{"repo":"hfmsio/dbxlite","free":true,"listed":false,"github":"https://github.com/hfmsio/dbxlite","clone":"git clone https://github.com/hfmsio/dbxlite.git","description":"Open-source SQL workbench powered by DuckDB. Query local files, BigQuery, and Snowflake right in your browser. Drop-in UI for duckdb -ui. AI SQL assistant included.","language":"TypeScript","stars":82,"topics":["ai-assistant","bigquery","browser-based","data-analysis","duckdb","duckdb-wasm","parquet","snowflake","sql","sql-editor"],"license":"MIT","category":"databases-storage","readme_excerpt":"dbxlite A SQL workbench that handles real data, in your browser. WASM mode reads local files through File System Access handles on demand instead of loading them into RAM, so you can query files larger than browser memory. The result grid streams arbitrarily large sets via virtual scrolling. One UI for DuckDB, BigQuery, and Snowflake. Server mode is a drop-in replacement for duckdb -ui . Try it now (no install): sql.dbxlite.com Highlights - Files larger than RAM in WASM mode. DuckDB reads local files through File System Access handles on demand (Parquet by range reads) instead of loading them into memory, so multi-gigabyte CSV / Parquet / JSON files open without hitting the 2-4 GB browser RAM ceiling. The database itself is in-memory, so CREATE TABLE results are session-only. - Virtual-scrolled result grid. Streams arbitrarily large result sets without freezing the renderer. - One UI for three engines. DuckDB, BigQuery, and Snowflake share the same explorer, query editor, grid, and export flow. The Snowflake explorer mirrors Snowsight (databases, schemas, tables, column preview, compute status, query history). - Server mode is a drop-in for duckdb -ui . Run dbxlite as the UI for your local DuckDB CLI. Full extensions, unlimited memory, direct filesystem access. - Cross-engine Parquet export. Pull data out of BigQuery or Snowflake into a portable Parquet file. Same export path for every engine. - Excel sheets as first-class. Multi-sheet .xlsx files appear in the explorer with ","default_branch":null,"files":null,"tree":[],"storefront":"/r/hfmsio","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/hfmsio/dbxlite/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}