← Back to Leaderboard
Project comparison
graphify vs transformers
Compare adoption, momentum, maintenance health, and project basics before choosing which tool to evaluate deeper.
graphify
Turn any codebase, with its docs, SQL schemas, configs, and PDFs, into a queryable knowledge graph. A /graphify skill for Claude Code, Cursor, Codex, and Gemini CLI: local deterministic AST parsing, every edge explained, no vector store.
Best matched with other framework tools.
123.6K
Stars
+47.0K
Weekly
95/100
Health
transformers
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
Best matched with other framework tools.
166.9K
Stars
+220
Weekly
89/100
Health
Quick Take
Adoption
transformers has the larger GitHub footprint with 166.9K stars.
Momentum
graphify is currently growing faster at +47.0K stars this week.
Maintenance
graphify has the stronger automated maintenance signal at 95/100. This is not a security or fit verdict.
Side-by-side evidence
Use these signals to narrow your choice, then confirm setup, license, and fit upstream.
| Signal | graphify | transformers |
|---|---|---|
| Evidence status | Verified snapshot· 2026-10-04 09:19 UTC | Verified snapshot· 2026-10-04 09:19 UTC |
| GitHub stars | 123.6K | 166.9K |
| Weekly growth | +47.0K | +220 |
| Health score | Strong95/100 | Strong89/100 |
| Contributors | 168 | 3.9K |
| Commits per week | 79.3 | 64.0 |
| Open issues | 607 | 2.4K |
| Language | Python | Python |
| License | Apache-2.0 | Apache-2.0 |
| Last commit | 2026-10-04 01:26 UTC | 2026-10-04 01:58 UTC |
| Last release | v0.9.23 | v5.8.0 |
Weekly AI open-source movers
Get the fastest-growing projects, useful MCP servers, and technical reads in one weekly email.