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OSGraph (Open Source Graph) is an open-source graph-based analytics tool that leverages the comprehensive graph of GitHub open-source data to provide insights into developer behavior and project community ecosystems. It offers developers, project owners, DevRel advocate, and community operators a clear and intuitive view of open-source data, helping you and your project to create a personalized open-source business card, find compatible development partners, and unearth deep community value.
Startup and test on local machine：OSGraph Development Document
The current product defaults to offering 6 open-source graphs for everyone to experience, which include 3 project-type graphs (Contributions, Ecosystem, Community) and 3 developer-type graphs (Activities, Partners, Interests).
Discover core project contributors: Identify core contributors based on project development activities (Issues, PRs, Commits, CRs, etc.).
Q: Who are the people who have coded for the Apache Spark project?
A: Choose "Project Contribution Graph" - Search for spark - Select apache/spark. You would see core contributors such as HyukjinKwon and dongjoon-hyun, and you might accidentally spot two conspicuous robot accounts, AmplabJenkins and SparkQA, which only participate in CodeReview.
Insight into project ecosystem partners: Extract inter-project development activities, organizations, and other related information to construct the core ecosystem relationships of the project.
Q: What does the surrounding ecosystem of the recently popular open-source large model Llama3 look like?
A: Choose "Project Ecosystem Graph" - Search for llama3 - Select meta-llama3/llama3. You would notice renowned AI projects such as pytorch, tensorflow, and transformers, as well as llama.cpp which has hit tech headlines. A surprising discovery is that ray has quite a few common developers with llama3, which could be worth a deeper investigation.
Analyze the distribution of the project community: Extract core developers' community distribution based on project development activities and developer organizations.
Q: What is the current state of the community after many years of development of the big data engine Flink?
A: Choose "Project Community Graph" - Search for flink - Select apache/flink. You would observe that the main followers of the project come from China, the US, and Germany, and that the Alibaba organization is a mainstay in code contributions.
Showcasing individual open-source contributions: Find core projects participated in based on developer development activities (Issues, PRs, Commits, CRs, etc.).
Q: What open-source projects has Linus Torvalds been involved in recently?
A: Choose "Developer Activity Graph" - Search for torvalds. As expected, the linux project is Torvalds' main focus, but he's also been involved in llvm, mody, libgit2, and has made substantial contributions to the "subsurface", a dive log management tool, showcasing his wide range of hobbies.
Finding open-source partners: Find other developers in the open-source community who collaborate closely with you.
Q: I want to know if there are people in the open-source community who share my passion?
A: Choose "Open-source Partner Graph" - Search for my ID. I'm shocked that so many strangers have followed the same projects as me – there could be new friends worth meeting. Those co-PR collaborators are mostly friends and colleagues I'm familiar with, but it's worth exploring the open-source partners of friends. This is how you come across the "six degrees of connection" in the open-source community.
Discover individual open-source interests: Analyze the developer's technical domain and interests based on the themes and tags of the projects participated in.
Q: What kind of technology is GitHub's most active developer interested in?
A: Choose "Open-source Interest Graph" - Search for sindresorhus (GitHub User Ranking No.1). Overall, sindresorhus shows a keen interest in node, npm, js, and furthermore, his initiated awesome project holds an impressive 300k stars – truly jaw-dropping! Currently, the open-source interest data mainly comes from the project's limited tag information, but we may see better presentations facilitated by AI technology in the future.
OSGraph will be enhanced with more exciting graphs and features:
- Simple, flexible API design for limitless graph extensions.
- Free, efficient canvas interaction for infinite exploration of data value.
- Graph URLs can be embedded in Markdown for creating personalized open-source business cards.
- AI-based analysis of project theme tags.
- Combined analysis of multiple people and projects to facilitate insights accessible with a single click.
- Richer data display and multi-dimensional analysis.
- Many more features to build together with you...
We welcome everyone to submit Issues for active discussions, offering product suggestions, and feedback on user experience.
You can directly submit GitHub Issues/PRs to provide feedback and suggest improvements for OSGraph, or you can join the TuGraph community group and communicate with us directly through the contact information provided below.
A heartfelt thanks to the organizations X-Lab, AntV, and TuGraph for their strong support of this project!