--- title: DagsHub Reviews meta\_title: 'DagsHub Reviews 2026: Details, Pricing, & Features | G2' meta\_description: Filter 14 reviews by the users' company size, role or industry to find out how DagsHub works for a business like yours. aggregate\_rating: rating\_value: 4.8 review\_count: 14 scale: '5' date\_modified: '2026-08-07' parent\_category: name: Artificial Intelligence url: https://www.g2.com/categories/artificial-intelligence --- ### DagsHub Pros and Cons: Top 5 Advantages and Disadvantages #### Quick AI Summary Based on G2 Reviews Generated from real user reviews Users appreciate the **efficient data management** capabilities of DagsHub, enabling seamless organization and tracking of ML projects. [(12 mentions)](https://www.g2.com/products/dagshub/reviews?filters%5Bsentiment_snippet%5D=1994338&qs=pros-and-cons#reviews) Users value the **integrated platform** of DagsHub for efficiently managing data, code, and experiments together. [(12 mentions)](https://www.g2.com/products/dagshub/reviews?filters%5Bsentiment_snippet%5D=1994275&qs=pros-and-cons#reviews) Users value the **seamless collaboration** offered by DagsHub, enhancing teamwork and productivity in data management and experiments. [(11 mentions)](https://www.g2.com/products/dagshub/reviews?filters%5Bsentiment_snippet%5D=1269999&qs=pros-and-cons#reviews) Users value DagsHub for its **seamless integration of data, experiments, and models** , enhancing reproducibility and collaboration in ML projects. [(10 mentions)](https://www.g2.com/products/dagshub/reviews?filters%5Bsentiment_snippet%5D=1994278&qs=pros-and-cons#reviews) Users value the **integrated platform** of DagsHub for efficiently managing data, experiments, and models seamlessly. [(10 mentions)](https://www.g2.com/products/dagshub/reviews?filters%5Bsentiment_snippet%5D=1994293&qs=pros-and-cons#reviews) Users find **limited functionality** in DagsHub, particularly regarding team size restrictions and project integration options. [(2 mentions)](https://www.g2.com/products/dagshub/reviews?filters%5Bsentiment_snippet%5D=1994328&qs=pros-and-cons#reviews) Users often face **error handling issues** when pushing or loading projects on DagsHub, leading to frustration. [(1 mentions)](https://www.g2.com/products/dagshub/reviews?filters%5Bsentiment_snippet%5D=1269938&qs=pros-and-cons#reviews) Users find DagsHub **expensive** due to limitations on the free plan and non-automated access for academia. [(1 mentions)](https://www.g2.com/products/dagshub/reviews?filters%5Bsentiment_snippet%5D=1994299&qs=pros-and-cons#reviews) Users find **limited customization options** on the free plan restrictive, impacting team collaboration potential. [(1 mentions)](https://www.g2.com/products/dagshub/reviews?filters%5Bsentiment_snippet%5D=1994311&qs=pros-and-cons#reviews) Users find the **strict limitations of the free plan** frustrating, especially with team size capped at two. [(1 mentions)](https://www.g2.com/products/dagshub/reviews?filters%5Bsentiment_snippet%5D=1994327&qs=pros-and-cons#reviews) ### 5 Pros or Advantages of DagsHub ##### 1. Data Management Users appreciate the **efficient data management** capabilities of DagsHub, enabling seamless organization and tracking of ML projects. [ See 12 mentions ](https://www.g2.com/products/dagshub/reviews?filters%5Bsentiment_snippet%5D=1994338&qs=pros-and-cons#reviews) See Related User Reviews ![Gourav B.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Gourav B.") GB Gourav B. Enterprise (\> 1000 emp.) 5.0/5 "Simplifies LLM Dataset Versioning and Experiment Tracking" What do you like about DagsHub? DagsHub makes it easy to manage the complex data pipelines required for training and fine-tuning large language models. We use it to version instructi ![Nilesh B.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Nilesh B.") NB Nilesh B. Small-Business (50 or fewer emp.) 4.5/5 "Best Platform for Managing LLM Training Data and Experiments" What do you like about DagsHub? DagsHub is ideal for managing large language model (LLM) training data. We use it to version curated text corpora, track data cleaning steps, and run ##### 2. Model Management Users value the **integrated platform** of DagsHub for efficiently managing data, code, and experiments together. [ See 12 mentions ](https://www.g2.com/products/dagshub/reviews?filters%5Bsentiment_snippet%5D=1994275&qs=pros-and-cons#reviews) See Related User Reviews ![Gourav B.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Gourav B.") GB Gourav B. Enterprise (\> 1000 emp.) 5.0/5 "Simplifies LLM Dataset Versioning and Experiment Tracking" What do you like about DagsHub? DagsHub makes it easy to manage the complex data pipelines required for training and fine-tuning large language models. We use it to version instructi ![Nilesh B.