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TianyuCodings / NanoJev

OSS alternative — not TypeSafe Jev. This is a public GitHub System One–class / typed-decision replica. It is not Jev and not endorsed. Closed or no-repo competitors stay on Comparisons.

“A nano replica of Jev: parallel decisions, dynamic candidates, and an end-to-end training pipeline.”

OSS alternatives rank #2In Eval #2

TL;DR

TianyuCodings/NanoJev is an independent System One–class decision engine or interface clone. Useful to study. Not TypeSafe Jev, not RLCD, not a calibration transfer.

The author describes it as: “A nano replica of Jev: parallel decisions, dynamic candidates, and an end-to-end training pipeline.” That is their claim, not a bench this site ran.

Who it’s for

What’s inside

Top-level entries on GitHub at generation time: .env.example, .gitignore, LICENSE, README.en.md, README.md, README.zh-CN.md, SOURCE_MANIFEST.json, assets, configs, docs, package-lock.json, package.json, requirements-shooting-demo.txt, requirements-toy.txt. Read those before you trust a one-line install.

How to use

  1. Clone and follow the author’s Python toolchain. Do not invent a package name.
git clone https://github.com/TianyuCodings/NanoJev.git
cd NanoJev
  1. If you compare to Jev, keep a processor label so replica rows never read as Jev scores.
  2. Send a complete state and typed questions. Code owns control flow after the probabilities.

This repository is not TypeSafe Jev. Hosted Jev, for comparison only, still looks like a function call:

{
  model: "jev-1.13.0",
  state: { source: "TianyuCodings/NanoJev", brief: "..." },
  questions: {
    gate: { type: "noul", instructions: "Should we act on this state?" },
    route: { type: "choice", instructions: "Pick one next system.", criteria: ["code", "review", "human"] },
  },
}

Try this

Label a side-by-side, do not merge floors

Compare TianyuCodings/NanoJev and hosted jev-1.13.0 on my 50 labeled tickets. Report agreement. Do not copy thresholds. Tag every row with processor=replica or processor=jev.

Schema-safe ≠ correct

On a case TianyuCodings/NanoJev gets wrong, write down the schema-legal answer it returned and the human label. Do not “fix” it by asking Jev to generate an explanation.

FAQ

Can I treat these scores as Jev?

No. Label them as replica or local-engine results. Calibration does not transfer.

Does TypeSafe endorse it?

Their public docs index does not list it as Jev. We do not either.

Sources

Public repository metadata and TypeSafe documentation. No private claims.