--- title: "jax vs devol" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/jax-ml-jax-vs-joeddav-devol" tools: ["jax-ml-jax", "joeddav-devol"] --- # jax vs devol *GraphCanon updated Jul 11, 2026* ## Verdict Pick jax when license: jax is Apache-2.0, devol is MIT; pick devol when license: devol is MIT, jax is Apache-2.0. [jax](https://docs.jax.dev) reports 36k GitHub stars, 3.7k forks, and 2.5k open issues, last pushed Jul 11, 2026. [devol](https://github.com/joeddav/devol) has 950 stars, 114 forks, and 7 open issues, last pushed May 25, 2023. Figures are from public GitHub metadata via [jax's repository](https://github.com/jax-ml/jax) and [devol's repository](https://github.com/joeddav/devol). | | [jax](/tools/jax-ml-jax.md) | [devol](/tools/joeddav-devol.md) | | --- | --- | --- | | Tagline | Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more | Early POC of genetic neural architecture search | | Stars | 35,999 | 950 | | Forks | 3,676 | 114 | | Open issues | 2,495 | 7 | | Language | Python | Python | | Adopt for | - | - | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | MIT | | Categories | Computer Vision, Evaluation & Observability, Vector Databases | Computer Vision, Evaluation & Observability, Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [jax](/tools/jax-ml-jax.md) | [devol](/tools/joeddav-devol.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Dormant (18%) | | Days since push | 0d | 1143d | | Open issues (now) | 2.5k | 7 | | Owner type | Organization | User | | Full report | [trust report](/tools/jax-ml-jax/trust.md) | [trust report](/tools/joeddav-devol/trust.md) | ## Choose when ### Choose jax if… - License: jax is Apache-2.0, devol is MIT. - Tags unique to jax: jax. - Also covers Vector Databases. ### Choose devol if… - License: devol is MIT, jax is Apache-2.0. - Tags unique to devol: automl, computer-vision, deep-learning, genetic-algorithm. - Also covers Model Training. ## When NOT to use jax - Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers. - Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. ## When NOT to use devol - Last GitHub push was 1143 days ago (dormant maintenance, May 25, 2023). Validate activity before betting a new project on devol. - Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers. - Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. ## Common questions ### What is the difference between jax and devol? jax: Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more. devol: Early POC of genetic neural architecture search. See the comparison table for live GitHub stats and shared categories. ### When should I choose jax over devol? Choose jax over devol when License: jax is Apache-2.0, devol is MIT; Tags unique to jax: jax; Also covers Vector Databases. ### When should I choose devol over jax? Choose devol over jax when License: devol is MIT, jax is Apache-2.0; Tags unique to devol: automl, computer-vision, deep-learning, genetic-algorithm; Also covers Model Training. ### When should I avoid jax? Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers. 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 devol? Last GitHub push was 1143 days ago (dormant maintenance, May 25, 2023). Validate activity before betting a new project on devol. Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers. Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. ### Is jax or devol more popular on GitHub? jax has more GitHub stars (35,999 vs 950). Stars measure visibility, not whether either tool fits your constraints. ### Are jax and devol open source? Yes - both are open-source projects on GitHub (jax: Apache-2.0, devol: MIT). ### Where can I find alternatives to jax or devol? GraphCanon lists graph-backed alternatives at [jax alternatives](/tools/jax-ml-jax/alternatives) and [devol alternatives](/tools/joeddav-devol/alternatives) ([jax markdown twin](/tools/jax-ml-jax/alternatives.md), [devol markdown twin](/tools/joeddav-devol/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/jax-ml-jax-vs-joeddav-devol.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, jax or devol? jax: Very active. devol: Dormant. 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 jax and devol? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [jax trust report](/tools/jax-ml-jax/trust); [devol trust report](/tools/joeddav-devol/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=jax-ml-jax`](/api/graphcanon/graph?tool=jax-ml-jax) - 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/_