gitstats vs gitinspector vs git-quick-stats: Best Git Repository Analytics 2026

Every git repository contains a rich history of who wrote what, when changes were made, how code evolved, and which contributors drove the project forward. But extracting actionable insights from thousands of commits is nearly impossible by hand. This is where git repository analytics tools come in — they parse your commit history and generate readable reports, charts, and statistics that reveal patterns in your development workflow.

This guide compares the three most widely used open-source git analytics tools in 2026: gitstats, gitinspector, and git-quick-stats. Each takes a different approach to repository analysis, from full HTML dashboards with graphs to terminal-based one-liners. We will cover installation, deployment, output formats, and help you pick the right tool for your needs.

For teams managing multiple repositories, these tools pair well with our self-hosted git forge comparison (Gitea vs Forgejo vs GitLab) and developer analytics platforms guide. If you also need to audit code changes for secrets or compliance, see our secrets scanning guide (Gitleaks vs TruffleHog).

Why Analyze Git Repository History

Repository analytics serve several practical purposes beyond satisfying curiosity:

• Contributor recognition — identify your most active contributors, measure code ownership by file, and understand who maintains which parts of the codebase
• Project health assessment — track commit frequency over time, spot declining activity before it becomes a problem, and measure response times to issues
• Release preparation — generate changelogs, count commits per release, and quantify the scope of changes between versions
• Onboarding new developers — give newcomers a visual overview of project history, active areas, and key contributors
• Compliance and auditing — document who changed what and when for regulatory requirements, license audits, or post-incident reviews
• Portfolio and reporting — create shareable HTML reports for stakeholders, investors, or open-source community dashboards

While enterprise platforms like LinearB, Waydev, or GitHub Insights provide polished analytics at a cost, the open-source tools covered here run on your own infrastructure for free, process data locally, and never send your repository metadata to third-party servers.

gitstats — Visual HTML Reports with Gnuplot

gitstats is the oldest and most established git analytics tool in this comparison. It generates comprehensive HTML reports with embedded charts, graphs, and tables covering every aspect of repository history.

GitHub Stars: 1,678 | Language: Python | License: Public Domain | Last Updated: March 2024

What gitstats Generates

Running gitstats against a repository produces a directory of interconnected HTML pages, including:

• General overview — total commits, files, lines of code, authors, time span
• Activity heatmap — hourly and daily commit distribution visualized as heatmaps
• Author statistics — commits, lines added/removed, and contribution percentage per author
• File analysis — largest files, most changed files, file type distribution
• Timeline graphs — commits per month/year with cumulative author contribution curves
• Tag and branch analysis — commits per tag, branch activity over time

The reports use Gnuplot to generate PNG charts, creating a self-contained static website that can be served by any web server or opened directly in a browser.

Installing gitstats

1
2
3
4
5
6
7
8

# Ubuntu/Debian
sudo apt install gitstats gnuplot

# Fedora/RHEL
sudo dnf install gitstats gnuplot

# Arch Linux
sudo pacman -S gitstats gnuplot

Running gitstats

1
2
3
4
5

# Basic usage: generate stats for a repo into an output directory
gitstats /path/to/repo /path/to/output

# Example
gitstats ~/projects/my-app ./stats-output/

The output directory will contain index.html as the main entry point, along with sub-pages for authors, files, dates, and tags.

Docker Deployment for gitstats

Since gitstats does not provide an official Dockerfile, you can build one easily:

 1
 2
 3
 4
 5
 6
 7
 8
 9
10
11
12

FROM python:3.11-slim

RUN apt-get update && apt-get install -y \
    git \
    gnuplot-nox \
    gitstats \
    && rm -rf /var/lib/apt/lists/*

WORKDIR /data
VOLUME ["/data/repo", "/data/output"]

ENTRYPOINT ["gitstats"]

Build and run:

1
2
3
4
5
6

docker build -t gitstats-docker .

docker run --rm \
  -v /path/to/repo:/data/repo:ro \
  -v ./output:/data/output \
  gitstats-docker /data/repo /data/output

Serve the results with a simple HTTP server:

1
2
3

cd output
python3 -m http.server 8080
# Open http://localhost:8080

Pros and Cons

gitinspector — Deep Statistical Analysis with Blame Data

gitinspector goes beyond simple commit counting. It performs statistical analysis of repository history, including blame-based ownership tracking, file-type-aware contribution breakdowns, and timeline reporting.