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Nilesh B.") NB Nilesh B. Small-Business (50 or fewer emp.) 4.5/5 "Best Platform for Managing LLM Training Data and Experiments" What do you like about DagsHub? DagsHub is ideal for managing large language model (LLM) training data. We use it to version curated text corpora, track data cleaning steps, and run ##### 3. Collaboration Users value the **seamless collaboration** offered by DagsHub, enhancing teamwork and productivity in data management and experiments. [ See 11 mentions ](https://www.g2.com/products/dagshub/reviews?filters%5Bsentiment_snippet%5D=1269999&qs=pros-and-cons#reviews) See Related User Reviews ![Gourav B.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Gourav B.") GB Gourav B. Enterprise (\> 1000 emp.) 5.0/5 "Simplifies LLM Dataset Versioning and Experiment Tracking" What do you like about DagsHub? DagsHub makes it easy to manage the complex data pipelines required for training and fine-tuning large language models. We use it to version instructi ![Nilesh B.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Nilesh B.") NB Nilesh B. Small-Business (50 or fewer emp.) 4.5/5 "Best Platform for Managing LLM Training Data and Experiments" What do you like about DagsHub? DagsHub is ideal for managing large language model (LLM) training data. We use it to version curated text corpora, track data cleaning steps, and run ##### 4. Features Users value DagsHub for its **seamless integration of data, experiments, and models** , enhancing reproducibility and collaboration in ML projects. [ See 10 mentions ](https://www.g2.com/products/dagshub/reviews?filters%5Bsentiment_snippet%5D=1994278&qs=pros-and-cons#reviews) See Related User Reviews ![Gourav B.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Gourav B.") GB Gourav B. Enterprise (\> 1000 emp.) 5.0/5 "Simplifies LLM Dataset Versioning and Experiment Tracking" What do you like about DagsHub? DagsHub makes it easy to manage the complex data pipelines required for training and fine-tuning large language models. We use it to version instructi ![Verified User](/assets/icons/anonymous-avatar-purple-4ae1032bdb50ee5682003170c8184aee790d25958bd397abbd384ba52c596a7b.svg "Verified User") U Verified User Small-Business (50 or fewer emp.) 4.5/5 "End-to-end control of ML data and experiments" What do you like about DagsHub? DagsHub gives me full control over my machine learning data and experiments. I can version raw datasets, preprocess them, track experiments, and manag ##### 5. Integrated Platform Users value the **integrated platform** of DagsHub for efficiently managing data, experiments, and models seamlessly. [ See 10 mentions ](https://www.g2.com/products/dagshub/reviews?filters%5Bsentiment_snippet%5D=1994293&qs=pros-and-cons#reviews) See Related User Reviews ![Gourav B.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Gourav B.") GB Gourav B. Enterprise (\> 1000 emp.) 5.0/5 "Simplifies LLM Dataset Versioning and Experiment Tracking" What do you like about DagsHub? DagsHub makes it easy to manage the complex data pipelines required for training and fine-tuning large language models. We use it to version instructi ![Nilesh B.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Nilesh B.") NB Nilesh B. Small-Business (50 or fewer emp.) 4.5/5 "Best Platform for Managing LLM Training Data and Experiments" What do you like about DagsHub? DagsHub is ideal for managing large language model (LLM) training data. We use it to version curated text corpora, track data cleaning steps, and run ### 5 Cons or Disadvantages of DagsHub ##### 1. Limited Functionality Users find **limited functionality** in DagsHub, particularly regarding team size restrictions and project integration options. [ See 2 mentions ](https://www.g2.com/products/dagshub/reviews?filters%5Bsentiment_snippet%5D=1994328&qs=pros-and-cons#reviews) See Related User Reviews LA Liron A. Small-Business (50 or fewer emp.) 4.5/5 "End-to-End Data and Experiment Management for ML Teams" What do you dislike about DagsHub? Didn't find an easy option to extend the abilities, for example, inheriting part of a model from a different project. ![Jakub N.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Jakub N.") JN Jakub N. Mid-Market (51-1000 emp.) 5.0/5 "DagsHub - comprehensive platform for data versioning and management, and for experiment tracking" What do you dislike about DagsHub? I haven't notice any major issues so far. The platform is robust, and caters well to our data tracking needs. I don't like the very strict limitati ##### 2. Error Handling Users often face **error handling issues** when pushing or loading projects on DagsHub, leading to frustration. [ See 1 mentions ](https://www.g2.com/products/dagshub/reviews?filters%5Bsentiment_snippet%5D=1269938&qs=pros-and-cons#reviews) See Related User Reviews ![mounika s.