Software Alternatives & Startups
Register | Login

GitHub Metrics VS ShadowGit

Compare GitHub Metrics VS ShadowGit and see what are their differences

GitHub Metrics

Customize your profile with various plugins and metrics

GitHub Metrics Landing page
Rating
0 reviews
Alternatives Is it good?
ShadowGit

Your safety net for AI coding

ShadowGit screenshot
Rating
0 reviews
Pricing
Paid $19 / One-off
Alternatives Is it good?
Castmint
Type one line. Get a finished short. sponsored

Which is more popular?

Based on our record, GitHub Metrics seems to be more popular. It has been mentioned 9 times since March 2021.

social mentions
9 vs 0
Developer Tools popularity
86% vs 14%
alternatives listed
127 vs 1

Base details

Website, pricing, platforms and company facts side by side.

GitHub Metrics
ShadowGit
Website github.com shadowgit.com
Pricing โ€”
Paid $19 / One-off Official pricing
Platforms โ€”
MacOS Linux Windows
Company โ€” Startup from Germany ยท 1 - 9 employees ยท 2025
Listed in
Analytics Developer Tools GitHub Project Management Error Tracking +2
Developer Tools Vibe Coding Changelog AI +1

About GitHub Metrics and ShadowGit

In their own words, as submitted to SaaSHub.

GitHub Metrics
ShadowGit

No description of GitHub Metrics yet.

Every change saved. Any version restorable. AI can search what changed to debug faster. Never lose work again. Cut debugging time by 80%. Save 50% on AI tokens. 100% local.

Read more about ShadowGit

Features and specs

What each product offers, as listed by its team.

GitHub Metrics 4 features
ShadowGit 8 features
  • Comprehensive Insights
    GitHub Metrics provides detailed insights into your GitHub activities, including contributions, languages used, and project statistics, enabling a deeper understanding of your coding habits and project progress.
  • Customizable Reports
    The tool offers extensive customization options for reports, allowing users to tailor the data they see according to their specific interests or needs.
  • Visual Representation
    By providing visually appealing charts and graphs, GitHub Metrics makes it easier to interpret complex data and share your GitHub activity highlights on social media or personal websites.
  • Automation
    It automates the generation of metrics, reducing the manual effort required to track and present GitHub activity insights.

Possible disadvantages

  • Complex Setup
    Configuring GitHub Metrics can be complex for users who are not familiar with GitHub Actions or YAML formatting, potentially leading to initial setup delays.
  • Privacy Concerns
    As the tool fetches personal GitHub data, users need to consider privacy implications and decide which metrics they are comfortable sharing publicly.
  • Dependence on GitHub Actions
    Since the tool relies on GitHub Actions, any limitations or issues with GitHub Actions could impact the performance and reliability of GitHub Metrics.
  • Resource Usage
    The generation of metrics might consume GitHub Actions minutes and resources, which could be a concern for users on limited or free GitHub plans.
  • Never lose work
    Every change saved automatically every 15 seconds
  • Instant recovery
    One-click restore when AI breaks code or you need to revert
  • 80% faster debugging
    AI searches your history to find bugs instantly, uses 50% fewer tokens
  • Complete privacy
    Your code never leaves your machine - no cloud, no uploads
  • Works with all AI tools
    Claude, Cursor, Copilot, VS Code - zero configuration
  • Clean AI commits
    Session API lets AI create organized commits, not spam
  • Invisible operation
    Runs in background without interrupting your flow
  • Separate shadow repo
    Your main git repository stays untouched

Analysis

An editorial look at what each product does well and who it suits.

GitHub Metrics
ShadowGit

No analysis of GitHub Metrics yet.

Overall verdict

  • I don't have verified, up-to-date information about ShadowGit (shadowgit.com) to make a reliable quality assessment. I cannot confirm its features, pricing, reputation, or user reviews with confidence, so I'd recommend independently researching current reviews, checking its documentation, and testing it yourself before adopting it for any workflow.

Why this product is good

  • Specific product details for ShadowGit are not reliably available to me
  • I cannot verify claims about its feature set, security practices, or performance
  • No confirmed user reviews or independent benchmarks are available to reference
  • Tool may be niche, new, or infrequently covered in sources I was trained on

Recommended for

  • Users who can verify current product details directly on shadowgit.com
  • Developers willing to test the tool in a sandbox environment before production use
  • Teams who check recent reviews, GitHub discussions, or community forums for firsthand feedback
  • Anyone comfortable evaluating security and privacy implications before integrating a git-related tool

Videos

Walkthroughs and reviews on video.

GitHub Metrics 0 videos + Add
ShadowGit 2 videos + Add

No GitHub Metrics videos yet. You could help us improve this page by suggesting one.

ShadowGit AI Integration

More videos

  • Demo - ShadowGit MCP Integration

Category popularity

How often each product is chosen within a category, 0โ€“100% relative to the other.

Score bands 0โ€“20 21โ€“40 41โ€“50 51โ€“60 61โ€“100
GitHub Metrics
ShadowGit
86% 86%
Developer Tools
14% 14%
0% 0%
Vibe Coding
100% 100%
100% 100%
Analytics
0% 0%
0% 0%
Changelog
100% 100%

Questions & Answers

As answered by people managing GitHub Metrics and ShadowGit.

What makes your product unique?

ShadowGit's answer:

ShadowGit is the only tool where AI assistants can directly search your code history to debug faster while using 50% fewer tokens. Auto-captures every change without touching your main git repo. Built specifically for AI-assisted development.

Which are the primary technologies used for building your product?

ShadowGit's answer:

Electron is the primary technology being used.

Why should a person choose your product over its competitors?

ShadowGit's answer:

ShadowGit is the only tool built specifically for developers using AI. Unlike generic backup tools, your AI can actually search the history to debug faster and use 50% fewer tokens. Separate shadow repo means your main git stays clean. 100% local.

How would you describe the primary audience of your product?

ShadowGit's answer:

AI-Accelerated solo developers that use AI coding assistants daily (Claude, Cursor, Copilot), experienced enough to feel the pain (2-10 years of coding) and that want to move fast, ship often and experiment constantly.

What's the story behind your product?

ShadowGit's answer:

I built ShadowGit after losing 3 hours of work to a bad AI refactor. Started as a personal backup tool, but when I added MCP integration so AI could search the history, debugging time dropped 80%. Had to share it.

User comments

Share your experience with using GitHub Metrics and ShadowGit. For example, how are they different and which one is better?

Log in or Post with

Social recommendations and mentions

Recommendations tracked on public social media and blogs since March 2021.

GitHub Metrics 9 mentions
ShadowGit 0 mentions
  • Automate Your GitHub README with Custom SVG Metrics and GitHub Actions
    This tutorial shows you how to create a fully automated GitHub profile README using GitHub Metrics with custom SVGs and GitHub Actions. - Source: dev.to / over 1 year ago
  • ๐Ÿš€ Create An Attractive GitHub Profile README ๐Ÿ“
    Metrics this will generate a detailed stats infographic based on your GitHub Profile. - Source: dev.to / about 2 years ago
  • GitHub profile of the day: Philippe Massicotte
    Another GitHub profile using lowlighter/metrics with a slightly different setup. - Source: dev.to / about 3 years ago

View more

Tracking ShadowGit since Sep 2025.

Alternatives to GitHub Metrics and ShadowGit

When comparing GitHub Metrics and ShadowGit, you can also consider the following products.

Loading...