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Comparison

apps vs jax

Verdict

Pick apps when license: apps is MIT, jax is Apache-2.0; pick jax when license: jax is Apache-2.0, apps is MIT.

Markdown twin · apps alternatives · jax alternatives

GraphCanon updated today

apps logo

apps

hendrycks/apps

★ 536pushed Jun 19, 2024
vs
jax logo

jax

jax-ml/jax

★ 36kpushed Jul 11, 2026

Trust & integrity

Signalappsjax
Maintenance
Dormant (752d 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)
77 low (77 low)
As of today · osv@v1
No lockfile
As of today · none
apps trust reportjax trust reportTrust methodology

Tagline

apps
APPS: Automated Programming Progress Standard (NeurIPS 2021)
jax
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

Stars

apps
536
jax
36k

Forks

apps
70
jax
3.7k

Open issues

apps
4
jax
2.5k

Language

apps
Python
jax
Python

Adopt for

apps
-
jax
-

Persona

apps
-
jax
-

Runtime

apps
-
jax
-

License

apps
MIT
jax
Apache-2.0

Last pushed

apps
Jun 19, 2024
jax
Jul 11, 2026

Categories

apps
Model Training, Vector Databases, Evaluation & Observability
jax
Vector Databases, Computer Vision, Evaluation & Observability

Trust and health

Maintenance

apps
Dormant (18%)
jax
Very active (96%)

Days since push

apps
752d
jax
0d

Open issues (now)

apps
4
jax
2.5k

Owner type

apps
User
jax
Organization

Security scan

apps
77 low (77 low)
jax
No lockfile

Full report

apps
Trust report
jax
Trust report

Choose apps if…

  • License: apps is MIT, jax is Apache-2.0.
  • Tags unique to apps: program-synthesis, code-generation.
  • Also covers Model Training.

When NOT to use apps

  • Last GitHub push was 753 days ago (dormant maintenance, Jun 19, 2024). Validate activity before betting a new project on apps.
  • Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.
  • 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.
GitHubDetails

Choose jax if…

  • License: jax is Apache-2.0, apps is MIT.
  • Tags unique to jax: 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.
GitHubDetails

Explore

apps trust report →jax trust report →Model Training category →Vector Databases category →Evaluation & Observability category →Computer Vision category →All comparisonsStack workflowsTrending tools

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: apps 536 · jax 36k (synced Jul 11, 2026).

Common questions

What is the difference between apps and jax?
apps: APPS: Automated Programming Progress Standard (NeurIPS 2021). 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 apps over jax?
Choose apps over jax when License: apps is MIT, jax is Apache-2.0; Tags unique to apps: program-synthesis, code-generation; Also covers Model Training.
When should I choose jax over apps?
Choose jax over apps when License: jax is Apache-2.0, apps is MIT; Tags unique to jax: jax; Also covers Computer Vision.
When should I avoid apps?
Last GitHub push was 753 days ago (dormant maintenance, Jun 19, 2024). Validate activity before betting a new project on apps. Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. 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 apps or jax more popular on GitHub?
jax has more GitHub stars (35,999 vs 536). Stars measure visibility, not whether either tool fits your constraints.
Are apps and jax open source?
Yes - both are open-source projects on GitHub (apps: MIT, jax: Apache-2.0).
Where can I find alternatives to apps or jax?
GraphCanon lists graph-backed alternatives at apps alternatives and jax alternatives (apps 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, apps or jax?
apps: 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 apps and jax?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: apps trust report; jax trust report.