Observed since 20 Oct, 17:11 UTC
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A keyboard-first statistics and data-science workstation: a scriptable spreadsheet with built-in statistics, analysis, and visualization.
A keyboard-first statistics and data-science workstation — an integrated environment for data work, built on a fast, scriptable spreadsheet. Load a dataset, explore it with 642 formula functions (statistics and distributions, financial, engineering, database, and RF/amateur-radio), run built-in analyses (regression, t-tests, ANOVA, correlation), reshape it with pivot/group-by and recode, visualize it, hand a selection off to pandas, and script the whole thing with Python macros — across CSV, Excel, Parquet, SQLite, JSON, R, and more.
It runs as a Qt desktop GUI (the default), a vim-style terminal UI, or a headless CLI. The core is pure-stdlib Python; every heavier capability is an optional dependency with a graceful fallback. When a behaviour is ambiguous, abax follows gnumeric.
One isolated install with every optional feature:
pipx install "abax[all]" # or: pip install "abax[all]" in a venv
abax # the desktop GUI
abax tui # the vim-style terminal UI (SSH-friendly)
abax view data.csv # headless: print any spreadsheet as a table
Prefer to start small? Plain pip install abax gives the stdlib-only core,
and on first launch the GUI shows a chooser where you pick optional
features à la carte — nothing installs without your say-so. No Python?
Every GitHub Release ships
ready-to-run downloads: a Linux AppImage, a self-contained Windows build, a
macOS app, and a tiny cross-platform abax.pyz zipapp. Full install details
(extras, sizes, the Qt binding) live in
Getting started.
Your first minute in the GUI:
h j k l works too); just type into a cell and
press Enter.=SUM(A1:A5) — anything starting with = computes, with
autocomplete and argument hints as you go.Ctrl+Shift+P (or :) opens the command palette — every action lives
there. F1 lists the shortcuts.Ctrl+S saves — .abax, .csv, .xlsx, .md, whatever the
extension says.Where next: tested, copy-paste examples for most of abax · the full online documentation.
=SUM(A1:A10) =VLOOKUP("banana", A1:B9, 2, FALSE)
=PERCENTILE(A1:A99, 0.9) =IFS(s>=90,"A", s>=80,"B", TRUE,"F")
=SORT(UNIQUE(B:B)) =FILTER(A1:A9, B1:B9>0)
Array results spill across neighbouring cells Excel-style; errors are
values (#DIV/0!, #REF!, #CIRC!, …), never crashes; LET and LAMBDA
work. The complete function list is in the
formula reference.
Each guide below links to a tested, runnable example.
.ipynb (lossless round-trip), and more;
abax convert a.csv b.xlsx converts between any pair.just install # dev setup
just test # tests (pass with zero optional deps)
just check # lint + test + pyz + smoke
See docs/architecture.md for the layered design and its invariants. abax is free software, licensed GPL-3.0-or-later.
Download counts and popularity will appear here as the collector receives them.
| Version | Published | Direct dependencies | Open version |
|---|---|---|---|
| 0.1.20 | 11 Aug 2026 | 40 |
This describes our collected data; it is not a security assessment.
Observed since 20 Oct, 17:11 UTC
No superseded metadata states collected. Unchanged observations do not create new revisions.
package:fa7778d54b13f3097eb4c0ea2f6cc1c75a6dd46754e017d665c8bfe0d7d177bd