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Project comparison
graphify vs pytorch
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
pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Best matched with other framework tools.
103.7K
Stars
+170
Weekly
80/100
Health
Quick Take
Adoption
graphify has the larger GitHub footprint with 123.6K 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 | pytorch |
|---|---|---|
| Evidence status | Verified snapshot· 2026-10-04 09:19 UTC | Verified snapshot· 2026-10-04 09:19 UTC |
| GitHub stars | 123.6K | 103.7K |
| Weekly growth | +47.0K | +170 |
| Health score | Strong95/100 | Strong80/100 |
| Contributors | 168 | 6.5K |
| Commits per week | 79.3 | 368.3 |
| Open issues | 607 | 18.4K |
| Language | Python | Python |
| License | Apache-2.0 | NOASSERTION |
| Last commit | 2026-10-04 01:26 UTC | 2026-10-04 08:49 UTC |
| Last release | v0.9.23 | v2.11.0 |
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