Github Ranking AI is live · free · last verified 14 Nov 2026 · viability monitor
Github Ranking AI
Github Ranking AI ranks the most-starred GitHub AI repositories across 14 subfields, refreshed daily.
Use the 14-way category split, not the top-line number. Seeing who leads RAG or MoE separately from the general LLM scrum is the useful part, and the last-commit dates let you weed out stale entries such as andrej-karpathy-skills (last committed 2026-04-20). Just remember cumulative stars reward incumbents, so it won't tell you what is surging this week.
Verdict generatedVerified 2h ago · liveness 65/100 · cite: rightaichoice.com/tools/github-ranking-ai
- Developers comparing frameworks inside one AI subfield — LLM, RAG, MoE or AI Agents — before committing to a stack
- Researchers and analysts who need a free, timestamped snapshot without creating an account
- Newsletter writers and journalists citing current star and fork figures
- Chinese- and English-speaking teams that want a bilingual leaderboard
- Anyone who needs star-growth velocity or historical trend charts rather than cumulative totals
- Teams that need an API, CSV export or webhook to feed dashboards and monitoring
- Users who want to filter by language, license or recent commit activity
We scan live Reddit threads, YouTube comments, X posts, G2 reviews and other communities — and hand you an honest verdict in under a minute.
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Skip Github Ranking AI if you need star-growth velocity, historical charts or a filterable dataset, since it publishes only cumulative star and fork totals refreshed once a day.
In short
Github Ranking AI — Github Ranking AI ranks the most-starred GitHub AI repositories across 14 subfields, refreshed daily. Best for Developers comparing frameworks inside one AI subfield — LLM, RAG, MoE or AI Agents — before committing to a stack, Researchers and analysts who need a free, timestamped snapshot without creating an account, Newsletter writers and journalists citing current star and fork figures. Free to use.
What is Github Ranking AI?
Github Ranking AI — Github Ranking AI ranks the most-starred GitHub AI repositories across 14 subfields, refreshed daily. Best for Developers comparing frameworks inside one AI subfield — LLM, RAG, MoE or AI Agents — before committing to a stack, Researchers and analysts who need a free, timestamped snapshot without creating an account, Newsletter writers and journalists citing current star and fork figures. Free to use.
Github Ranking AI is a free, open-source GitHub repository ranking board for AI. It splits the landscape into 14 named subfields — LLM, ChatGPT, OpenAI, Deepseek, LLaMA, Chatbot, AI Agents, Claude, RAG, Mistral, Transformer, MoE, AGI and Generative_AI — and ranks repos in each by star count, with forks shown alongside. Every category opens with a top-10 preview table that links through to a full top-100 list. Each row carries stars, forks, primary language, open issues, a one-line description and the last commit date, so you can see both popularity and whether the project is still being maintained. A page-level 'Last Automatic Update Time' stamp (2026-11-08T10:12:52Z in today's scrape) sits at the top, backed by a once-per-day rebuild across all 14 categories. A table-of-contents block jumps straight to any category, and the interface is bilingual English and Chinese. No account, login or API key is required, and the ranking logic lives in a public GitHub repo you can inspect. Compared with GitHub's own Trending page, the trade-off is scope versus momentum: you get AI-only, category-split standings ranked on cumulative stars rather than weekly velocity.
Key features
- Daily automatic ranking of GitHub AI repositories by star count
- Separate leaderboards for 14 AI subfields including LLM, RAG, MoE, AI Agents and Claude
- Fork counts published alongside stars for every ranked repository
- Top-10 preview table per category linking to the full top-100 list
- Row-level metadata: stars, forks, primary language, open issues and description
- Last commit date shown for every ranked repository
- Page-level 'Last Automatic Update Time' stamp for freshness checking
- Table-of-contents navigation across all 14 AI categories
- Bilingual English and Chinese interface
- No registration, login or API key needed to read the rankings
- Open-source ranking logic inspectable in a public GitHub repo
- Static, lightweight page that loads without a JavaScript-heavy UI
Behind the verdict
Github Ranking AI is the kind of page you open, scan for two minutes, and close with a mental map of a niche. That is the job it does well. If you are picking a stack for RAG or deciding between agent frameworks, seeing the top 100 for that one category is more useful than GitHub's single firehose of trending repos. Pick it when you need orientation, not monitoring. Developers comparing frameworks inside a single subfield, researchers wanting a timestamped snapshot without an account, or writers who need current star and fork figures to cite will all find it fast and free. Pass on it if you need velocity. The ranking is cumulative stars, so mature projects dominate and a repo that doubled its stars last month may still sit far down the list. Brand-new or small repos are structurally disadvantaged. There is also no API, CSV export or webhook, so it won't feed a dashboard. And no filtering by language, license or recent commit activity — you read the tables as published, with last-commit dates as your manual staleness check. The closest alternative is GitHub's own Trending page, which tracks weekly momentum but mixes AI with everything else. This board trades that momentum signal for AI-only scope and category separation. In practice, we reach for it at the start of a project to see the shape of a niche, then move to the individual repos for the real work.
