CHAOSS
CHAOSS (Community Health Analytics Open Source Software) is an open-source project under the Linux Foundation that defines metrics and provides tools for measuring open source community health and sustainability (open source analytics / project governance).
- Standardized metrics definitions for open source community health and sustainability (governance / analytics)
- Software toolkits for collecting, visualizing, and analyzing community metrics from development platforms (observability / analytics)
- Methodologies and working groups for metric design, validation, and implementation (governance / collaboration frameworks)
- Focus on risk, value, and engagement indicators for open source program offices and ecosystem stakeholders (open source program management)
- Integration of metrics into decision-making for project stewardship, contributor engagement, and sustainability assessments (project portfolio management)
More About CHAOSS
CHAOSS (Community Health Analytics Open Source Software) is a project hosted by the Linux Foundation that focuses on defining metrics, methods, and tooling for measuring the health and sustainability of open source software communities (open source analytics / project governance). The project targets the problem space of how organizations, open source program offices, and project maintainers assess the condition and evolution of the communities on which their software supply chains and products depend.
The core of CHAOSS is a catalog of openly developed metrics and metric models (analytics frameworks) that describe aspects of community health such as contributor activity, issue and review responsiveness, collaboration patterns, diversity and inclusion, risk, and value (governance / measurement). These metrics are organized into topic areas and working groups that document definitions, data sources, and usage considerations in a form that can be adopted by projects, foundations, and enterprises.
CHAOSS also provides and stewards software tools (observability / analytics tooling) that implement or support these metrics. These tools collect and analyze data from platforms such as Git-based code forges, issue trackers, communication channels, and other collaboration systems commonly used in open source development. They enable dashboards, visualizations, and automated reporting that map to CHAOSS-defined metrics, allowing organizations to operationalize community health monitoring. The tools are designed to be extensible, allowing integration with various data sources and enterprise reporting environments.
In enterprise and institutional environments, CHAOSS metrics are used by open source program offices, compliance and risk teams, and engineering management to monitor the projects they consume or sponsor (open source program management). Use cases include assessing dependency project vitality, tracking contributor engagement, informing project selection and investment decisions, and reporting on the status of strategic open source initiatives. The standardized metric definitions support consistent reporting across portfolios and enable comparison over time and across projects.
Architecturally, CHAOSS materials and tools align with general analytics and observability patterns: data ingestion from development and communication platforms, transformation into metric-oriented data models, and presentation through dashboards and reports (analytics / BI integration). The project’s work products are interoperable with broader open source governance and compliance workflows because they are published under open licenses and designed to plug into existing analytics stacks and organizational processes.
Within a technical directory, CHAOSS fits in categories such as open source program management, analytics and observability for software development, and project governance tooling. It provides a structured foundation for organizations that need reproducible, transparent, and community-vetted ways to quantify and monitor the health of the open source communities on which they depend.