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
Features
• open source
• federated learning functionality
• training on distributed datasets
• supports both production and simulation environments
• flexibility for researchers
Pricing Plans
Free
Free Plan• 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
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