Project Services

The Sandbox hosting stage is specific to projects that intend to join LF AI & Data Incubation in the future and wish to lay the foundations for that. Such projects for instance aim to extend one or more LF AI & Data projects with functionality or interoperability libraries, or they generally fit the LF AI & Data mission and provide the potential for a novel approach to existing functional areas (or are an attempt to meet an unfulfilled need).

Requirements to apply for Sandbox stage:

• Have an open and documented technical governance.
• Have an OSI-approved license.
• Have its own GitHub organization.
• Have achieved and maintained the OpenSSF Best Practices Passing Badge.
• Submit a completed Project Contribution Proposal via a GitHub pull request.
• Identify who will be handling security vulnerabilities reporting.
• Project founders approve the Technical Charter and execute the Project Contribution Agreement.
• Receive the affirmative vote of the TAC.

To be accepted into the Incubation stage, a project must meet all the requirements of the Sandbox stage plus:

• Have at least two organizations actively contributing to the project.
• Have a defined Technical Steering Committee (TSC) with a chairperson identified.
• Have a sponsor who is an existing LF AI & Data member. Alternatively, a new organization would join LF AI & Data and sponsor the project’s incubation application.
• Have at least 300 stars on GitHub; this is an existing requirement for a project to be listed on the LF AI & Data landscape.
• Have achieved and maintained the OpenSSF Best Practices Silver Badge​.
• In addition to the affirmative vote of the TAC, incubation stage projects also require the affirmative vote of the Governing Board.

To be accepted into the Graduation stage, a project must meet the Incubation stage requirements plus:

• Have a healthy number of code contributions coming from at least five organizations.
• Have reached a minimum of 1000 stars on GitHub.
• Have achieved and maintained the OpenSSF Best Practices Gold Badge.
• Have demonstrated a substantial ongoing flow of commits and merged contributions for the past 12 months.
• Have completed at least one collaboration with another LF AI & Data hosted project
• Received the affirmative vote of two-thirds of the TAC and the affirmative vote of the Governing Board.
• Have a technical lead appointed for representation of the project on the LF AI & Data Technical Advisory Council.

Since these metrics can vary depending on the type, scope, and size of a project, the TAC has final judgment over the level of activity that is adequate to meet these criteria.