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "mounika s.") MS mounika s. Mid-Market (51-1000 emp.) 5.0/5 "DAGsHub is a GitHub supplement for Data Scientists and ML Engineers." What do you dislike about DagsHub? Users might get an error when trying to push files to DAGsHub while pulling files might work.When trying to load a Label Studio project from DAGsHub A ##### 3. Expensive Users find DagsHub **expensive** due to limitations on the free plan and non-automated access for academia. [ See 1 mentions ](https://www.g2.com/products/dagshub/reviews?filters%5Bsentiment_snippet%5D=1994299&qs=pros-and-cons#reviews) See Related User Reviews ![Jakub N.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Jakub N.") JN Jakub N. Mid-Market (51-1000 emp.) 5.0/5 "DagsHub - comprehensive platform for data versioning and management, and for experiment tracking" What do you dislike about DagsHub? I haven't notice any major issues so far. The platform is robust, and caters well to our data tracking needs. I don't like the very strict limitati ##### 4. Limited Customization Users find **limited customization options** on the free plan restrictive, impacting team collaboration potential. [ See 1 mentions ](https://www.g2.com/products/dagshub/reviews?filters%5Bsentiment_snippet%5D=1994311&qs=pros-and-cons#reviews) See Related User Reviews ![Jakub N.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Jakub N.") JN Jakub N. Mid-Market (51-1000 emp.) 5.0/5 "DagsHub - comprehensive platform for data versioning and management, and for experiment tracking" What do you dislike about DagsHub? I haven't notice any major issues so far. The platform is robust, and caters well to our data tracking needs. I don't like the very strict limitati ##### 5. Limited Free Access Users find the **strict limitations of the free plan** frustrating, especially with team size capped at two. [ See 1 mentions ](https://www.g2.com/products/dagshub/reviews?filters%5Bsentiment_snippet%5D=1994327&qs=pros-and-cons#reviews) See Related User Reviews ![Jakub N.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Jakub N.") JN Jakub N. Mid-Market (51-1000 emp.) 5.0/5 "DagsHub - comprehensive platform for data versioning and management, and for experiment tracking" What do you dislike about DagsHub? I haven't notice any major issues so far. The platform is robust, and caters well to our data tracking needs. I don't like the very strict limitati ## Top-Rated Alternatives [ ![Databricks](https://images.g2crowd.com/uploads/product/hd_favicon/135d1c9e39e19ef56dc8d0bf90fce20f/databricks.svg "Databricks") Databricks 4.6/5(1,363) ](https://www.g2.com/products/databricks/reviews) [ ![SAS Viya](https://images.g2crowd.com/uploads/product/hd_favicon/bd7a361df879327ee92c1d048aada28e/sas-sas-viya.svg "SAS Viya") SAS Viya 4.3/5(817) ](https://www.g2.com/products/sas-sas-viya/reviews) [ ![MATLAB](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_d5738f5e7922b4552c3ba543a2b9dee6/matlab.jpeg "MATLAB") MATLAB 4.5/5(771) ](https://www.g2.com/products/matlab/reviews) [ View All Alternatives ](https://www.g2.com/products/dagshub/competitors/alternatives) ![Gourav B.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Gourav B.") GB Gourav B. Senior Data Scientist Enterprise (\> 1000 emp.) 5/8/2025 "Simplifies LLM Dataset Versioning and Experiment Tracking" 5/5 What do you like best about DagsHub? DagsHub makes it easy to manage the complex data pipelines required for training and fine-tuning large language models. We use it to version instruction datasets, evaluate prompt variations, and track model performance over time. Having a single source of truth for data, experiments, and models has been a game-changer for reproducibility. The Git-like workflow for data is intuitive, and it integrates smoothly with our existing tools. Review collected by and hosted on G2.com. What do you dislike about DagsHub? Nothing major. It's working well for our needs. Some visualizations around dataset evolution could make debugging faster, but overall it’s a solid product. Review collected by and hosted on G2.com. What problems is DagsHub solving and how is that benefiting you? DagsHub is solving the critical problem of managing the complexity of machine learning workflows—especially around data versioning, experiment tracking, and collaboration. For our work with large language models, it simplifies the process of organizing and maintaining instruction datasets, evaluating prompt variations, and tracking model performance across time. By acting as a single source of truth for data, experiments, and models, DagsHub significantly boosts reproducibility and transparency. The Git-like interface for handling data is intuitive and integrates seamlessly with our existing toolchain, which accelerates development and reduces friction across the ML lifecycle. Overall, it's been a foundational tool for scaling our ML operations efficiently. Review collected by and hosted on G2.com. Show More Current UserValidated ReviewerSource: Organic ![Ignacio P.