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Open Source Software Insights - Analysis, Comparison, Trends, Rankings of Open Source Software. Follow us: https://twitter.com/ossinsight

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Open Source Software Insight!

OSS Insight analyze billions of GitHub events and get insights from them, also provide a set of tool which can analyze a single repo, compare any two open source software hosted on GitHub.

Feature 1: Preanalysis of some famouse fields of technology 👁️

Deep Insight

GitHub Collections Analysis

If you want to analyze more, please contact us ✉️

How to add collections

👏 We welcome your contributions here! You can add a collection on our website by submitting PRs. Please create a .yml file under the collections file path.

Here is a file template provides guidance on the information you need to include.

  • File Name

<collection_id>.<collection_name>.yml, For example: 10013.game-engine.yml

💡 Tips: Please use 100XX as your collection's id,and it should be +1 after the latest submit in here.

  • Content
id: <collection_id>
name: <collection_name>
items:
  - <repo_name_1>
  - <repo_name_2>

Looks forward to your PRs!

Feature 2: Analyze Single Repo

  • Basic:
    • star, fork, issues, commits, pull requests, contributors, programming languages, lines of code modified
    • Historical Trends of these metrics
    • Time Cost of issues, pull requests
  • Advanced:
    • Geographical Distribution of stargazers, issue creators, pull requests creators
    • Company Distribution of stargazers, issue creators, pull requests creators

Examples:

Feature 3: Compare Projects 🔨

Compare repo metrics metioned above in Single Repo Analysis

Examples:

Development

# clone the code by:
git clone https://github.com/pingcap/ossinsight.git

# install npm packages
cd ossinsight/;
npm install;

# start the server:
npm run start;

# then visit
open http://localhost:3000

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Open Source Software Insights - Analysis, Comparison, Trends, Rankings of Open Source Software. Follow us: https://twitter.com/ossinsight

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  • TypeScript 56.4%
  • HTML 11.7%
  • JavaScript 11.5%
  • Ruby 9.8%
  • Lua 6.9%
  • CSS 2.4%
  • Other 1.3%