The analytics platform for open source
MLcollab LLC builds comprehensive analytics by collecting contribution data across repositories. This helps analyze contribution patterns, collaboration dynamics, and community engagement trends—and strengthens cooperation with developers worldwide—to improve recognition systems and ecosystem health.
What we analyze
Contribution patterns
Analyze how and when people contribute across projects. Understand commit frequency, PR activity, code review patterns, and contribution distribution. Surface insights that help projects recognize contributors and optimize workflows.
Collaboration dynamics
Map who works together and how efficiently. Identify cross-project contributor flows, collaboration networks, and team structures. Understand coordination patterns that drive successful open source projects.
Community engagement trends
Track growth, health, and participation over time. Monitor project vitality, contributor retention, and engagement metrics. Spot trends early and make data-informed decisions about community strategy.
Better tools and insights
The output of our analytics is designed to benefit the entire open source community: improved recognition systems, clearer visibility into ecosystem health, and data-informed decisions for projects and maintainers. Your participation helps create these tools.