# rkinas/basal > Inference engine for basal-1.0 — small, fast, calibrated typed-decision models for Polish and English. The model reads a state and returns a probability for each allowed answer in one forward pass, without generating text. - Magnitude: 2.6 out of 10 — Early signal - Stars: 78 total · +13 stars today, ≈ 17 by evening - Star trust: star growth looks organic - Category: Language models · Language: Python · License: Apache-2.0 · Created: 2026-09-26 · Last push: 2026-09-30 - GitHub: https://github.com/rkinas/basal · Page: https://gitnova.dev/en/r/rkinas/basal ## Useful for - Route tickets and emails into frequently changing categories without retraining - Check a document against rules and deadlines, e.g. whether an appeal was filed on time - Score incident urgency or risk on an ordered scale with a confidence threshold ## Why it’s here - 13 stars so far today, about 17 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 78 stars. With less than two weeks of history, there's no usual pace to compare the spike against yet. - Top new repositories this week: #197. ## 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: 7 - Issues and pull requests: 6 - Watchers: 2 - Average over the last week: 14 per day - Usual pace: too little history (under two weeks) - Stars in the last hour (measured): 0 ## Stars per day, last 12 days (oldest → newest, today is partial) 2026-09-20 … 2026-10-01: 0, 0, 0, 0, 0, 0, 0, 0, 13, 36, 16, 13 ## Spotted in now - Top new repositories this week: #197 ## Similar by description 1. **receptron/laya** — 2.2 · Steady · Language models · TypeScript · +16 stars today, ≈ 22 by evening TypeScript wrapper for running the open-source Laya System-1 decision model via ONNX Runtime: takes a state and typed questions, returns answers with calibrated probabilities in one forward pass. Full card: https://gitnova.dev/en/r/receptron/laya.md 2. **kshetrajna12/reflex** — 0.4 · Steady · Language models · Python · +0 stars today, ≈ 0 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 3. **NandhaKishorM/laya** — 3.6 · Cooling · AI agents · Python · +333 stars today, ≈ 439 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 4. **Davipar/djev-dev** — 0.7 · Steady · Language models · Python · +1 star today, ≈ 1 by evening An open implementation of small typed decisions (yes/no, choice, score) on DiffusionGemma and vLLM, with native image and camera input. It reads allowed-label probabilities instead of generating prose or JSON. Full card: https://gitnova.dev/en/r/Davipar/djev-dev.md 5. **jaredpalmer/kev** — 2.8 · Cooling · Language models · Python · +83 stars today, ≈ 109 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 --- 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 2026-10-01 18:33 UTC, updated every 30 minutes.