# mizorewww/laya-mlx > Native MLX runtime for Laya typed decision models: returns probabilities for choices, scores or truth values without text generation, running locally on Apple Silicon. - Magnitude: 0.6 out of 10 — Steady - Stars: 7,062 total · +0 stars measured 2026-11-04, 00:28–09:16 UTC, ≈ 1 by evening - Star trust: star growth looks organic - Category: Language models · Language: Python · License: Apache-2.0 · Created: 2026-09-19 · Last push: 2026-10-29 - GitHub: https://github.com/mizorewww/laya-mlx · Homepage: https://pypi.org/project/laya-mlx/ · Page: https://gitnova.dev/en/r/mizorewww/laya-mlx ## Useful for - Run local routing of support tickets to departments without cloud APIs - Score a statement against a rubric using the score type and get an expected value - Run the offline laya-snake demo on Apple Silicon to check inference latency ## Why it’s here - Star-counter measurements on 2026-11-04 (UTC), 00:28–09:16: 7062 → 7062 stars (+0). This is the change over that interval. - Estimated end-of-day forecast: about +1 stars, using observed gains and the previous day. - The repository is 46 days old and already has 7,062 stars. ## 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: 573 - Issues and pull requests: 27 - Watchers: 22 - Average over the last week: 5 per day - Usual pace: 26 per day - Stars in the last hour (measured): 0 - Latest release: v0.6.0 (2026-10-29) ## Stars per day, last 30 days (oldest → newest, today is partial) 2026-10-06 … 2026-11-04: 15, 30, 19, 20, 9, 14, 21, 21, 18, 14, 8, 4, 15, 17, 10, 8, 9, 13, 5, 6, 4, 2, 6, 5, 8, 6, 7, 3, 3, 0 ## Magnitude by day, last 14 days 10-22 1.3, 10-23 1.3, 10-24 1.4, 10-25 1.0, 10-26 1.0, 10-27 1.0, 10-28 1.0, 10-29 1.0, 10-30 1.3, 10-31 1.4, 11-01 1.2, 11-02 1.4, 11-03 0.9, 11-04 0.8 ## Similar by description 1. **deepopen-com/deepopen** — 0.0 · Cooling · Language models · Python · Not enough measurements today · unusual star pattern (heuristic) Open-source non-autoregressive System 1 decision engine for typed decisions: returns typed answers (choice, score, noul) in a single forward pass across 100+ languages without generating text. Suited for classification, routing and… Full card: https://gitnova.dev/en/r/deepopen-com/deepopen.md 2. **NandhaKishorM/laya** — 2.6 · Steady · AI agents · Python · +16 stars measured 2026-11-04, 00:21–09:07 UTC, ≈ 52 by evening Laya is a non-autoregressive decision engine that answers typed questions (choice, score, noul) over any state (text, email, ticket, JSON) in a single forward pass (~35 ms on GPU) with calibrated probabilities. Full card: https://gitnova.dev/en/r/NandhaKishorM/laya.md 3. **jaredpalmer/kev** — 2.2 · Steady · Language models · Python · +10 stars measured 2026-11-04, 00:23–09:08 UTC, ≈ 27 by evening kev is a LoRA adapter with a small readout head on top of Qwen2.5-0.5B that answers many typed questions about a document in a single forward pass, returning calibrated probabilities instead of text. Full card: https://gitnova.dev/en/r/jaredpalmer/kev.md 4. **spinfinc/spinf-serve** — 0.4 · Steady · Language models · Python · +0 stars measured 2026-11-04, 00:28–09:17 UTC, ≈ 0 by evening A serving engine for bulk classification and decision inference on a single 24 GB GPU: it reads content once and scores many questions about it in the same pass, exposing an OpenAI-compatible API. Built for high-throughput calibrated… Full card: https://gitnova.dev/en/r/spinfinc/spinf-serve.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 2026-11-04 09:19 UTC, updated every 30 minutes.