Comparison
ml-surveys vs jax
Verdict
Pick ml-surveys when license: ml-surveys is MIT, jax is Apache-2.0; pick jax when license: jax is Apache-2.0, ml-surveys is MIT.
Markdown twin · ml-surveys alternatives · jax alternatives
GraphCanon updated today
Trust & integrity
| Signal | ml-surveys | jax |
|---|---|---|
| Maintenance | Dormant (1212d since push) As of today · github_public_v1 | Very active (0d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Personal account As of today · github_public_v1 | Not a fork · Organization account As of today · github_public_v1 |
| Security (OSV) | No lockfile As of today · none | No lockfile As of today · none |
Tagline
- ml-surveys
- 📋 Survey papers summarizing advances in deep learning, NLP, CV, graphs, reinforcement learning, recommendations, graphs, etc.
- jax
- Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
Stars
- ml-surveys
- 2.9k
- jax
- 36k
Forks
- ml-surveys
- 291
- jax
- 3.7k
Open issues
- ml-surveys
- 2
- jax
- 2.5k
Language
- ml-surveys
- -
- jax
- Python
Adopt for
- ml-surveys
- -
- jax
- -
Persona
- ml-surveys
- -
- jax
- -
Runtime
- ml-surveys
- -
- jax
- -
License
- ml-surveys
- MIT
- jax
- Apache-2.0
Last pushed
- ml-surveys
- Mar 17, 2023
- jax
- Jul 11, 2026
Categories
- ml-surveys
- Vector Databases, Computer Vision
- jax
- Vector Databases, Computer Vision, Evaluation & Observability
Trust and health
Maintenance
- ml-surveys
- Dormant (18%)
- jax
- Very active (96%)
Days since push
- ml-surveys
- 1212d
- jax
- 0d
Open issues (now)
- ml-surveys
- 2
- jax
- 2.5k
Owner type
- ml-surveys
- User
- jax
- Organization
Full report
- ml-surveys
- Trust report
- jax
- Trust report
Choose ml-surveys if…
- License: ml-surveys is MIT, jax is Apache-2.0.
- Tags unique to ml-surveys: reinforcement-learning, embeddings, deep-learning, nlp.
- Leaner open-issue backlog (2).
When NOT to use ml-surveys
- Last GitHub push was 1213 days ago (dormant maintenance, Mar 17, 2023). Validate activity before betting a new project on ml-surveys.
- Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.
Choose jax if…
- License: jax is Apache-2.0, ml-surveys is MIT.
- Tags unique to jax: python, jax.
- Also covers Evaluation & Observability.
When NOT to use jax
- Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.
- Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (eugeneyan/ml-surveys) · observed Jul 11, 2026
- GitHub forks (eugeneyan/ml-surveys) · observed Jul 11, 2026
- Last push (eugeneyan/ml-surveys) · observed Mar 17, 2023
- License file (MIT) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (jax-ml/jax) · observed Jul 11, 2026
- GitHub forks (jax-ml/jax) · observed Jul 11, 2026
- Last push (jax-ml/jax) · observed Jul 11, 2026
- License file (Apache-2.0) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: ml-surveys 2.9k · jax 36k (synced Jul 11, 2026).
Common questions
- What is the difference between ml-surveys and jax?
- ml-surveys: 📋 Survey papers summarizing advances in deep learning, NLP, CV, graphs, reinforcement learning, recommendations, graphs, etc.. jax: Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more. See the comparison table for live GitHub stats and shared categories.
- When should I choose ml-surveys over jax?
- Choose ml-surveys over jax when License: ml-surveys is MIT, jax is Apache-2.0; Tags unique to ml-surveys: reinforcement-learning, embeddings, deep-learning, nlp; Leaner open-issue backlog (2).
- When should I choose jax over ml-surveys?
- Choose jax over ml-surveys when License: jax is Apache-2.0, ml-surveys is MIT; Tags unique to jax: python, jax; Also covers Evaluation & Observability.
- When should I avoid ml-surveys?
- Last GitHub push was 1213 days ago (dormant maintenance, Mar 17, 2023). Validate activity before betting a new project on ml-surveys. Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.
- When should I avoid jax?
- Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers.
- Is ml-surveys or jax more popular on GitHub?
- jax has more GitHub stars (35,999 vs 2,900). Stars measure visibility, not whether either tool fits your constraints.
- Are ml-surveys and jax open source?
- Yes - both are open-source projects on GitHub (ml-surveys: MIT, jax: Apache-2.0).
- Where can I find alternatives to ml-surveys or jax?
- GraphCanon lists graph-backed alternatives at ml-surveys alternatives and jax alternatives (ml-surveys markdown twin, jax markdown twin), ranked by typed relationship edges rather than popularity votes.
- Is there a machine-readable version of this comparison?
- Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
- Which is better maintained, ml-surveys or jax?
- ml-surveys: Dormant. jax: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.
- Where are the full trust reports for ml-surveys and jax?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: ml-surveys trust report; jax trust report.