GitHub-assistant – Natural language questions from your GitHub data
Simon(sfarshid) and I spend a lot of time on GitHub. As data nerds we put together a quick tool to explore your repository’s data. How it works: - Data Loading: We use dlt to pull data (issues, PRs, commits, stars) from GitHub - Semantic Layer: Relta wraps the underlying dataset into a semantic layer so the LLM doesn’t hallucinate. - Text-to-SQL: A text-to-SQL agent transforms your plain-English question into a query using the semantic layer - Generative Charts: assistant-ui dynamically generates a chart based on the SQL query - Refinements: If the semantic layer can’t handle your question,…
In plain words
GitHub-assistant lets users ask natural language questions about their repository data, including issues, pull requests, commits, and stars. The tool converts plain-English queries into SQL using a semantic layer to prevent inaccuracies, then displays results as dynamic charts. Built for developers and data analysts who want to explore GitHub repository metrics without writing code, it includes automatic refinement capabilities that submit improvements to the semantic layer via pull requests.
written from the facts on this page · September 2026
From the sources
In the maker’s words, at launch
Simon(sfarshid) and I spend a lot of time on GitHub. As data nerds we put together a quick tool to explore your repository’s data. How it works: - Data Loading: We use dlt to pull data (issues, PRs, commits, stars) from GitHub - Semantic Layer: Relta wraps the underlying dataset into a semantic layer so the LLM doesn’t hallucinate. - Text-to-SQL: A text-to-SQL agent transforms your plain-English question into a query using the semantic layer - Generative Charts: assistant-ui dynamically generates a chart based on the SQL query - Refinements: If the semantic layer can’t handle your question, our agent submits semantic layer improvements via pull requests Hosted version: https://github-assistant.com Demo Video: https://youtu.be/ATaf98nID5c Check out the repo + hosted version and let us know what you think.
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