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Substra

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About

Substra is an open-source federated learning software designed to enable the training and validation of machine learning models on distributed datasets. Its flexible Python interface and web application allows users to run federated learning training at scale, making it particularly suitable for production environments such as hospitals and biotech companies. Substra also supports single-machine usage for FL simulations and debugging code. It is developed by Owkin and hosted by the Linux Foundation for AI and Data.

Platform

Keywords

machine learning data privacy open source healthcare federated learning

Task

federated learning

Features

• open source

• federated learning functionality

• training on distributed datasets

• supports both production and simulation environments

• flexibility for researchers

Pricing Plans

Free

• Unlimited public/private repositories

• Automatic security and version updates

• 2000 CI/CD minutes/month

• 500MB of Packages storage

• Issues & Projects

• Community support

Team

USD4.00 / per user/month

• Everything included in Free, plus access to GitHub Codespaces

• Protected branches

• Multiple reviewers in pull requests

• Draft pull requests

• Code owners

• Required reviewers

• Pages and Wikis

• 3000 CI/CD minutes/month

• 2GB of Packages storage

• Web-based support

Enterprise

USD21.00 / per user/month

• Everything included in Team, plus Enterprise Managed Users

• User provisioning through SCIM

• Enterprise Account management

• Environment protection rules

• Repository rules

• Audit Log API

• SOC1 & SOC2 reports

• FedRAMP Tailored ATO

• SAML Single Sign-On

• Advanced auditing

• GitHub Connect

• 50000 CI/CD minutes/month

• 50GB of Packages storage

Social Media

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