AI Analyst for GitHub Public Data
Connect any public GitHub raw URL or repo path, get a shareable dashboard with AI-generated charts and insights in seconds.
What you can analyze from GitHub Public
Sreniq treats your GitHub Public public CSV or JSON as a normalised tabular dataset and lets you ask questions in plain English. Typical sources our customers connect from GitHub Public:
- open datasets published to public GitHub repos
- research CSVs and benchmark dumps from any organisation
- publicly versioned reference tables (currency, timezone, ISO codes)
- open source experiment logs and evaluation results
- any CSV or JSON shared via a raw.githubusercontent.com link
How to connect GitHub Public to Sreniq
GitHub Public does not require OAuth. You provide a URL or API key, Sreniq validates it against a strict allowlist, and analysis begins immediately.
Find the file on GitHub
Open the file in your browser at github.com or jump straight to its raw URL on raw.githubusercontent.com. No GitHub account is required — Sreniq treats this as an unauthenticated fetch.
Paste owner/repo or raw URL
Sreniq accepts either an 'owner/repo' shorthand (it walks the tree for the first .csv) or 'owner/repo/path/to/file.ext' for a specific file. Owner and repo names are validated against a strict character set to prevent URL injection.
Sreniq downloads + parses
The fetch is capped at 25 MB and goes through SafeFetch with a .github.com / .githubusercontent.com host allowlist. CSV is parsed with the shared RFC 4180 parser; JSON is decoded directly.
Chat with the data
Once parsed, ask questions about trends, outliers, breakdowns — Sreniq generates charts, tables, and a narrative summary you can publish.
Example questions you can ask
Once your GitHub Public data is in Sreniq, you chat with it. Sreniq generates the right chart, table, or narrative for each question — you do not need to pick a visualisation first.
- “Visualise this open dataset's distribution and call out anything anomalous.”
- “Compare yearly trends in this public CSV and write a short summary.”
- “Build a chart of country-level values from this reference table.”
- “Group rows by category and rank them by total — show the top 10.”
- “Plot the time-series in this raw file and identify seasonality.”
What you get
- Auto-generated charts (line, bar, area, donut, table) sized for the question you asked
- AI-written narrative — what the data says, not just how it looks
- Key takeaways pulled out as headline insights
- A public, shareable link you can send to teammates or embed
- Light + dark themes and mobile-responsive output by default
- All data stays in your session — Sreniq does not retain raw rows
Privacy and permissions
No authentication is sent — only public files are accessible. Owner and repo names are validated with a strict regex (no special URL characters), and all upstream fetches enforce a host allowlist to defeat SSRF and redirect-rebind attacks. Every upstream call goes through Sreniq's SafeFetch helper, which enforces a strict host allowlist, hard size caps, and per-hop redirect re-validation to defeat SSRF and redirect-rebind attacks. Sreniq does not sell or share your data with third parties.
Frequently asked questions
Do I need a GitHub account?
What if the file is private?
What formats work?
Is the integration safe?
Other integrations
Ready to analyze your GitHub Public data?
Connect GitHub Public, ask a question, get a shareable AI dashboard. Free to try — no credit card.