Blog

Gigantum – a simple way to create and share reproducible data science and research

Today, we present Gigantum, an open source platform for creating and collaborating on computational and analytic work, complete with:

  • Automated, high-resolution versioning of code, data and environment for reproducibility and rollback
  • Work and version history illustrated in a browsable activity feed
  • Streamlined environment management with customization via Docker snippets
  • One-click transfer between laptop and cloud for easy sharing
  • Seamless integration with development environments such as JupyterLab
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Topics: Data Science, Software

Extending Git Commit Metadata In Gigantum

Posted by Dean Kleissas - Co-founder and CTO at Gigantum on Jul 20, 2018 12:27:00 PM

At Gigantum, we are building an open-source tool for developing, executing, and sharing data science projects that automates the creation of versioned and containerized code. This way your work is always accessible, reproducible, and transparent. Our ultimate goal is to make science and data science more efficient and reproducible, and we want people to directly access and build on each other’s work without all of the technical hassles. You can learn more about Gigantum, try the Client in the cloud, or download and install it locally at our website: https://gigantum.com

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Topics: Open Science, Git, Software