CommunityBridge gives better visibility into open source code

The Linux Foundation has launched CommunityBridge, a platform that aims to empower developers and the individuals and organizations who support them, to advance sustainability, security, and diversity in open source technology. With the help of source{d}, the Linux Foundation will be able to provide the Open Source community with greater visibility into each project codebases making it possible to better understand people, behavior, and technology.

Open source powers more than 80% of the technology we all use every day, yet many developers and critical open source projects don’t have the resources they need to secure, maintain, and advance their code. CommunityBridge is a multi-service tool designed to help address these challenges and drive future innovation by providing a crowdfunding platform for open source projects. The platform includes daily vulnerability and dependency scanning reports and mentorship programs to increase diversity in open source communities and help developers of all levels advance their careers - and much more.

source{d} treats code as a valuable dataset that can be analyzed and presented directly into business intelligence dashboards. Its source{d} Engine enables data-driven observability of the software development life cycle so that enterprises can measure their progress and identify bottlenecks with regard to key digital transformation initiatives. With source{d} Engine capabilities integrated into the CommunityBridge platform, the Linux Foundation empowers open source maintainers and contributors with data to support their decisions.

“The Linux Foundation has done a fantastic job at bringing a diverse ecosystem on to one platform designed to mutualize resources,” said Eiso Kant, co-founder, and CEO of source{d}. “We’re thrilled to collaborate with the Open Source community and surface insights everyone needs to better manage, develop or contribute to their respective project codebases.”
 
As a recent example, source{d} analyzed the Kubernetes project reporting that as it nears 2 million lines of code (including all languages and generated files), the 4-year-old open source project is showing many signs of maturity. The velocity of commits for the core Kubernetes project seemed to be slowing down as the community focus moves to infrastructure testing, cluster federation, Machine Learning, and HPC (High-Performance Computing) workloads management. With just under 16,000 methods, the Kubernetes API also seems to be stabilizing despite its high level of complexity.