Privacy Policy

Last updated: 2026-07-28

DataCharter is a local-first, open-source (Apache-2.0) tool. It runs entirely on your own machine. This policy explains what happens to your data — the short version is: nothing leaves your control.

Data collection

DataCharter does not collect, transmit, or store your data, queries, schemas, credentials, or usage. There is no telemetry, no analytics, no crash reporting, no account system, and no server operated by the DataCharter project.

How your data is used

• DataCharter reads only the data sources you declare in your charter.yaml, and only to answer the queries you — or an AI agent you connect — run.
• Your data and query results stay on your machine, except when sent to a data source you configured (e.g. your own database) or to a third-party model provider you explicitly enable (see below).
• Credentials are read from your local environment / .env, are never logged, and are scrubbed from error messages.

Third-party model providers

If you enable DataCharter’s AI-agent features with a third-party LLM (for example via OPENAI_BASE_URL, a local model, or a Claude Code subscription), the prompts and query results DataCharter sends to that model are governed by that provider’s privacy policy. DataCharter’s PII masking limits what leaves your machine, and you choose which provider (if any) to use.

Data storage and retention

DataCharter stores only what you create locally — your charter.yaml, any local snapshots, and query history if you use it. These live on your machine and are deleted when you delete them. The project retains nothing.

Third-party sharing

The DataCharter project neither receives nor shares any of your data. There is nothing for us to share.

Contact

Questions or concerns: open an issue at https://github.com/datacharter/datacharter/issues.