# daseinlabs/open-jev

> Local server and CLI for scoring pre-written options with an LLM: computes each option's log-probability in a single prefix-shared forward pass without decoding, running Gemma 3 4B on Apple Silicon via MLX.

- Magnitude: 2.6 out of 10 — Early signal
- Stars: 96 total · +2 stars today, ≈ 10 by evening
- Star trust: star growth looks organic
- Category: Language models · Language: Python · Created: 2026-09-17 · Last push: 2026-09-19
- GitHub: https://github.com/daseinlabs/open-jev · Homepage: https://github.com/daseinlabs/open-jev · Page: https://gitnova.dev/en/r/daseinlabs/open-jev

## Useful for

- Rank assistant reply options by probability to pick the best one
- Start the HTTP server on :8000 and score options in about 90 ms per request
- Answer typed questions (choice, score, noul) via the TypeSafe System One contract

## Why it’s here

- 2 stars so far today, about 10 expected by the end of the day.
- The spike has held for 3 days in a row — not a one-off blip.
- The repository is 5 days old and already has 96 stars. With less than two weeks of history, there's no usual pace to compare the spike against yet.
- Top new repositories this week: #198.
- Hacker News: “Open-jev: One-pass option scoring with Gemma 3 4B, similar to jev” — 6 points, 5 days ago.
- Recent forks include notable developers: @pjt3591oo (384 followers).

## Star trust

Star growth looks organic.

Star-trust labels are heuristics based on the repository’s behavior, not a check of every stargazer.

## Numbers

- Forks: 17
- Issues and pull requests: 9
- Watchers: 1
- Average over the last week: 17 per day
- Usual pace: too little history (under two weeks)
- Stars in the last hour (measured): 1

## Stars per day, last 10 days (oldest → newest, today is partial)

2026-09-13 … 2026-09-22: 0, 0, 0, 2, 16, 18, 25, 14, 19, 2

## Hacker News

- Open-jev: One-pass option scoring with Gemma 3 4B, similar to jev — 6 points, 1 comments: https://news.ycombinator.com/item?id=49737236

## Spotted in now

- Top new repositories this week: #198

## Similar by description

1. **Yinsongxu/LLM2Jev** — 3.2 · Early signal · Language models · Python · +5 stars today, ≈ 16 by evening
   A tool that turns local language models into structured decision engines: it accepts Choice, Score, and Noul questions and returns typed answers with probabilities using prefill-only inference without generating tokens.
   Full card: https://gitnova.dev/en/r/Yinsongxu/LLM2Jev.md
2. **hr98w/jev-visual** — 3.3 · Early signal · Language models · Python · +3 stars today, ≈ 20 by evening
   An educational project for running vision-language model inference on Apple Silicon via MLX: answers multiple questions about one image by choosing options or scoring levels, without autoregressive generation.
   Full card: https://gitnova.dev/en/r/hr98w/jev-visual.md
3. **Rizzo-AI-Academy/rizzo-flow** — 5.9 · Early signal · Language models · Python · +40 stars today, ≈ 152 by evening
   A local-first implementation of the Jev idea: an LLM returns typed decisions (boolean, choice, score, numeric) with probabilities in a single forward pass, without generating tokens. Compatible with the TypeSafe HTTP API.
   Full card: https://gitnova.dev/en/r/Rizzo-AI-Academy/rizzo-flow.md
4. **Mapika/decider** — 4.8 · Early signal · Language models · Python · +6 stars today, ≈ 51 by evening
   A language model that does not generate text: from a single forward pass it returns calibrated probabilities for typed questions (Choice, Score, Noul) about a given state. An open reproduction of the "System One" model class built on…
   Full card: https://gitnova.dev/en/r/Mapika/decider.md
5. **kshetrajna12/reflex** — 2.4 · Early signal · Language models · Python · +3 stars today, ≈ 12 by evening
   An open decision model: given a state (text, JSON, or image) and typed questions, it returns calibrated probabilities over fixed answer options. Runs on top of Qwen3.5 and answers with numbers instead of free text.
   Full card: https://gitnova.dev/en/r/kshetrajna12/reflex.md

---

Magnitude (0–10) measures how fast and how unusually interest in a repository is growing right now. It is not a quality score.
Days are UTC. “So far today” is a fact; “expected by the end of the day” is a forecast.
Summaries and use cases are written by an LLM (DeepSeek V4.1 Flash) from the README and may be inaccurate: verify specific claims (benchmarks, speed, hardware) in the repository itself.
Data as of 2026-09-22 09:34 UTC, updated every 30 minutes.