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Awesome Benchmarks & research Jev Projects

Explore an awesome collection of 99 verified open-source Benchmarks & research Jev projects on bestjev. Compare GitHub stars, languages, repositories, and implementations.

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  1. TianyuCodings/NanoJev

    Benchmarks & research
    1,074Python

    Open 0.6B Jev replica with parallel decisions, complete probability distributions, training pipeline, weights, dataset, and live demos.

  2. vinnylarouge/jevlike

    Benchmarks & research
    1,008Python

    Train a small model that chooses among a changing list of text options, one probability per option in a single pass. Includes Doom, chess, and Wikispeedia demos.

  3. hr98w/jev-visual

    Benchmarks & research
    150Python

    An educational Jev-like visual inference experiment on Apple Silicon: shared context, direct candidate scoring, and local visual demos.

  4. Mapika/decider

    Benchmarks & research
    99Python

    One-pass typed decisions with calibrated probabilities (System One style model), fine-tuned from Qwen3.5-2B.

  5. vinilana/jev-eval-agent

    Benchmarks & research
    95HTML

    Personal-assistant agent built on Vercel's eve with 100 mocked tools, measuring how many steps it takes when Jev picks the tool versus the LLM.

  6. kshetrajna12/reflex

    Benchmarks & research
    79Python

    A small open decision model: state + typed questions -> calibrated probabilities. A Jev / System One re-creation on Qwen3.5.

  7. nekuda-ai/WindTunnel

    Benchmarks & research
    69TypeScript

    WebMCP benchmark comparing browser-agent interfaces, with Jev included as one of the evaluated configurations.

  8. fstandhartinger/jevbench

    Benchmarks & research
    67Python

    JevBench v1 - a benchmark for Jev-class typed decision models: smart, cheap, fast, reliable, open.

  9. daseinlabs/open-jev

    Benchmarks & research
    56Python

    One-pass option scoring with a local Gemma 3 4B on Apple silicon via MLX, inspired by jevlike, with a Doom demo.

  10. bnsd55/jevmlx

    Benchmarks & research
    40Python

    Jev-style parallel constrained decisions for any MLX model on Apple Silicon. Typed, schema-valid JSON in one forward pass.

  11. iammrduncan/typesafe-ai-benchmark

    Benchmarks & research
    32TypeScript

    This is a LLM Gateway that mimics typesafe ai structured output. Like an imposter Jev.

  12. Heman10x-NGU/Verdict-open-jev

    Benchmarks & research
    28Python

    Non-autoregressive decision engine on ModernBERT (151M) with calibrated uncertainty (RLCD), TypeSafe AI Jev benchmark audit, and in-browser WebGPU playground.

  13. r-ms/mini-jev

    Benchmarks & research
    24Python

    Mini-Jev: what a Jev-style typed-decision interface looks like on a frozen Qwen3-4B — read the option letter's logits instead of generating JSON. Preregistered experiment, results, teaching bench.

  14. zhengxuyu/litjev

    Benchmarks & research
    21Python

    A reproduction of Jev that turns any Qwen model into a fast decision model, serving the same /v1/systemone schema (Choice, Score, Noul) with no training and no generated answer text.

  15. rorshopping/jev-on-a-laptop

    Benchmarks & research
    18Python

    Unofficial study: Jev-style parallel typed decisions on stock 1.5B-8B models on an Apple Silicon laptop. Benchmarks, research notes, and a Hugging Face Space demo.

  16. goodrahstar/jev-column-race

    Benchmarks & research
    16JavaScript

    Jev vs Gemini 3.8 Flash: labelling 1,000 app reviews, 4.1× faster and 7× cheaper.

Category guide

What does the Benchmarks & research category include?

Benchmarks and research evaluate Jev behavior, decision quality, calibration, performance, and practical tradeoffs.

Entries include datasets, evaluation harnesses, comparison studies, research prototypes, measurements, and reproducible experiments involving Jev.

Benchmarks & research FAQ

What qualifies for the Benchmarks & research category?

Entries include datasets, evaluation harnesses, comparison studies, research prototypes, measurements, and reproducible experiments involving Jev.

How should I compare Benchmarks & research projects?

Start with the documented use case, repository activity, primary language, license, and visible Jev implementation. GitHub stars are a dated discovery signal, not a quality score.

How does bestjev verify Benchmarks & research entries?

bestjev checks public repositories, project-authored documentation, code, demos, and other visible evidence. Always confirm current behavior and compatibility in the upstream project.

Which sources support this category?

bestjev grounds this category in named primary sources: Official Jev documentation · Public GitHub repositories.

“Typed outputs that software can act on.”TypeSafe AI