gsab 0.4.1

Google Sheets as a Backend — a database-like interface for Google Sheets.

GSAB — Google Sheets as a Backend

A database-like interface for Google Sheets — schemas, validation, field encryption, async CRUD, server-side queries, and a friction-free CLI. Sign in once; no Google Cloud setup required.

🌐 gsab.ajmalaksar.com  ·  📖 Docs  ·  🗺️ Roadmap

Install

pip install gsab          # core
pip install "gsab[pandas]"  # + DataFrame support

Get started

gsab auth login           # browser sign-in (drive.file scope) — that's the whole setup

Then define a schema and read/write your sheet. Full usage, examples and the API → the documentation.

Features

• Friction-free auth — gsab auth login opens a browser and uses the minimal drive.file scope. No Cloud project, no JSON keys. DIY modes cover existing sheets, your own OAuth client, gcloud, and service accounts.
• Schemas & validation — typed fields, rules and uniqueness, enforced on every write.
• Field encryption — flag a field encrypted=True and it's sealed before it reaches the sheet.
• Async CRUD + rich filters — insert / read / update / delete with $gt / $in / $contains / $regex and more.
• Server-side queries — query() runs the Google Visualization query language (filter, sort, aggregate) on Google's side, not in Python. Values come back type-correct.
• pandas bridge — to_dataframe() / from_dataframe() and bulk_insert() for the whole analytics ecosystem.
• Native charts — chart() embeds a Google chart in the sheet; or hand to_dataframe() to matplotlib/Plotly.
• Actionable errors — Google API errors become clear GSAB exceptions with retry/backoff and token refresh — readable by humans and LLM agents.
• Installable agent skills — gsab skill install drops GSAB skills into .claude/skills (or --portable for any LLM) so your coding agent knows the real API.
• Secure tokens — stored in your OS keychain (keyring), with a 0600-file fallback.

Roadmap

Shipped (v0.4.0): auth + CLI · schemas, validation & encryption · async CRUD · type-correct server-side query · pandas bridge + bulk insert · native in-sheet charts · LLM-friendly errors + retry/backoff · installable agent skills · keychain storage.

Coming next: MCP server (use your sheets from Claude) · terminal UI · real-time / reactive mode · server-side date filters · one-click hosted sign-in.

Full roadmap with per-feature stability (and what's deliberately out of scope) → ROADMAP.md. Live summary → gsab.ajmalaksar.com/#roadmap.

Releases

Versioned with SemVer; see CHANGELOG.md. Tagged releases (vX.Y.Z) publish to PyPI automatically via GitHub Actions.

License

MIT — see LICENSE.md. GSAB is an independent project, not affiliated with Google LLC.