The Power of Open Source Metrics and Analytics for New Maintainers

Understanding what's happening with your project and contributors as it grows can be challenging for new maintainers. Think of open source metrics and analytics as a compass and map in your maintainer journey. Understanding metrics for open source projects and your own project can help you set goals, identify project needs, and understand your community. This chapter will guide you through understanding, leveraging, and making decisions based on these insights to create a thriving open source project.

Understanding Types of Open Source Metrics

• Code Metrics: Code metrics provide a quantitative measure of the codebase's state, focusing on aspects that impact its quality, maintainability, and scalability.
• Community Metrics: Community metrics shed light on the human element of the project, highlighting the growth, engagement, and overall health of the surrounding community.
• Project Health Metrics: Project health metrics provide insights into the project's responsiveness, efficiency, and overall well-being.

Taking a holistic approach to open source metrics ensures you're not overly focused on one type to the detriment of others. For example, while high code quality is important, it should be balanced with strong community engagement to ensure a sustainable project future.

Diverse metrics offer a more complete picture of a project's health and potential areas for growth or improvement. This could include balancing code metrics with community and project health metrics to ensure the project is not only technically sound but also welcoming and engaging for new contributors. It's about finding the right mix that supports your project's goals and values, fostering an environment where both the codebase and the community thrive together.

Setting Project Goals

Setting clear and achievable goals can help you with project management. Your goals might vary and include improving code quality, expanding the community, or streamlining issue resolution. When you set specific goals, you're better able to make decisions about prioritization and using resources (don't forget, time is a resource!).

Remember, goals for your open source project are not final. They will evolve as the project grows. Metrics can inform these changes, providing insights that reveal new opportunities or challenges. For instance, if a project sets an initial goal to increase contributor numbers but later finds that engagement or quality is suffering, it might shift focus towards improving onboarding processes or documentation.

Maintainers should regularly review their goals in the context of the project's current metrics and broader trajectory. This adaptability ensures the project remains aligned with its community's needs and your vision as a maintainer.

Choose metrics that align with your project's priorities. For example, if community growth is the goal, focus on new contributor rates and engagement levels. Below are some examples of metrics you may want to track.

Community Growth Goals

• New Contributor Rates: Tracking new contributors can be a key indicator of your project's appeal and growth potential.
• Active Contributors: The count of contributors who have made at least one commit, pull request, or comment in the last month.
• Community Engagement: Engagement metrics might include the number of comments on issues and pull requests, PR reviews, or the number of members in your community space (Slack, Discord, etc.).
• Retention Rate: The percentage of new contributors who continue contributing over time, indicating how well the project retains its community members.

Code Quality Goals

• Documentation Coverage: Having documentation coverage ensures your project is accessible to newcomers and reduces the entry barrier for contributors.
• Commit Frequency: Knowing the commit frequency can help you understand the project's development activity over time and can help you identify trends in contribution, potential stagnation, or support needs.

Project Health Goals

• Issue Velocity: How quickly issues are closed. This can reflect how quickly the concerns are acknowledged, an important aspect of project responsiveness.
• Pull Request Velocity: How fast pull requests are closed. This can help you see how efficiently problems are solved.
• Benchmarking: Use GitHub Insights and contribution tracking tools to establish current metrics as benchmarks, setting realistic targets for improvement.
• Timeline: Set a clear timeline for achieving these goals, creating a sense of urgency and momentum.

Understanding and Interpreting Open Source Metrics

Understanding and interpreting data helps you understand and share the story behind the numbers. Some ways to do this include:

• Trend Analysis: Look for patterns over time, such as cyclical increases in contribution activity, to plan for future resource allocation.
• Anomaly Detection: Identify unexpected spikes or drops in metrics and investigate potential causes, such as new feature releases or community events.
• Comparative Analysis: Compare metrics against similar projects to gauge your project's performance in the broader open source ecosystem.

Making Data-Driven Decisions

Making data-driven decisions involves using the insights you've gathered to guide your project's direction. For example, if you see that your project has a high number of new contributors but a low retention rate, you might decide to focus on improving the onboarding process for new contributors.

A great way to make data-driven decisions about your project is to combine GitHub's built-in repository data with tools that help you understand contributor activity across projects. This gives you a current view of project health without depending on deprecated third-party dashboards.

Using GitHub Insights for Your Project

GitHub provides several built-in views that can help you understand project activity. You can start from your repository's Insights tab and review the sections that match your goals.

Reviewing Repository Activity

Use Pulse to see a summary of recent repository activity. Pulse can help you review:

• open and merged pull requests
• open and closed issues
• commit activity from contributors during the selected time period

This is useful when you want a quick view of whether your project is moving steadily, whether work is waiting for review, or whether contributors need more support.

Reviewing Contributor Activity

Use the contributors graph to see who has contributed commits to your repository. This can help you identify active contributors, understand contribution trends, and notice when regular contributors become less active.

For community health, combine this with your issue and pull request history. Some contributors add value through reviews, documentation, issue triage, design, community support, or testing, so commit data should not be the only signal you use.

Reviewing Traffic

If you have push access to a repository, use repository traffic to understand how people discover and use your project. Traffic data can help you review:

• repository views
• unique visitors
• clones
• referring sites
• popular content

This is helpful when you want to understand whether documentation, releases, blog posts, or community events are bringing people to your project.

Tracking Contributors with Contributor.info

Contributor.info can help you explore contributor activity across open source projects. It is useful when you want more context about contributors beyond a single repository view.

You can use Contributor.info to:

• review contributor activity across repositories
• understand which projects a contributor is active in
• identify people who regularly contribute to similar projects
• support maintainer recruitment and contributor recognition

When using contributor tracking tools, be thoughtful about how you interpret the data. Activity levels can help you find patterns, but they do not tell the full story of a contributor's availability, interests, or impact. Use the data as a starting point for respectful conversations, not as the only basis for decisions.

Building a Lightweight Metrics Routine

You do not need a complex dashboard to start making data-driven decisions. A simple monthly routine can help you understand what is changing and where your project needs attention.

1. Review GitHub Pulse for recent pull request, issue, and commit activity.
2. Check the contributors graph for new and returning contributors.
3. Review open issues and pull requests to identify blockers or unanswered questions.
4. Look at repository traffic if you want to understand discovery and documentation usage.
5. Use Contributor.info when you need more context about contributor activity across projects.
6. Write down the main trend, the likely cause, and one action you will take next.

In terms of tracking metrics to understand your contributors, here are some things you could look at:

• Engaged contributors: Keep tabs on contributors actively interacting with your repository.
• Potential maintainers: Notice contributors who consistently provide helpful pull requests, reviews, issue triage, documentation, or community support.
• Returning contributors: Watch for contributors who come back over time, because repeat contribution is a strong sign that your project is approachable.
• Inactive contributors: Notice when contributors reduce their engagement so you can avoid overloading them or relying on unavailable help.

Leveraging Metrics for Project Success

Using current metrics and analytics tools gives you the knowledge to make informed decisions and foster a culture of transparency and continuous improvement. By setting clear goals, analyzing project data, and engaging with your community, you create a foundation for sustained growth and success. Remember, the open source journey is a marathon, not a sprint. With consistent review habits, you can guide your project toward achieving its full potential.

It's time to put what you've learned into practice! Let's move on to the next chapter.