Alephgrid

Open a CSV or Parquet file with tens of millions of rows, then scroll, sort, filter, edit and add calculated columns in your browser. Next to those big tables, build ordinary sheets with formatting, charts and Excel formulas such as XLOOKUP and SUMIFS, and point those formulas straight at the big tables. Everything runs on a DuckDB file on your machine. There are no seats, tiers or paywalls: export, sign-in, teams and every other feature are free.

npx alephgrid flights.parquet      # npm: opens http://127.0.0.1:7878 with the file loaded
uvx alephgrid --demo-rows 10000000 # PyPI: or try it on 10M generated rows
docker run -p 7878:7878 -v alephgrid-data:/data ghcr.io/alephgrid/alephgrid:0.1.0

Sheets with Excel formulas that read whole tables	Pivots and charts from the Analyze pane, no SQL
SQL when you want it, docked under the grid (dark theme)	Imports reviewed column by column before they commit
Your own functions in a side panel: code, tests, docs and versions	The hub: every workbook, its size and whether its compute is running

v0.1.0, the first release, is out (9 November 2026): binaries for Linux and macOS, npm and PyPI packages, and a Docker image. See the release and what is shipped and what is not.

Why Alephgrid

• Big tables stay fast. Opening a workbook reads nothing into memory. The grid asks only for the rows on screen, so scrolling to row 900,000,000 is a range read. Sorts build a permutation, not a copy; calculated columns are computed only for the rows you look at.
• A real spreadsheet next to them. Sheets use Excel syntax and an Excel-compatible engine (IronCalc), with formatting, merged cells, frozen panes, charts, colour rules, comments and XLSX import and export.
• Spreadsheet formulas over big tables. =XLOOKUP(A2, customers[id], customers[region]) and =SUMIFS(orders[amount], orders[region], A2) in a sheet cell run as one query over the whole table, not one lookup per row. See table formulas.
• No SQL required, SQL available. Filters, pivots, joins and charts work without writing SQL; the SQL workspace stays closed until you open it, and a server can turn it off.
• Yours to run. One binary with the UI embedded, data in a plain directory, Apache-2.0. Teams get spaces, roles, single sign-on, audit, quotas and backups in the same binary.
• Agents through MCP. Give an AI agent read access to a workbook's tables, sheets and saved queries over the Model Context Protocol, with a receipt for every result.

This is the beginning of the README. Read the rest at the original. Read the full README ↗