasure to work with, and I look forward to continued collaboration. **What do you dislike about WhyLabs?** Being a relatively young company, they don't yet provide the functionality and documentation coverage to cover all the existing ML use cases. That being said, the onboarding process has been reasonably smooth for us, and any features that weren't already part of the product were quickly added. **What problems is WhyLabs solving and how is that benefiting you?** WhyLabs provides easy ways to track different metrics across our data and ML models. It also allows us to visualize the data intuitively through a web UI. Focus on high-quality data is being recognized as a more and more critical component of the ML lifecycle, so having a tool like WhyLabs AI Observatory lends confidence to our models and data. ### 24. WhyLabs made monitoring our generative models flexible and useful **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Computer Software | Enterprise (> 1000 emp.) **Reviewed Date:** July 24, 2023 **What do you like best about WhyLabs?** The platform is flexible, privacy friendly (you don't have to send user data) and provides a great command center view with many alerting options. **What do you dislike about WhyLabs?** The software is great, no complaints at all. **What problems is WhyLabs solving and how is that benefiting you?** WhyLabs helps us monitor our models to ensure the performance doesn't change over time, that any upstream or downstream data inconsistencies or changes are noticed quickly. We monitor some simple metrics, for example word count, and some more complex metrics, such as cosine similarity. I like that the tool is flexible enough to monitor anything we can calculate, then provides best practices for alerting around unexpected variance and extreme values. ### 25. WhyLabs: Excellent Product, Amazing Team! **Rating:** 5.0/5.0 stars **Reviewed by:** Erin W. | Senior Product Manager, Trading Intelligence, Enterprise (> 1000 emp.) **Reviewed Date:** January 16, 2023 **What do you like best about WhyLabs?** After researching the major players in the ML Observability space I concluded that the WhyLabs team has the best understanding of what functionality is actually needed to conduct actionable monitoring of your ML models and to ensure that you can trust your ML systems to run at scale. The team at WhyLabs has a deep understanding of the problem of ml observability and that is reflected in the product which enables you to perform monitoring easily and intuitively without overcrowding the product with unnecessary, confusing functionality (which a number of competitors do). **What do you dislike about WhyLabs?** Nothing! WhyLabs has an amazing product which is a reflection of the really strong team that builds it! **What problems is WhyLabs solving and how is that benefiting you?** WhyLabs solves the problem of ML observability. When a company is running ML models in production that make critical decisions that affect their customers and/or product, it's necessary to ensure that those models are running healthily and not generating bad predictions. WhyLabs enables a company to trust their ML models to make these decisions because they know that through WhyLabs, they will be alerted if a model starts to fail so they can take immediate action to fix the model and prevent negative impact. ### 26. Excellent AI Observability service! Easy to deploy and use! **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Information Technology and Services | Small-Business (50 or fewer emp.) **Reviewed Date:** January 18, 2023 **What do you like best about WhyLabs?** The ability to gain insight into changing data trends quickly - Normally, it would take days or weeks to assess via traditional monitoring tools. With WhyLabs AI Observatory, it can be done within significantly less time. **What do you dislike about WhyLabs?** It could use a little more documentation to assist with the initial setup. There were a few cases where an info popup would have been useful to clarify questions during the setup process. **What problems is WhyLabs solving and how is that benefiting you?** Quick and timely insights into data trends to help determine how our clients are using our services. We could determine the most commonly used features our clients use across our products on our web application. ### 27. WhyLabs! An excellent platform for Data Monitoring **Rating:** 5.0/5.0 stars **Reviewed by:** Mahmoud L. | Director of Machine Learning, Enterprise (> 1000 emp.) **Reviewed Date:** December 21, 2022 **What do you like best about WhyLabs?** WhyLabs tools are easy to use and also provide a lot of security and privacy because much of the processing can be done locally instead of by the vendor. **What do you dislike about WhyLabs?** There's not a lot on the platform that I dislike. It's a very powerful platform that can be overwhelming in some instances. **What problems is WhyLabs solving and how is that benefiting you?** Data and Model monitoring to make sure that there is consistency in the data and the predictions. - [View WhyLabs pricing details and edition comparison](https://www.g2.com/products/whylabs/reviews?section=pricing&secure%5Bexpires_at%5D=2026-06-05+11%3A04%3A22+-0500&secure%5Bsession_id%5D=198c92f9-68ec-43ef-a62d-9bc79ca96e3f&secure%5Btoken%5D=ea114069f3a28788fb5d15c7604c38dbdf6cacc3931052c2a031132908c510cf&format=llm_user) ## WhyLabs 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 WhyLabs Alternatives - [Databricks](https://www.g2.com/products/databricks/reviews) - 4.6/5.0 (778 reviews) - [Gemini Enterprise Agent Platform](https://www.g2.com/products/gemini-enterprise-agent-platform/reviews) - 4.3/5.0 (650 reviews) - [Snowflake](https://www.g2.com/products/snowflake/reviews) - 4.5/5.0 (707 reviews)