GitHub Stars: 2,507 | Language: Python | License: GPL-3.0 | Last Updated: April 2024

Key Features

• Blame analysis — tracks file ownership at the line level, not just commit count
• File type breakdown — separates contributions by programming language
• Timeline with granularity — configurable intervals (daily, weekly, monthly)
• Gravatar integration — shows author photos in HTML reports
• Multiple output formats — HTML, XML, JSON, and plain text
• Filtering — exclude generated files, vendor directories, or specific file types

Installing gitinspector

1
2
3
4
5
6
7

# Via pip (recommended)
pip install gitinspector

# Or clone the repository
git clone https://github.com/ejwa/gitinspector.git
cd gitinspector
python setup.py install

Running gitinspector

 1
 2
 3
 4
 5
 6
 7
 8
 9
10
11

# Basic HTML report
gitinspector -f py,js,html --format=html /path/to/repo > report.html

# JSON output for programmatic processing
gitinspector -f py,js --format=json /path/to/repo > stats.json

# Full analysis with all file types and blame data
gitinspector -f py,js,go,rs,yaml --grading -w /path/to/repo

# Exclude generated and vendor files
gitinspector -f py --exclude="*generated*,*vendor*,*node_modules*" /path/to/repo

Docker Deployment for gitinspector

 1
 2
 3
 4
 5
 6
 7
 8
 9
10
11
12

FROM python:3.11-slim

RUN apt-get update && apt-get install -y git \
    && rm -rf /var/lib/apt/lists/*

RUN pip install gitinspector

WORKDIR /data
VOLUME ["/data/repo"]

ENTRYPOINT ["gitinspector"]
CMD ["--format=html", "."]

Build and run:

1
2
3
4
5
6

docker build -t gitinspector-docker .

docker run --rm \
  -v /path/to/repo:/data/repo:ro \
  gitinspector-docker \
  -f py,js,go,html --format=html /data/repo

Pros and Cons

git-quick-stats — Terminal-Based Instant Overview

git-quick-stats is a bash script that delivers repository statistics directly in your terminal — no HTML generation, no dependencies beyond git and bash. With nearly 7,000 stars, it is the most popular tool in this comparison.

GitHub Stars: 6,967 | Language: Shell | License: MIT | Last Updated: April 2026

Key Features

• Instant terminal output — no file generation, results appear immediately
• 20+ statistic views — commit activity by day, author rankings, file changes, and more
• Interactive TUI — menu-driven interface for browsing different views
• Zero dependencies — only requires git and bash
• Highly performant — uses git’s native plumbing commands for speed
• Portable — works on Linux, macOS, and WSL

Installing git-quick-stats

 1
 2
 3
 4
 5
 6
 7
 8
 9
10
11
12
13

# Clone and install
git clone https://github.com/git-quick-stats/git-quick-stats.git
cd git-quick-stats
sudo make install

# Or use Homebrew (macOS/Linux)
brew install git-quick-stats

# Or download the script directly
curl -o git-quick-stats \
  https://raw.githubusercontent.com/git-quick-stats/git-quick-stats/master/git-quick-stats
chmod +x git-quick-stats
sudo mv git-quick-stats /usr/local/bin/

Using git-quick-stats

 1
 2
 3
 4
 5
 6
 7
 8
 9
10
11
12
13
14

# Interactive TUI mode (recommended for first-time users)
git-quick-stats

# Direct view: commit activity by author
git-quick-stats --author

# Direct view: commits per day of week
git-quick-stats --day

# Direct view: file change statistics
git-quick-stats --files

# Time range filter
git-quick-stats --since="2025-01-01" --until="2025-12-31"

Docker Deployment for git-quick-stats

git-quick-stats includes an official Dockerfile in its repository:

 1
 2
 3
 4
 5
 6
 7
 8
 9
10
11
12
13
14

FROM alpine:latest

RUN apk add --no-cache git bash coreutils

RUN apk add --no-cache make

RUN git clone https://github.com/git-quick-stats/git-quick-stats.git /opt/git-quick-stats && \
    cd /opt/git-quick-stats && \
    make install

