# LogneBudo/llmxray

> A local observability interface for Ollama: chat with token streaming, response quality analysis, performance profiling, RAG, and cost tracking — no cloud, no API keys.

- Magnitude: 1.5 out of 10 — Steady
- Stars: 22 total · +0 stars measured 2026-10-12, 16:35–18:16 UTC, ≈ 0 by evening
- Star trust: star growth looks organic
- Category: Language models · Language: Vue · License: Apache-2.0 · Created: 2026-03-11 · Last push: 2026-10-12
- GitHub: https://github.com/LogneBudo/llmxray · Homepage: https://lognebudo.github.io/llmxray/ · Page: https://gitnova.dev/en/r/LogneBudo/llmxray

## Useful for

- Run npx llmxray and watch per-token speed and confidence while chatting with a local model
- Compare the same prompt across two models or temperatures side by side in the Model Comparison Workbench
- Point VS Code Copilot or Open WebUI at port 11435 to inspect every turn they send to Ollama

## Why it’s here

- Star-counter measurements on 2026-10-12 (UTC), 16:35–18:16: 22 → 22 stars (+0). This is the change over that interval.
- Hacker News: “Show HN: LLMxRay an open-source observability tool for LLMs” — 10 points, 21 h ago.

## 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: 2
- Issues and pull requests: 0
- Watchers: 0
- Average over the last week: 1 per day
- Usual pace: 0 per day
- Stars in the last hour (measured): 0
- Latest release: v0.7.2 (2026-10-12)

## Stars per day, last 30 days (oldest → newest, today is partial)

2026-09-13 … 2026-10-12: 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 0, 1, 1, 1, 0, 0, 0, 0, 0, 0, 6, 0

## Hacker News

- Show HN: LLMxRay an open-source observability tool for LLMs — 10 points, 0 comments: https://news.ycombinator.com/item?id=50047905

## Spotted in now

- Spotted on Hacker News

## More in this category

1. **lyogavin/airllm** — 7.3 · Breakout · Language models · Jupyter Notebook · +835 stars measured 2026-10-12, 00:13–18:07 UTC, ≈ 1,074 by evening
   A library for inference and training of large language models on low-VRAM GPUs: it streams weights layer by layer from disk, letting 70B–671B models run on 4–12 GB of VRAM without quantization or distillation.
   Full card: https://gitnova.dev/en/r/lyogavin/airllm.md
2. **pytorch/pytorch** — 6.7 · Breakout · Language models · Python · +251 stars measured 2026-10-12, 00:13–18:07 UTC, ≈ 334 by evening
   PyTorch is a library for tensor computation with strong GPU acceleration and dynamic neural networks built on tape-based autograd. It is used as a GPU-ready NumPy replacement and as a deep learning research platform.
   Full card: https://gitnova.dev/en/r/pytorch/pytorch.md
3. **mw00/project-maya** — 6.0 · Early signal · Language models · C++ · +151 stars measured 2026-10-12, 00:13–18:07 UTC, ≈ 197 by evening
   Local engine, server and dashboard to run the 321B MoE model GLM-5.3-Flash on one or two NVIDIA GPUs, offloading experts to RAM and NVMe.
   Full card: https://gitnova.dev/en/r/mw00/project-maya.md
4. **microsoft/BitNet** — 5.7 · Breakout · Language models · C++ · +122 stars measured 2026-10-12, 00:13–18:07 UTC, ≈ 157 by evening
   Official inference framework for 1-bit LLMs (BitNet b1.58) with optimized kernels for CPU and GPU. Runs ternary models fast and losslessly, including a 100B model on a single CPU.
   Full card: https://gitnova.dev/en/r/microsoft/BitNet.md
5. **Niko1221/Strata** — 5.0 · Steady · Language models · C++ · +973 stars measured 2026-10-12, 00:13–18:07 UTC, ≈ 1,259 by evening
   A C++ local inference engine that runs the 125B MoE model Qwen3.8-Flash-Next on a regular PC with one NVIDIA GPU (12-24 GB) and 64 GB RAM, exposing an OpenAI/Anthropic-compatible API on localhost.
   Full card: https://gitnova.dev/en/r/Niko1221/Strata.md

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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 2026-10-12 18:22 UTC, updated every 30 minutes.