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DAGsHub description
DAGsHub is a platform designed specifically for data science teams to manage their work. It provides tools for tracking experiments, managing data, and collaborating on machine learning projects. DAGsHub helps teams organize their projects, track progress, and improve the reliability of their models. It integrates with popular data science tools like Git and MLflow, offering a centralized hub for all machine learning project needs.
Who is DAGsHub best for
DAGsHub is a platform for data science teams to manage machine learning projects, offering tools for tracking experiments, managing data, and team collaboration. It integrates with tools like Git and MLflow, providing a central hub for project needs. DAGsHub offers various pricing plans, including a free Community plan and paid options like Starter, Team, and Enterprise.
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Best for medium-sized businesses.
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No industry fit data available.
DAGsHub features
| Supported DAGsHub automatically versions datasets, metadata, and annotations, facilitating reproducibility. |
| Supported DAGsHub provides experiment tracking capabilities compatible with MLflow, allowing for progress monitoring and result comparison. |
| Supported DAGsHub's Model Registry enables management of models and deployments, creating a clear lineage from model to data. |
| Supported DAGsHub allows data uploads, connecting storage, enriching, querying, visualizing, and validating multimodal datasets. |
| Supported DAGsHub supports vision, audio, document, and LLM data annotation with custom templates and human-in-the-loop evaluation. |
| Supported DAGsHub enables automated annotation with pre-built templates and active learning by connecting user's models. |
| Supported DAGsHub supports rich visualizations for multimodal data, including videos, audio, and point clouds, and monitoring of ML runs. |
DAGsHub pricing
See the DAGsHub pricing page.
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DAGsHub has a free plan.
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DAGsHub has a free trial.
Contributor
Unlimited public repositories with unlimited collaborators, unlimited private repositories for non-commercial use, unlimited experiment tracking for public repositories, up to 100 tracked experiments in private repositories, up to 2 collaborators in private projects, 20GB of DagsHub Storage, data versioning and lineage, annotations workspace for public repositories, notebook versioning & diffing, CI/CD/CT integration, interactive pipelines, community support
Starter
Everything in Free and up to 5 private repositories, up to 5 organization members, unlimited experiment tracking for private repositories, 50GB of data, team access controls
Team
Everything in Starter and unlimited private repositories, unlimited Data Engine datapoints, up to 5 Annotation projects for private repos, up to 1TB of data or up to 2 million files, DagsHub email support
Enterprise
Everything in Team and scale to your data storage needs, direct expert support and other services
DAGsHub alternatives
SAS Visual Data Mining and Machine LearningBetter fit for enterprise companies. More established and has wider adoption with more reviews. Users praise the intuitive interface and automation features but dislike the cost and limited open-source integration. Slower momentum compared to DagsHub.Read more
neptune.aiBetter for larger teams and projects. More established, with a larger user base and more positive customer reviews. Offers interactive dashboards and better customer support. A strong neptune.ai alternative for scaling machine learning operations.Read more
Red Hat OpenShift Data ScienceBetter for enterprise companies. More established, with a larger user base and more reviews. Offers cloud deployment and edge deployment.Read more
Saturn CloudBetter suited for small and medium businesses. More user-friendly with positive reviews on ease of use. Offers cloud deployment, project collaboration, and managed infrastructure. Has more momentum based on website traffic and employee growth. DagsHub alternative and competitor.Read more
5AnalyticsBetter for streamlining machine learning processes within a company. Slightly lower rated on G2. No pricing information available.Read more
AporiaBetter for securing AI-powered chatbots. Focuses on AI reliability and security, including bias detection and data leak prevention. Excellent customer support and user-friendly interface. More established, with significantly more reviews and a higher average rating.Read more
DAGsHub FAQ
What is DAGsHub and what does DAGsHub do?
DAGsHub is a platform for data science teams to manage machine learning projects. It offers tools for experiment tracking, data management, and collaboration, integrating with tools like Git and MLflow. DAGsHub helps teams organize projects, track progress, and improve model reliability.
How does DAGsHub integrate with other tools?
DAGsHub integrates with Git for version control and MLflow for experiment tracking. It acts as a central hub, connecting these tools to streamline data science workflows and enhance collaboration. This integration simplifies project management for data science teams.
What the main competitors of DAGsHub?
Top alternatives to DAGsHub include Neptune.ai for experiment tracking, Red Hat OpenShift Data Science for model deployment, and Saturn Cloud for cloud-based machine learning. SAS Visual Data Mining and Machine Learning is a broader suite for data analysis and model building.
Is DAGsHub legit?
Yes, DAGsHub is a legitimate platform. It's a platform for data science teams to manage their work, offering tools to track experiments, manage data, and collaborate on machine learning projects. While it has received positive ratings, limited user reviews are available.
How much does DAGsHub cost?
DAGsHub's pricing includes a free Contributor plan, a Starter plan at $108/month, a Team plan at $1188/month, and a custom-priced Enterprise plan. The free plan is suitable for non-commercial use, while paid plans cater to organizations and professionals with varying data storage and collaboration needs. A 14-day free trial is also available.
Is DAGsHub customer service good?
There is no information available about DAGsHub's customer service.
Reviewed by
Michal has worked at startups for many years and writes about topics relating to software selection and IT management. As a former consultant for Bain, a business advisory company, he also knows how to understand needs of any business and find solutions to its problems.
Tymon is a seasoned CTO who loves finding the perfect tools for any task. He recently headed up the tech department at Batmaid, a well-known Swiss company, where he managed about 60 software purchases, including CX, HR, Payroll, Marketing automation and various developer tools.