WORKDIR /repo
VOLUME ["/repo"]

ENTRYPOINT ["git-quick-stats"]

Build and run:

1
2
3
4
5

docker build -t git-quick-stats-docker .

docker run --rm \
  -v /path/to/repo:/repo:ro \
  git-quick-stats-docker

For CI/CD integration, you can capture terminal output to a file:

1
2
3
4

docker run --rm \
  -v /path/to/repo:/repo:ro \
  -v ./reports:/reports \
  git-quick-stats-docker --author > /reports/author-stats.txt

Pros and Cons

Feature Comparison Table

Choosing the Right Tool

The best choice depends on your specific use case:

Choose gitstats if: You need polished, shareable HTML reports with charts for stakeholders, project documentation, or community dashboards. The visual output is the most comprehensive of the three tools.

Choose gitinspector if: You need deep statistical analysis including blame-based ownership tracking, or you need machine-readable output (JSON/XML) for integration into other tools and dashboards. It is the most feature-rich option for technical analysis.

Choose git-quick-stats if: You want instant results in the terminal without any setup overhead. It is ideal for developers who want a quick overview before diving into code, or for CI/CD scripts that need to capture basic metrics. Its MIT license and active maintenance make it the safest long-term bet.

Advanced: Combining Tools for Complete Coverage

For teams that need both visual reports and deep analysis, combining tools provides the best coverage:

 1
 2
 3
 4
 5
 6
 7
 8
 9
10
11
12
13
14
15
16
17
18

#!/bin/bash
# generate-repo-report.sh
REPO_DIR="/path/to/repo"
OUTPUT_DIR="./reports"

mkdir -p "$OUTPUT_DIR"

# 1. Quick terminal check (interactive review)
cd "$REPO_DIR" && git-quick-stats

# 2. HTML report for stakeholders
gitstats "$REPO_DIR" "$OUTPUT_DIR/gitstats"

# 3. JSON data for dashboards
gitinspector -f py,js,go --format=json "$REPO_DIR" > "$OUTPUT_DIR/inspector.json"

# Serve results
cd "$OUTPUT_DIR" && python3 -m http.server 8080

This script produces terminal output for quick review, a full HTML report for sharing, and structured JSON data that can feed into Grafana or custom dashboards.

FAQ

What is the difference between gitstats and gitinspector?

gitstats generates visual HTML reports with Gnuplot charts (heatmaps, timelines, author contribution graphs), while gitinspector focuses on deep statistical analysis including blame-based ownership tracking and file-type-aware contribution breakdowns. gitstats is better for shareable reports; gitinspector is better for technical analysis and CI/CD integration.

Can these tools work with bare git repositories?

Yes, all three tools can analyze bare repositories (created with git init --bare). You simply point the tool to the bare repository path instead of a working directory. This is useful for running analytics on central repositories on your server without needing a checked-out working copy.

How do these tools compare to GitHub Insights or GitLab Analytics?

Commercial platform analytics are convenient but limited to repositories hosted on that specific platform. Self-hosted git analytics tools work with any git repository regardless of where it is hosted — GitHub, GitLab, Gitea, or local filesystem. They also keep all data on your infrastructure, avoiding third-party data collection.

Can I run git analytics in a CI/CD pipeline?

Yes. gitinspector’s JSON output format is particularly well-suited for CI/CD integration. You can run it as a pipeline step and capture metrics to track repository health trends over time. git-quick-stats can also be scripted in CI to produce plain-text summaries attached to build artifacts.

Which tool is best for large repositories?

git-quick-stats is generally the fastest on large repositories because it uses git’s native plumbing commands and avoids Python overhead. For repositories with 100,000+ commits, gitstats and gitinspector may take several minutes to complete. If you need speed on large repos, git-quick-stats is the best choice.

Are there any privacy concerns with these tools?

No — all three tools run entirely on your local machine. They read your git repository data, process it locally, and never transmit anything to external servers. This makes them safe for analyzing proprietary or sensitive repositories where you cannot share metadata with SaaS platforms.