Launched January 6, 2026
Git-Analytics
Advanced analytics for Git repositories — commits, authors, code churn, lines of code, trends, and visual dashboards.
FreeOpen SourceAnalyticsUI Library231 impressions#1644 of its week
Hey everyone 👋
I've been digging for a good system to visualize and analyze my Git repository. Most tools I tried were either outdated or didn't meet my needs. So guess what? I decided to build my own open-source system to get real insights into my code history!
Introducing git-analytics — a lightweight open-source tool for git analytics, git statistics, git metrics, and git stats.
What works today:
- Visualization of each contributor's commit count
- Charting added vs deleted lines per author
- Breakdown of commits by type (fix, feature, test, docs… you name it)
- Heatmaps for commits by hour of day, day of week, day of month — with drill-down navigation
- Graph of code size changes over time
Git-Analytics is an open-source tool that visualizes and analyzes Git repository history with dashboards and metrics.
- for
- Developers and teams who want private, on-prem insights into their codebase.
- pricing
- open source
- license
- MIT
Key features
6 features of Git-Analytics
- Contributor commit visualization — Shows each author’s commit count in interactive charts.
- Added vs deleted lines per author — Charts code churn by author, highlighting contributions.
- Commit type breakdown — Classifies commits (fix, feature, test, docs, etc.) for deeper analysis.
- Time-based heatmaps — Displays commit activity by hour, day of week, and day of month with drill-down.
- Code size evolution graph — Tracks repository size changes over time.
- Self-hosted deployment — Runs locally with two terminal commands, keeping data private.
Use cases
- Identify the most active contributors and their impact on the codebase
- Detect periods of high churn or large deletions to plan refactoring
- Monitor code growth trends to forecast repository size
- Analyze commit patterns to improve development workflow
Git-Analytics vs alternatives
 Git-Analytics |  Plausible |  PostHog |  Umami |  OpenPanel | |
|---|---|---|---|---|---|
| Best for | Git repository visual analytics | Privacy-friendly web analytics | Product usage tracking | Lightweight web analytics | Open-source web analytics |
| Pricing | Open source | Subscription | Subscription | Free | Free |
| DevHunt upvotes | 0 | 0 | 0 | 0 | 0 |
| Launched | Jan 2026 | — | — | — | — |
- Git-Analytics vs Plausible: Focuses on web traffic analytics, not Git repository metrics
- Git-Analytics vs PostHog: Product analytics for user events, not source-code history
- Git-Analytics vs Umami: Simple web analytics, unrelated to Git data
- Git-Analytics vs OpenPanel: General product/web analytics platform, not Git-specific
Git-Analytics FAQ
Is Git-Analytics free to use?+
Yes, it is open source and can be used without cost.
Can I run Git-Analytics on my own server?+
Yes, it is self-hosted and runs entirely on your machine.
What commands are needed to deploy?+
Two terminal commands are sufficient to install and start the service.
Does my code leave the machine during analysis?+
No, all analysis is performed locally; your repository never leaves your control.
Summarized by DevHunt from git-analytics.com · Oct 5, 2026. Details may change; check the official site.
.png?width=64)