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Ignacio P.") IP Ignacio P. Senior Data Scientist Mid-Market (51-1000 emp.) 4/26/2025 "Reliable Infrastructure for LLM Data and Model Iteration" 5/5 What do you like best about DagsHub? DagsHub lets us keep our LLM training data, experiments, and models tightly connected. We version everything—from raw datasets to tokenizer outputs and model checkpoints. This setup makes it simple to track which data was used, how it was processed, and which experiments led to which results. It’s especially helpful when testing prompt tuning or comparing different model variants. Everything stays reproducible and easy to collaborate on across teams. Review collected by and hosted on G2.com. What do you dislike about DagsHub? No major issues so far. The platform handles version control and experiment linkage really well. A bit more UI customization would be great, especially for larger projects. Review collected by and hosted on G2.com. What problems is DagsHub solving and how is that benefiting you? Thanks to DagsHub, we’re spending more time building models and less time wrestling with setup and environment issues. Having code, data, and experiments versioned and tracked together has been a game-changer for traceability and collaboration across teams. What used to be a chaotic mix of tools is now a much more organized and reproducible workflow. It’s streamlined the way we manage ML projects from start to finish. Review collected by and hosted on G2.com. Show More Current UserValidated ReviewerSource: Organic ![Verified User in Information Technology and Services](/assets/icons/anonymous-avatar-purple-4ae1032bdb50ee5682003170c8184aee790d25958bd397abbd384ba52c596a7b.svg "Verified User in Information Technology and Services") UI Verified User in Information Technology and Services Mid-Market (51-1000 emp.) 4/28/2025 "One-Stop Shop Platform for LLM Data and Experiment Tracking" 4.5/5 What do you like best about DagsHub? DagsHub simplifies versioning large text datasets, tracking fine-tuning experiments, and managing model checkpoints—all within a single platform. In any LLM workflow, connecting a specific dataset version to a model run is essential to ensure reproducibility. DagsHub also makes it easier to manage evaluation metrics across various prompt tuning and fine-tuning experiments, all while maintaining clear data lineage. Review collected by and hosted on G2.com. What do you dislike about DagsHub? Nothing major — it works very well for my personal LLM projects. While having even more built-in support for prompt datasets would be a nice addition, I find the platform to be already great for full dataset and model versioning. Review collected by and hosted on G2.com. What problems is DagsHub solving and how is that benefiting you? I have used DagsHub for a few projects, ranging from traditional ML problems like classification to projects involving LLMs. The biggest advantage of the product for me is how easy it is to set up and have almost all experiment tracking, data/model versioning, and lineage available out of the box. This has really simplified my workflows, and I didn’t have to spend much time setting everything up myself. Review collected by and hosted on G2.com. Show More Current UserValidated ReviewerSource: Organic ![Pavlo F.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Pavlo F.") PF Pavlo F. Machine Learning Engineer Information Technology and Services Small-Business (50 or fewer emp.) 1/17/2025 "All the MLOps tools at your fingertips" 5/5 What do you like best about DagsHub? DagsHub is a best friend of Data Scientists and Machine Learning Engineers since it provides not only a version control repository for the code but also for the data artifacts, such as datasets and models. MLOps tools like DVC and MLflow are available for every repository and hosted on DagsHub out of the box so it's extremely easy to start using them right away! This is such a big advantage because, for example, MLflow tracks machine learning models locally by default so you need to set up an MLflow server when working in a team which isn't obvious and DagsHub is real time saver here. As a cherry on top of the cake, DagsHub offers many GBs of free storage for your data artifacts and you will definitely appreciate it if you want to try it out for your project. Overall, DagsHub is an amazing MLOps platform with many more stuff that will make your life so much easier, such as annotation tools, GitHub integration, Jupyter notebook diffs, etc. The DagsHub documentaion is just great but if you need extra help, the DagsHub team is super responsive on their Discord channel. Feel free to check out my DagsHub project where I describe in detail how I used its features for my model cloud deployment pipeline https://dagshub.com/PavloFesenko/gif\_analyzer Review collected by and hosted on G2.com. What do you dislike about DagsHub? No complaints, I only wish that I have discovered DagsHub earlier. 