--- title: "jax vs lantern" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/jax-ml-jax-vs-lanterndata-lantern" tools: ["jax-ml-jax", "lanterndata-lantern"] --- # jax vs lantern *GraphCanon updated Jul 11, 2026* ## Verdict Pick jax when jax is primarily Python; lantern is Rust; pick lantern when lantern is primarily Rust; jax is Python. [jax](https://docs.jax.dev) reports 36k GitHub stars, 3.7k forks, and 2.5k open issues, last pushed Jul 11, 2026. [lantern](https://lantern.dev) has 888 stars, 66 forks, and 42 open issues, last pushed Dec 12, 2024. Figures are from public GitHub metadata via [jax's repository](https://github.com/jax-ml/jax) and [lantern's repository](https://github.com/lanterndata/lantern). | | [jax](/tools/jax-ml-jax.md) | [lantern](/tools/lanterndata-lantern.md) | | --- | --- | --- | | Tagline | Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more | PostgreSQL vector database extension for building AI applications | | Stars | 35,999 | 888 | | Forks | 3,676 | 66 | | Open issues | 2,495 | 42 | | Language | Python | Rust | | Adopt for | - | - | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | AGPL-3.0 | | Categories | Computer Vision, Evaluation & Observability, Vector Databases | Computer Vision, Vector Databases | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [jax](/tools/jax-ml-jax.md) | [lantern](/tools/lanterndata-lantern.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Dormant (18%) | | Days since push | 0d | 575d | | Open issues (now) | 2.5k | 42 | | Full report | [trust report](/tools/jax-ml-jax/trust.md) | [trust report](/tools/lanterndata-lantern/trust.md) | ## Choose when ### Choose jax if… - jax is primarily Python; lantern is Rust. - License: jax is Apache-2.0, lantern is AGPL-3.0. - Tags unique to jax: jax, python. - Also covers Evaluation & Observability. ### Choose lantern if… - lantern is primarily Rust; jax is Python. - License: lantern is AGPL-3.0, jax is Apache-2.0. - Tags unique to lantern: ai, ann, approximate-nearest-neighbor-search, data-science. ## 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 lantern - Last GitHub push was 577 days ago (dormant maintenance, Dec 12, 2024). Validate activity before betting a new project on lantern. - Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. ## Common questions ### What is the difference between jax and lantern? jax: Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more. lantern: PostgreSQL vector database extension for building AI applications. See the comparison table for live GitHub stats and shared categories. ### When should I choose jax over lantern? Choose jax over lantern when jax is primarily Python; lantern is Rust; License: jax is Apache-2.0, lantern is AGPL-3.0; Tags unique to jax: jax, python; Also covers Evaluation & Observability. ### When should I choose lantern over jax? Choose lantern over jax when lantern is primarily Rust; jax is Python; License: lantern is AGPL-3.0, jax is Apache-2.0; Tags unique to lantern: ai, ann, approximate-nearest-neighbor-search, data-science. ### 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 lantern? Last GitHub push was 577 days ago (dormant maintenance, Dec 12, 2024). Validate activity before betting a new project on lantern. Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. ### Is jax or lantern more popular on GitHub? jax has more GitHub stars (35,999 vs 888). Stars measure visibility, not whether either tool fits your constraints. ### Are jax and lantern open source? Yes - both are open-source projects on GitHub (jax: Apache-2.0, lantern: AGPL-3.0). ### Where can I find alternatives to jax or lantern? GraphCanon lists graph-backed alternatives at [jax alternatives](/tools/jax-ml-jax/alternatives) and [lantern alternatives](/tools/lanterndata-lantern/alternatives) ([jax markdown twin](/tools/jax-ml-jax/alternatives.md), [lantern markdown twin](/tools/lanterndata-lantern/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-lanterndata-lantern.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, jax or lantern? jax: Very active. lantern: 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 lantern? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [jax trust report](/tools/jax-ml-jax/trust); [lantern trust report](/tools/lanterndata-lantern/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/_