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Quantify your coding - open source plugins for automatic time tracking & insights into your programming. | Haystack analyzes your GitHub data on a team level, giving you “NorthStar” metrics like cycle time, deployment frequency, change failure rate and more to help you improve your teams delivery. |
Fully automatic, with reports via email;Find the time you spend per feature/commit;See time spent in each language;Branch-level stats; File-level stats;Slack integration for team collaboration | Potential issue notifications; Burnout alerts; Trend analysis; Anomaly Detection; Real-time analysis |
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Followers 158 | Followers 17 |
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Codealike is a service that tracks your activity while you code normally. Once you've installed and signed in in your preferred IDE (Visual Studio, Eclipse or Chrome), the plugin will track, process and send the data to our servers so you can visualize it anytime you want to learn how you work and how to improve through trustworthy data.

It is a new data-driven way to truly understand your engineers.It analyzes your codebase from Github, Gitlab, Azure DevOps & Bitbucket to help you bring out the best in your engineers work.

Multi-agent AI code review that catches real bugs. 87% fewer false positives, 3x more issues found. Free for open source.

Zero config DORA metrics and engineering intelligence. SOC 2 ready. Setup in 5 minutes. Track performance, not people.

Analyzes every pull request, highlights risk, finds missing tests, and tracks test debt over time. PR risk and review intelligence, focused on judgment.

Review GitHub PRs and branches for real performance bottlenecks using AI. Identify hot paths, fix inefficiencies, and verify performance improvements iteratively with Everdone CodePerformance

Zest is a Cursor, VS Code & Chrome extension that measures and improves AI-assisted coding productivity by giving real-time coaching, session insights, and automated end-of day standups.

Qeek is an AI-powered codebase intelligence tool that indexes your repositories and lets developers ask natural-language questions to instantly understand flows, dependencies, and current implementation details without relying on outdated docs or tribal knowledge.

Detect Python performance regressions and compare execution traces with lightweight call graph visualization

Developer CLI tool for code quality monitoring. Analyzes git commit patterns, CI pipeline metrics, dependency changes, and deployment signals to detect anomalies. Integrates with GitHub Actions and GitLab CI. Install via pip.