--- title: "apps vs jax" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/hendrycks-apps-vs-jax-ml-jax" tools: ["hendrycks-apps", "jax-ml-jax"] --- # apps vs jax *GraphCanon updated Jul 11, 2026* ## 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. [apps](https://github.com/hendrycks/apps) reports 536 GitHub stars, 70 forks, and 4 open issues, last pushed Jun 19, 2024. [jax](https://docs.jax.dev) has 36k stars, 3.7k forks, and 2.5k open issues, last pushed Jul 11, 2026. Figures are from public GitHub metadata via [apps's repository](https://github.com/hendrycks/apps) and [jax's repository](https://github.com/jax-ml/jax). | | [apps](/tools/hendrycks-apps.md) | [jax](/tools/jax-ml-jax.md) | | --- | --- | --- | | Tagline | APPS: Automated Programming Progress Standard (NeurIPS 2021) | Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more | | Stars | 536 | 35,999 | | Forks | 70 | 3,676 | | Open issues | 4 | 2,495 | | Language | Python | Python | | Adopt for | - | - | | Persona | - | - | | Runtime | - | - | | License | MIT | Apache-2.0 | | Categories | Model Training, Vector Databases, Evaluation & Observability | Vector Databases, Computer Vision, Evaluation & Observability | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [apps](/tools/hendrycks-apps.md) | [jax](/tools/jax-ml-jax.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Very active (96%) | | Days since push | 752d | 0d | | Open issues (now) | 4 | 2.5k | | Owner type | User | Organization | | Security scan | 77 low (77 low) | No lockfile | | Full report | [trust report](/tools/hendrycks-apps/trust.md) | [trust report](/tools/jax-ml-jax/trust.md) | ## Choose when ### Choose apps if… - License: apps is MIT, jax is Apache-2.0. - Tags unique to apps: program-synthesis, code-generation. - Also covers Model Training. ### 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 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 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. ## 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](/tools/hendrycks-apps/alternatives) and [jax alternatives](/tools/jax-ml-jax/alternatives) ([apps markdown twin](/tools/hendrycks-apps/alternatives.md), [jax markdown twin](/tools/jax-ml-jax/alternatives.md)), 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](/compare/hendrycks-apps-vs-jax-ml-jax.md) 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](/tools/hendrycks-apps/trust); [jax trust report](/tools/jax-ml-jax/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=hendrycks-apps`](/api/graphcanon/graph?tool=hendrycks-apps) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_