Limitations
- Github Ranking AI is a reference directory rather than an interactive AI tool: it names no model of its own and only displays repository metadata (stars, forks, language, open issues, description, last commit).
- Star and fork counts are cumulative, so the ranking reflects accumulated popularity rather than current growth; ollama at 186,320 stars and AutoGPT at 187,937 stay near the top on history.
- Data refreshes once per day, as the Last Automatic Update Time stamp (2026-11-08T10:12:52Z in the current scrape) shows, so intraday movement is invisible.
- The page exposes no historical chart, no language, license or activity filter, and no export; the full lists stop at top-100 per topic, and rows can be stale in their own right — andrej-karpathy-skills was last committed 2026-04-20 despite sitting at 230,739 stars.
as of 2026-10-26
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Is Github Ranking AI still active?
Github Ranking AI is live · free · last verified 14 Nov 2026 · viability monitor.
Viability score
How well maintained and how widely used is Github Ranking AI? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: November 2026
How we score →What's new in Github Ranking AI
Checked 6 days agoAcross the latest 2 updates: 2 changelog entries.
Last Automatic Update Time: 2026-10-02T09:41:26Z
Daily refresh completed across all 14 AI categories, updating star, fork, language, open-issue and last-commit figures; the LLM top 10 was then led by ECC, hermes-agent and andrej-karpathy-skills.
Daily refresh recorded 2026-09-22
A previous recorded refresh that established the once-per-day update cadence now shown by the Last Automatic Update Time stamp on the page.
What do users say about Github Ranking AI?
What people actually say about Github Ranking AI — is it worth it?
Our community sentiment research written Jul 6, 2026 is more than 90 days old, so it is being re-reviewed against current data and is not shown.
How we verified this
Every listed fact about Github Ranking AI — pricing, features, links, status — is re-read from the vendor's own pages by our verification pipeline and each change is logged with a date; the last pass ran on 14 Nov 2026. Analysis is drafted with AI models and checked against our editorial standards before publishing; see how we verify.
Verification history
We have re-verified Github Ranking AI 13 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — changed description, our verdict, pricing tiers, summary
- — changed limitations, pricing page
- — changed pricing tiers, our verdict, description, summary
- — changed limitations, pricing page, SSL certificate
- — changed use cases, pricing tiers, our verdict, summary, features, who it suits, who should skip it, limitations, setup time, switching in, switching out, description, pricing fit
- — changed pricing page
Showing the 6 most recent of 13 verification passes.
Free to cite with attribution — this page re-verifies continuously.
How much does Github Ranking AI cost in 2026?
Github Ranking AI: Free to use. Pricing last verified 14 Nov 2026.
Plans compared
Every published Github Ranking AI tier, its price as the vendor publishes it, who it fits, and what it adds over the tier below. The 12-month cost projection follows.
| Plan | Price | Billing | Who it's for |
|---|---|---|---|
| Free | Free | — | Developers, researchers and writers who want a timestamped read on open-source AI leaders without creating an account.Adds: Starting (and only) tier: full access to all 14 category rankings, top-10 previews, top-100 lists and the freshness stamp, at no cost. |
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Has Github Ranking AI's pricing changed?
No plan price for Github Ranking AI has moved since we began logging in Aug 2026; the pricing page is re-read on every verification pass.
Who should pick Github Ranking AI?
