Data refreshed 5 October 2026, 22:59 UTC
How Top100 compares to other GitHub ranking sources
There are two families of GitHub ranking tools: human-facing leaderboards that answer "what is popular?" and data platforms that answer "what happened?". Top100 deliberately sits in a narrow gap between them: a leaderboard-shaped view of a data-platform-shaped export. This page says exactly where it wins and where it does not, because the honest answer is usually "use both".
| Source | What you get | Format | Refresh | Per-language top 100 | Machine-readable export |
|---|---|---|---|---|---|
| Top100 (this site) | Top 100 repositories by stars for 30 languages, plus raw JSONL of every record. | HTML tables + JSONL + Markdown | Hourly | Yes — 30 languages | Yes — direct JSONL download |
| EvanLi/Github-Ranking | Top 100 by stars and top 100 by forks per language, published as Markdown tables in the repo README. | Markdown only | Daily | Yes | No — tables only |
| gitstar-ranking.com | Unofficial star ranking of 10,000 users, organizations and repositories. | HTML tables | Regularly | No — global list | No |
| Top1000Repos.com | Top 1,000 repositories sortable by stars, pull requests and issues. | HTML table | Daily | No — global list | No |
| GitHub Trending | What is gaining stars today, this week or this month; a couple of dozen repositories. | HTML only, no API | Daily | Yes — filterable | No |
| GitHub Search | Any query you can express, including stars, language, topics and dates. | HTML + REST API | Live | Yes | Yes — via the API |
| OSS Insight | Deep analytics: star velocity, contributor trends, collections and SQL playground over GitHub Archive. | HTML + SQL | Hourly | Partly | Query results only |
| Star History | Star curves over time for any set of repositories. | Charts + images | On demand | No | No |
| GH Archive | Every public GitHub event since 2011, hour by hour, as gzipped JSON. | JSON (events) | Hourly | No — event stream | Yes — bulk download |
| BigQuery public GitHub datasets | Petabyte-scale GitHub data queryable in SQL, including repository snapshots. | SQL tables | Hourly / daily | Partly | Query results only |
Use Top100 when…
- You want the top 100 for a specific language, not the global top 10.
- You need the raw repository object — topics, licence, timestamps, counts — not a screenshot of a table.
- You want a file you can
curl, cache, mirror or load into DuckDB without an API key or a rate limit. - You are building something that must stay current, and hourly is often enough.
- You want a worked example of scheduled GitHub Actions data collection you can fork.
Use something else when…
- You need star trends over months or years → Star History or OSS Insight.
- You want to know what is hot right now → GitHub Trending.
- You need event-level history (commits, issues, PRs) → GH Archive or BigQuery.
- You need every repository, not the top 100 → GitHub Search, GH Archive or GHTorrent.
- You want rankings of users and organizations, not repositories → gitstar-ranking.com.
Checked against those sources in September 2026. If a comparison row has gone stale, the issue tracker is the fastest way to correct it.