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DAGsHub

Powerful data science platform for collaboration, review, experiment tracking, and data version control
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What is DAGsHub?

It is a data science platform for tracking experiments, versioning data, models, and pipelines, using Git. It allows your whole team to compare, reproduce, and contribute to each other's work. It allows your whole team to compare, reproduce, and contribute to each other's work.
DAGsHub is a tool in the Data Science Tools category of a tech stack.

Who uses DAGsHub?

DAGsHub Integrations

GitHub, Git, Jenkins, Amazon S3, and Google Cloud Storage are some of the popular tools that integrate with DAGsHub. Here's a list of all 7 tools that integrate with DAGsHub.

DAGsHub's Features

  • Data versioning
  • Experiment tracking
  • Data science pull requests
  • Comparing experiments
  • Data science review
  • Data browser
  • Data merging
  • Data scientists profiles

DAGsHub Alternatives & Comparisons

What are some alternatives to DAGsHub?
NumPy
Besides its obvious scientific uses, NumPy can also be used as an efficient multi-dimensional container of generic data. Arbitrary data-types can be defined. This allows NumPy to seamlessly and speedily integrate with a wide variety of databases.
Pandas
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more.
SciPy
Python-based ecosystem of open-source software for mathematics, science, and engineering. It contains modules for optimization, linear algebra, integration, interpolation, special functions, FFT, signal and image processing, ODE solvers and other tasks common in science and engineering.
Anaconda
A free and open-source distribution of the Python and R programming languages for scientific computing, that aims to simplify package management and deployment. Package versions are managed by the package management system conda.
Dataform
Dataform helps you manage all data processes in your cloud data warehouse. Publish tables, write data tests and automate complex SQL workflows in a few minutes, so you can spend more time on analytics and less time managing infrastructure.
See all alternatives
Related Comparisons
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DAGsHub's Followers
4 developers follow DAGsHub to keep up with related blogs and decisions.