# NVIDIA/auto-ontology

> NVIDIA's Python framework that builds a semantic ontology graph over enterprise metadata, giving LLM agents trusted metric and entity definitions for reliable text-to-SQL.

- Magnitude: 4.4 out of 10 — Early signal
- Stars: 248 total · +7 stars measured 2026-10-27, 11:41–13:23 UTC, ≈ 21 by evening
- Star trust: star growth looks organic
- Category: Language models · Language: Python · License: Apache-2.0 · Created: 2026-04-27 · Last push: 2026-10-27
- GitHub: https://github.com/NVIDIA/auto-ontology · Page: https://gitnova.dev/en/r/NVIDIA/auto-ontology

## Useful for

- Deploy the local stack via Docker Compose and connect a Databricks or Snowflake database for NL queries
- Generate an ontology from metadata and reconcile conflicting metric definitions across systems
- Serve context to agents via MCP, CLI or API with queries validated against certified definitions

## Why it’s here

- Star-counter measurements on 2026-10-27 (UTC), 11:41–13:23: 241 → 248 stars (+7). This is the change over that interval.
- Estimated end-of-day forecast: about +21 stars, using observed gains and the previous day.
- Over the last two days the pace is 5.8× that of the previous week and a half.
- Elevated gains were measured on the last 3 completed UTC days in a row. Continued growth is not guaranteed.
- GitHub Trending Python today: #14, +75 stars.
- About 10 forks a day — people are taking the code.
- Recent forks include notable developers: @webclinic017 (354 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: 34
- Issues and pull requests: 391
- Watchers: 5
- Average over the last week: 28 per day
- Usual pace: 1 per day
- Stars in the last hour (measured): 5

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

2026-09-28 … 2026-10-27: 0, 1, 0, 0, 0, 0, 1, 6, 1, 0, 2, 3, 0, 3, 3, 1, 2, 1, 0, 0, 1, 3, 2, 14, 9, 20, 27, 46, 62, 7

## Spotted in now

- GitHub Trending Python today: #14, +75 stars

## More in this category

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   Full card: https://gitnova.dev/en/r/lyramakesmusic/neuron-explorer.md
2. **deepseek-ai/DeepInfer** — 6.2 · Cooling · Language models · Python · +276 stars measured 2026-10-27, 00:34–13:22 UTC, ≈ 492 by evening
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   Full card: https://gitnova.dev/en/r/deepseek-ai/DeepInfer.md
3. **baidu/Unlimited-OCR** — 5.8 · Breakout · Language models · Python · +421 stars measured 2026-10-27, 00:35–13:22 UTC, ≈ 657 by evening
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   Full card: https://gitnova.dev/en/r/baidu/Unlimited-OCR.md
4. **togg53192-cmd/jailbreaks** — 5.6 · Breakout · Language models · +104 stars measured 2026-10-27, 11:41–13:22 UTC, ≈ 305 by evening
   A collection of 31 system prompts, persona locks, and AGENTS.md files for 25+ models (Claude, Gemini, Grok, GLM, DeepSeek, Kimi, Qwen, Gemma, GPT-OSS). Intended for research on how instruction hierarchies and policy overrides affect model…
   Full card: https://gitnova.dev/en/r/togg53192-cmd/jailbreaks.md
5. **Niko1221/Strata** — 4.9 · Steady · Language models · C++ · +520 stars measured 2026-10-27, 00:34–13:23 UTC, ≈ 925 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 2026-10-27 13:44 UTC, updated every 30 minutes.