Pick Github Ranking AI if you are Developers comparing frameworks inside one AI subfield — LLM, RAG, MoE or AI Agents — before committing to a stack, Researchers and analysts who need a free, timestamped snapshot without creating an account, Newsletter writers and journalists citing current star and fork figures, Chinese- and English-speaking teams that want a bilingual leaderboard.
Look elsewhere if you are Anyone who needs star-growth velocity or historical trend charts rather than cumulative totals, Teams that need an API, CSV export or webhook to feed dashboards and monitoring, Users who want to filter by language, license or recent commit activity, Evaluating brand-new or small repositories — cumulative stars structurally favor incumbents.
Skip it if Skip Github Ranking AI if you need star-growth velocity, historical charts or a filterable dataset, since it publishes only cumulative star and fork totals refreshed once a day.
GeneratedReal-world workflow fit
Concrete scenarios for the personas Github Ranking AI actually fits — and what changes day-one when you adopt it.
Before a stack decision you open the AI Agents and LLM categories, read the top-10 previews, and compare last-commit dates to separate actively maintained projects from dormant incumbents.
Outcome: You shortlist a handful of actively committed repositories instead of defaulting to the highest-starred name, and click through to the full top-100 for anything the preview cuts off.
You need citable numbers for a market note and check the Last Automatic Update Time stamp first, then pull stars and forks for the repos you plan to name.
Outcome: Every figure you quote carries a timestamp you can defend, and the bilingual interface lets you share the same source with English- and Chinese-speaking readers.
You compare your repository's star and fork count against the top 100 in its subfield, and check how your open-issue count reads next to leaders such as hermes-agent at 17,196.
Outcome: You get a quick benchmark and a sense of where your project sits in accumulated popularity, while knowing the metric rewards age over recent traction.
Use cases
- Check which repositories lead each of the 14 AI subfields ahead of a weekly planning or standup
- Benchmark your own project's star and fork count against the top 100 in its niche
- Find open-source alternatives to a proprietary AI tool before signing a contract
- Spot candidate repositories worth contributing to or forking, using last-commit date as a staleness filter
- Pull current AI repo leaderboard numbers for a newsletter, talk or market note
- Get a bilingual English/Chinese view of open-source AI standings without creating an account
- Screen repositories by open-issue count — hermes-agent shows 17,196 — before adopting one
Setup time & first value
How long it actually takes to get something useful out of Github Ranking AI — broken out by persona, not the marketing-page minute.
Zero setup — the page loads and the tables are readable immediately, no account or key required. Most people get their first answer in under two minutes: open the LLM or RAG category, scan the top-10 preview, and check the Last Automatic Update Time stamp.
Resources & guides
Tutorials & Learning
YouTube returned 6 videos for “Github Ranking AI”, and we withheld 6: 6 did not mention Github Ranking AI. We are showing none, because we could not prove any of them are about Github Ranking AI.
Official links
What are the best Github Ranking AI alternatives?
The closest alternatives to Github Ranking AI we list are Scite.ai, Litmaps and Iris.ai. Ranked by direct product-type match, not category overlap.
| Alternative | Pricing | Starts at | Last verified |
|---|---|---|---|
| Scite.ai | Paid | Pricing not published | — |
| Litmaps | Freemium | Pricing not published | — |
| Iris.ai | Contact Sales | Custom pricing | — |
Alternatives to Github Ranking AI
View allTools that pair well with Github Ranking AI
Common stack mates teams adopt alongside Github Ranking AI, with the specific reason each pairing earns its keep.
Scite.ai
Scite.ai's Smart Citations show whether later research supported or contradicted a scientific claim, sentence by sentence.
Litmaps
Litmaps maps a research field by plotting seed papers on a date-versus-citation graph for literature review.
Iris.ai
An enterprise knowledge layer that controls what an AI model reads and records how it answered, built for regulated R&D teams.
Github Ranking AI vs its closest rival
Github Ranking AI's closest head-to-head is with Surge Ai.
Our Github Ranking AI vs Surge Ai verdict written Jul 3, 2026 is more than 90 days old, so it is being re-reviewed against current data and is not shown.
Frequently asked questions
Categories
Best-of guides
For makers of Github Ranking AI
- Get a Verified Listing for Github Ranking AI ($39): a written decision within 1 working day.
- Free listing for another tool: Free reviews are decided in order, within 3 weeks of the review starting.
Used Github Ranking AI? Help shape our editorial sentiment research.