# ruc-datalab/EvoOntology

> A self-evolving ontology layer for data agents: a Claude Code and Codex plugin that builds and evolves a semantic ontology over tables, files, and databases via MCP tools.

- Magnitude: 1.5 out of 10 — Cooling
- Stars: 563 total · +0 stars on 2026-10-02 (UTC), ≈ 14 by evening
- Star trust: star growth looks organic
- Category: AI agents · Language: Python · License: MIT · Created: 2026-09-15 · Last push: 2026-09-29
- GitHub: https://github.com/ruc-datalab/EvoOntology · Page: https://gitnova.dev/en/r/ruc-datalab/EvoOntology

## Useful for

- Build an ontology over a set of tables and databases so the agent understands metrics and entity relations
- Connect the browse_semantics and resolve_semantics MCP tools to Claude Code for data analysis
- Run ontology evolution over interaction history and compare Candidate vs Parent on metrics

## Why it’s here

- 0 stars so far today, about 14 expected by the end of the day.
- Interest is fading: the two-day pace is 41% of the previous week and a half.
- The repository is 17 days old and already has 563 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: 45
- Issues and pull requests: 5
- Watchers: 10
- Average over the last week: 24 per day
- Usual pace: 26 per day

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

2026-10-05 … 2026-11-03: None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None

## Magnitude by day, last 14 days

09-19 4.4, 09-20 3.3, 09-21 3.6, 09-22 4.1, 09-23 3.4, 09-24 2.1, 09-25 1.7, 09-26 1.4, 09-27 1.6, 09-28 2.4, 09-29 2.4, 09-30 1.9, 10-01 1.6, 10-02 1.5

---

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 2026-10-02 00:11 UTC, updated every 30 minutes.