A fast, lightweight desktop client for MongoDB. Write queries in mongosh syntax, browse your data, and manage collections — without the bloat.
Built for developers who want speed and simplicity over a feature maze.
Inline ghost text suggestions powered by Ollama (local), OpenAI, or Claude. Write a comment and get the matching query.
VS Code's engine with JavaScript syntax highlighting, IntelliSense, and field autocomplete from your collections.
Cmd+Enter executes the statement under your cursor. Select text and run only that. Or run everything with one click.
Switch between result formats without re-running the query. Click any cell to copy its value to clipboard.
Passwords are stored in macOS Keychain, Windows DPAPI, or libsecret — never in plaintext files.
Open multiple scripts at once. Auto-saved on tab switch. Organized per connection in ~/.ferango/scripts/.
Right-click any collection: insert document, view stats, infer schema, list indexes, create or drop.
Sample N documents to detect field types and presence percentage — without ever writing a MapReduce.
Download query results as CSV or JSON with a single click from any view.
Toggle from the toolbar. Font size adjustable from 10 to 24px. Your eyes, your call.
Each tab keeps its own query results, pagination, and connection context. Switch freely without losing state.
Connections are verified and re-established automatically on tab switch and before query execution. No manual reconnect needed.
Your open tabs survive app restarts — exactly like DBeaver and Postman. Connection context is restored automatically.
Type db.getCollection(" and get collection name suggestions for the active database. Context-aware per tab.
Write queries exactly as you would in mongosh — BSON types and all.
Pre-built binaries available on GitHub Releases. No account required.
All releases are on
GitHub Releases.
macOS note: if Gatekeeper blocks the app, run xattr -cr /Applications/Ferango.app.
Native performance with a modern web frontend.
Ferango is free and open source. If it saves you time, consider buying me a coffee.