Project Description: Map of GitHub
What is the project about?
The project is a visual map of over 400,000 GitHub projects, where projects with many shared stargazers are positioned closer to each other.
What problem does it solve?
It provides a novel way to explore and discover GitHub projects based on their relationships, revealing clusters of projects with similar interests or communities.
What are the features of the project?
- Visualization: A map-like interface displaying GitHub projects as dots.
- Clustering: Projects are grouped based on shared stargazers, forming "countries".
- Similarity: Proximity between projects indicates a high degree of shared stargazers.
- Country Naming: Clusters are given names (often generated by ChatGPT) reflecting the common theme of the repositories within them.
- Search: A search box allows users to find repositories by name.
- Editable Country Labels: Country labels can be edited via pull requests.
What are the technologies used in the project?
- Google BigQuery: Used to fetch GitHub star data.
- AWS EC2: Used for computing Jaccard Similarity due to high RAM requirements.
- Jaccard Similarity: Algorithm to measure the similarity between repositories.
- Leiden Clustering: Algorithm to group repositories into clusters.
- ngraph.forcelayout: Custom library for computing node layouts.
- MapLibre: Used for rendering the map.
- Tippecanoe: Used for generating map tiles.
- GeoJSON: Data format used for map data.
- ChatGPT: Used to generate names for the clusters ("countries").
What are the benefits of the project?
- Discovery: Helps users discover new projects related to their interests.
- Exploration: Provides a visual way to explore the GitHub landscape.
- Community Insight: Reveals communities and relationships between projects.
- Open Source: The project is open-source, allowing for contributions and modifications.
What are the use cases of the project?
- Finding related projects: Users can find projects similar to those they already like.
- Exploring new areas: Discover projects in unfamiliar domains.
- Understanding the GitHub ecosystem: Gain insights into the relationships between different projects and communities.
- Research: The data and visualization can be used for research on open-source collaboration and trends.
