--- title: "ai-getting-started vs jax" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/a16z-infra-ai-getting-started-vs-jax-ml-jax" tools: ["a16z-infra-ai-getting-started", "jax-ml-jax"] --- # ai-getting-started vs jax *GraphCanon updated Jul 12, 2026* ## Verdict Pick ai-getting-started when ai-getting-started is primarily TypeScript; jax is Python; pick jax when jax is primarily Python; ai-getting-started is TypeScript. [ai-getting-started](https://ai-getting-started.com/) reports 4.1k GitHub stars, 663 forks, and 16 open issues, last pushed Aug 21, 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 [ai-getting-started's repository](https://github.com/a16z-infra/ai-getting-started) and [jax's repository](https://github.com/jax-ml/jax). | | [ai-getting-started](/tools/a16z-infra-ai-getting-started.md) | [jax](/tools/jax-ml-jax.md) | | --- | --- | --- | | Tagline | A Javascript AI getting started stack for weekend projects, including image/text models, vector stores, auth, and deployment configs | Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more | | Stars | 4,141 | 35,999 | | Forks | 663 | 3,676 | | Open issues | 16 | 2,495 | | Language | TypeScript | Python | | Adopt for | - | - | | Persona | - | - | | Runtime | - | - | | License | MIT | Apache-2.0 | | Categories | Vector Databases, Inference & Serving, Computer Vision | Vector Databases, Computer Vision, Evaluation & Observability | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [ai-getting-started](/tools/a16z-infra-ai-getting-started.md) | [jax](/tools/jax-ml-jax.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Very active (96%) | | Days since push | 688d | 0d | | Open issues (now) | 16 | 2.5k | | Security scan | 31 low (31 low) | No lockfile | | Full report | [trust report](/tools/a16z-infra-ai-getting-started/trust.md) | [trust report](/tools/jax-ml-jax/trust.md) | ## Choose when ### Choose ai-getting-started if… - ai-getting-started is primarily TypeScript; jax is Python. - License: ai-getting-started is MIT, jax is Apache-2.0. - Tags unique to ai-getting-started: typescript. - Also covers Inference & Serving. - ai-getting-started ships Docker support for self-hosted deployment. ### Choose jax if… - jax is primarily Python; ai-getting-started is TypeScript. - License: jax is Apache-2.0, ai-getting-started is MIT. - Tags unique to jax: python, jax. - Also covers Evaluation & Observability. ## When NOT to use ai-getting-started - Last GitHub push was 689 days ago (dormant maintenance, Aug 21, 2024). Validate activity before betting a new project on ai-getting-started. - Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. - Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. ## 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 ai-getting-started and jax? ai-getting-started: A Javascript AI getting started stack for weekend projects, including image/text models, vector stores, auth, and deployment configs. 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 ai-getting-started over jax? Choose ai-getting-started over jax when ai-getting-started is primarily TypeScript; jax is Python; License: ai-getting-started is MIT, jax is Apache-2.0; Tags unique to ai-getting-started: typescript; Also covers Inference & Serving; ai-getting-started ships Docker support for self-hosted deployment. ### When should I choose jax over ai-getting-started? Choose jax over ai-getting-started when jax is primarily Python; ai-getting-started is TypeScript; License: jax is Apache-2.0, ai-getting-started is MIT; Tags unique to jax: python, jax; Also covers Evaluation & Observability. ### When should I avoid ai-getting-started? Last GitHub push was 689 days ago (dormant maintenance, Aug 21, 2024). Validate activity before betting a new project on ai-getting-started. Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. ### 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 ai-getting-started or jax more popular on GitHub? jax has more GitHub stars (35,999 vs 4,141). Stars measure visibility, not whether either tool fits your constraints. ### Are ai-getting-started and jax open source? Yes - both are open-source projects on GitHub (ai-getting-started: MIT, jax: Apache-2.0). ### Where can I find alternatives to ai-getting-started or jax? GraphCanon lists graph-backed alternatives at [ai-getting-started alternatives](/tools/a16z-infra-ai-getting-started/alternatives) and [jax alternatives](/tools/jax-ml-jax/alternatives) ([ai-getting-started markdown twin](/tools/a16z-infra-ai-getting-started/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/a16z-infra-ai-getting-started-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, ai-getting-started or jax? ai-getting-started: 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 ai-getting-started and jax? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [ai-getting-started trust report](/tools/a16z-infra-ai-getting-started/trust); [jax trust report](/tools/jax-ml-jax/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=a16z-infra-ai-getting-started`](/api/graphcanon/graph?tool=a16z-infra-ai-getting-started) - 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/_