😄 Review collected by and hosted on G2.com. What problems is DagsHub solving and how is that benefiting you? DagsHub helped me to automate my model deployment pipeline thanks to hosting MLflow and providing GitHub integrations. This allows seamless update of the cloud production systems when a new machine learning model is created by data scientists so that manual actions aren't required anymore. Moreover, all these changes are tracked in MLflow so it's transparent for everyone, and rollback to previous versions can be done automatically if needed. For more details, please check my DagsHub project https://dagshub.com/PavloFesenko/gif\_analyzer Review collected by and hosted on G2.com. Show More Current UserValidated ReviewerSource: Organic ![Manuel M.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Manuel M.") MM Manuel M. Community Organizer Mid-Market (51-1000 emp.) 4/21/2025 "Streamlines Data Workflows with Reproducible Experiment Tracking" 4.5/5 What do you like best about DagsHub? DagsHub helps us organize unstructured data—images, text, and more—into well-managed datasets. What stands out is how tightly it connects our data with experiment runs and trained model versions. This makes it easy to reproduce results, compare model performance, and trace issues back to specific data changes. It’s a solid platform for teams that care about reproducibility, collaboration, and data quality in ML projects. Review collected by and hosted on G2.com. What do you dislike about DagsHub? Nothing major to note—overall, the experience has been smooth. Minor UI improvements could make large-scale project navigation even better. Review collected by and hosted on G2.com. What problems is DagsHub solving and how is that benefiting you? DagsHub brings order to the chaos of ML projects. Instead of juggling tools for code, data, and experiments, everything is versioned and tracked in one place. It’s made our workflows more reproducible and collaborative, especially when working across teams. We’ve cut down on setup time, improved traceability, and now spend more time actually building models — not debugging environments. Review collected by and hosted on G2.com. Show More Validated ReviewerSource: Organic ![Nilesh B.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Nilesh B.") NB Nilesh B. Founder Small-Business (50 or fewer emp.) 5/8/2025 "Best Platform for Managing LLM Training Data and Experiments" 4.5/5 What do you like best about DagsHub? DagsHub is ideal for managing large language model (LLM) training data. We use it to version curated text corpora, track data cleaning steps, and run experiments on fine-tuned models—all with full reproducibility. The ability to connect datasets directly to experiment runs and model outputs helps us stay organized and iterate quickly. It’s also helpful for collaborating across teams working on data prep, prompt engineering, and evaluation. Review collected by and hosted on G2.com. What do you dislike about DagsHub? No major issues. The platform handles LLM workflows well. A few more features around prompt versioning would be useful, but what’s there is already saving us a ton of time. Review collected by and hosted on G2.com. What problems is DagsHub solving and how is that benefiting you? No problem as such. Review collected by and hosted on G2.com. Show More Validated ReviewerSource: Organic ![Ori C.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Ori C.") OC Ori C. GenAI Freelancer & Consultant Small-Business (50 or fewer emp.) 3/3/2025 "Its my go to platform for experiments, data, and AI models." 5/5 What do you like best about DagsHub? DagsHub allows me to easily manage unstructured data in the context of complex models and versioning. It allows me to save a fixed state of code and data for every experiment and saves me time dealing with various tools. I have used it in several projects so far, it makes project management a lot easier. saves me time with tool integration because the internal offering is easy to implement. Review collected by and hosted on G2.com. What do you dislike about DagsHub? No major complaints, the platform has been reliable and intuitive so far. Review collected by and hosted on G2.com. What problems is DagsHub solving and how is that benefiting you? Classification, detection, basically anything that lives in the unsupervised or supervised reals. Review collected by and hosted on G2.com. Show More Current UserValidated ReviewerSource: Organic ![Jakub N.