Avoid Duplication of Efforts and Misalignment of Priorities​

Team collaboration is essential for leveraging expertise, sharing knowledge, and maintaining organized data science workflows.​

Version Control and Reproducibility

Accurately reproduce experiments and validate analyses.

Documentation and Sharing

Centralize code collaboration, explanations, and visualizations.

Environment Management

Analyze and experiment in a consistent and reproducible environment.​

Data Sharing and Security​

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A Unified Platform to Accelerate Every AI Journey

Streamline your AI with open source through a single platform designed for efficiency, security, governance, and compliance.

Secure Governance

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Trusted Distribution

Thousands of vetted Python packages, complete with dependency management and security controls

Actionable Insights

Comprehensive analytics on package usage, team collaboration, and resource utilization to maximize investment

Additional Resources

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Why Data Scientists Should Be Excited About Python in Excel

Python in Excel creates a common working platform for data scientists and spreadsheet users, dramatically streamlining the collaboration process

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How to set up collaboration on projects

Workbench tracks all changes to a project and lets you know when files have been updated.

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