Comparison
evalml vs jax
Verdict
Pick evalml when license: evalml is BSD-3-Clause, jax is Apache-2.0; pick jax when license: jax is Apache-2.0, evalml is BSD-3-Clause.
Markdown twin · evalml alternatives · jax alternatives
GraphCanon updated today
Trust & integrity
| Signal | evalml | jax |
|---|---|---|
| Maintenance | Slowing (178d since push) As of today · github_public_v1 | Very active (0d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Organization 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
- evalml
- EvalML is an AutoML library written in python.
- jax
- Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
Stars
- evalml
- 849
- jax
- 36k
Forks
- evalml
- 93
- jax
- 3.7k
Open issues
- evalml
- 324
- jax
- 2.5k
Language
- evalml
- Python
- jax
- Python
Adopt for
- evalml
- -
- jax
- -
Persona
- evalml
- -
- jax
- -
Runtime
- evalml
- -
- jax
- -
License
- evalml
- BSD-3-Clause
- jax
- Apache-2.0
Last pushed
- evalml
- Jan 14, 2026
- jax
- Jul 11, 2026
Categories
- evalml
- Vector Databases, Evaluation & Observability
- jax
- Vector Databases, Computer Vision, Evaluation & Observability
Trust and health
Maintenance
- evalml
- Slowing (36%)
- jax
- Very active (96%)
Days since push
- evalml
- 178d
- jax
- 0d
Open issues (now)
- evalml
- 324
- jax
- 2.5k
Full report
- evalml
- Trust report
- jax
- Trust report
Shared compatibility
- Python · evalml: Python runtime · jax: Python runtime
Choose evalml if…
- License: evalml is BSD-3-Clause, jax is Apache-2.0.
- Tags unique to evalml: automl, data-science, model-selection, optimization.
- Leaner open-issue backlog (324).
When NOT to use evalml
- Last GitHub push was 178 days ago (slowing maintenance, Jan 14, 2026). Validate activity before betting a new project on evalml.
- 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.
Choose jax if…
- License: jax is Apache-2.0, evalml is BSD-3-Clause.
- Tags unique to jax: python, jax.
- Also covers Computer Vision.
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 (alteryx/evalml) · observed Jul 11, 2026
- GitHub forks (alteryx/evalml) · observed Jul 11, 2026
- Last push (alteryx/evalml) · observed Jan 14, 2026
- License file (BSD-3-Clause) · 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: evalml 849 · jax 36k (synced Jul 11, 2026).
Common questions
- What is the difference between evalml and jax?
- evalml: EvalML is an AutoML library written in python.. 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 evalml over jax?
- Choose evalml over jax when License: evalml is BSD-3-Clause, jax is Apache-2.0; Tags unique to evalml: automl, data-science, model-selection, optimization; Leaner open-issue backlog (324).
- When should I choose jax over evalml?
- Choose jax over evalml when License: jax is Apache-2.0, evalml is BSD-3-Clause; Tags unique to jax: python, jax; Also covers Computer Vision.
- When should I avoid evalml?
- Last GitHub push was 178 days ago (slowing maintenance, Jan 14, 2026). Validate activity before betting a new project on evalml. 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.
- 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 evalml or jax more popular on GitHub?
- jax has more GitHub stars (35,999 vs 849). Stars measure visibility, not whether either tool fits your constraints.
- Are evalml and jax open source?
- Yes - both are open-source projects on GitHub (evalml: BSD-3-Clause, jax: Apache-2.0).
- Where can I find alternatives to evalml or jax?
- GraphCanon lists graph-backed alternatives at evalml alternatives and jax alternatives (evalml 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, evalml or jax?
- evalml: Slowing. 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 evalml and jax?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: evalml trust report; jax trust report.