
DAGsHub Review: Is It The Right Data Science and Machine Learning Platforms For Your Team?
Best for SMB teams · Mid-market · Enterprise
Free Plan Available
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Starts from $9 / month when yearly, also offers free forever plan
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What is DAGsHub?
DagsHub is a collaborative platform designed specifically for data science and machine learning projects. It combines version control, data management, and experiment tracking to help teams streamline their workflows and enhance collaboration. Users can easily manage datasets, track changes, and share insights within a user-friendly interface. DagsHub supports integration with popular tools and frameworks, making it easy for data scientists and engineers to work together efficiently. By fostering collaboration and providing essential tools, DagsHub empowers organizations to accelerate their AI and data science initiatives.
Pricing
Starts from $9 / month when yearly
Best For
Suited for solo users, small teams, SMBs, and enterprise
Security & Compliance
Data residency:Global
DAGsHub Software Demo
DAGsHub was reviewed internally using user feedback, in-house testing, and market research to assess its performance, reliability, and user experience. Learn how we review products and our evaluation process.
Who should consider DAGsHub
- Team types
- Large Enterprises, Medium Business
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What is the pricing of DAGsHub?
DAGsHub Pricing Plans
Contributor
Free
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
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Starter
$11
/month
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
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Team
$119
/month
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
Show more +
Enterprise
Custom
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
Show more +
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What are the features of DAGsHub?
People can collaborate more easily with the help of collaboration tools. The goal of a collaboration tool is to help a group of two or more…
Data integration is an important feature in modern software that allows businesses to combine data from multiple sources. It is the process…
Machine learning is a powerful technology that allows computers to learn and improve from data without being explicitly programmed. This inn…
Version control, often known as source control, tracks and manages changes to digital asset management software code. Version control system…
DAGsHub security and data handling
Key compliance certifications and security features for IT and security teams evaluating DAGsHub.
Certifications
Developer & data
DAGsHub Support Options
Frequently Asked Questions About DAGsHub
Common questions buyers ask before choosing DAGsHub.
DAGsHub is a Data Science and Machine Learning Platforms. DAGsHub offers Version Control, Collaboration Tools, Machine Learning and many more functionalities.
Some top alternatives to DAGsHub includes IntelliBrush, Mindkosh AI, Gigasheet, TrainingData.io and Diffgram.
DAGsHub offers Subscription, Freemium, Quotation Based pricing models
The starting price of DAGsHub is $9/month when yearly
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About the reviewer
Rajat Gupta is the founder of Spotsaas. Over the past two years, he has reviewed 2,000+ tools across CRM, HR, AI, and finance — applying hands-on product research and a background in commerce and the CFA program to evaluate software through a business and ROI lens. His goal: help teams make software decisions they won't regret.
Disclaimer: This research has been collated from a variety of authoritative sources. We welcome your feedback at [email protected].