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Jakub N.") JN Jakub N. assistant professor Higher Education Mid-Market (51-1000 emp.) 1/13/2025 "DagsHub - comprehensive platform for data versioning and management, and for experiment tracking" 5/5 What do you like best about DagsHub? DagsHub provides seamless integration with the data version control tool of my choice, namely DVC; it can be easily used as remote repository for storing large data files, and for storing directories with large amount of files. I also like its integration with Git repository hosting sites, not only GitHub, but also other such services, like GitLab or Bitbucket. DagsHub repository makes it possible to browse and analyze data files, regardless of whether they are versioned using Git, or using DVC. The visualization of data processing pipeline includes both stages, and outputs / data dependencies. I have only lightly tried the experiment tracking part of DagsHub, but I like what I have seen so far. DagsHub includes support for both DVC experiments (`dvc exp`) and MLflow experiments tracking. I have yet to try the data streaming support, or mounting DagsHub storage as S3 filesystem - but it looks like a neat feature. Review collected by and hosted on G2.com. What do you dislike about DagsHub? I haven't notice any major issues so far. The platform is robust, and caters well to our data tracking needs. I don't like the very strict limitation of the free plan (maximum of 2 people in a team), but I can understand it. DagsHub does offer full version for academia, but it is at request, and it is not automated (using for example using Shibboleth login, like GitLab does it). Review collected by and hosted on G2.com. What problems is DagsHub solving and how is that benefiting you? For us, DagsHub solves a few problems. First is helping to avoiding unnecessary re-computations; thanks to DagsHub working as a data version remote, one person can make use of the results computed by another person, even if they use different machines. Second, it allows to examine data via a web browser interface, without the need to access the machine the data was computed on. Third, it helps with dissemination of data together with code (and with experiments and their metrics and associated plots). Review collected by and hosted on G2.com. Show More Validated ReviewerSource: Organic ![Verified User in Computer Software](/assets/icons/anonymous-avatar-purple-4ae1032bdb50ee5682003170c8184aee790d25958bd397abbd384ba52c596a7b.svg "Verified User in Computer Software") UC Verified User in Computer Software Small-Business (50 or fewer emp.) 5/4/2025 "End-to-end control of ML data and experiments" 4.5/5 What do you like best about DagsHub? DagsHub gives me full control over my machine learning data and experiments. I can version raw datasets, preprocess them, track experiments, and manage model outputs, all in one place. This tight integration means less time syncing tools and more time improving my models. It’s especially useful for unstructured data like images and documents, where traceability and collaboration are hard to maintain without the right setup. Review collected by and hosted on G2.com. What do you dislike about DagsHub? Nothing critical so far. The platform handles most of my workflows out of the box. Would be great to see more integrations with external training environments, but the current ones cover most use cases. Review collected by and hosted on G2.com. What problems is DagsHub solving and how is that benefiting you? It takes care of image data versioning and preprocessing, and experiment tracking. Review collected by and hosted on G2.com. Show More Validated ReviewerSource: Organic LA Liron A. Freelancer Small-Business (50 or fewer emp.) 3/20/2025 "End-to-End Data and Experiment Management for ML Teams" 4.5/5 What do you like best about DagsHub? DagsHub provides an out of the box platform to manage data, code and experiments in one place Review collected by and hosted on G2.com. What do you dislike about DagsHub? Didn't find an easy option to extend the abilities, for example, inheriting part of a model from a different project. Review collected by and hosted on G2.com. What problems is DagsHub solving and how is that benefiting you? Managing different aspect of the project in one place, so I recreate what works and investigate why Review collected by and hosted on G2.com. 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