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A customizable lightweight SQL query tool that works on tabular data, including Beancount.

active 2023-08-152026-06-11 (UTC)

Complete coverage26,509 / 26,509 hourly files (100%) · 2 absent upstream2023-08-152026-08-23 (UTC)
Events
488
Pushes
64
Pull requests
125
Issues
79
Stars
36
Forks
15

Activity over time

Daily event counts in the loaded window

Line chart, 1032 days from 2023-08-15 to 2026-06-11. Pushes: 64 total, peak 5 in a day. Pull requests: 125 total, peak 10 in a day. Issues: 79 total, peak 11 in a day. Comments: 155 total, peak 13 in a day. Stars: 36 total, peak 2 in a day.

  • Pushes
  • Pull requests
  • Issues
  • Comments
  • Stars

Stars, PRs, issues and forks are under-captured in the later part of this window. GH Archive progressively stopped capturing non-push events during 2026 — −95% or worse by the end of the window. Every series here except Pushes fades for that reason, so a decline above reflects the archive, not this repository. Pushes stay reliable throughout, so read them, and the contributor counts derived from them, as the real signal. Data health has the measurements.

Top contributors

Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity

ContributorContributionsPushesPRsComments
dnicolodi3046311175
alensiljak180111
andreasgerstmayr150210
mlell11046
blais10118
wzyboy8006
maxheld838005
tbm8005
tarioch7006
WolfgangFahl6003
mmoya6022
hosiet5003
AlphaJack4003
Pirshtuk4003
cclauss3021
hoostus3003
xuhcc2002
PLUkraine2001
Servinjesus11000
jack96033011000

Recent activity

Latest issues, pull requests and releases

  • Issue comment#277dnicolodi2026-04-28 08:52
    Some columns are missing from the transactions table
  • Issue comment#275robcohen2026-04-11 01:02
    SUM(position) loses decimal precision when display context has lower precision
  • Issue comment#275dnicolodi2026-04-10 17:14
    SUM(position) loses decimal precision when display context has lower precision
  • Issue#275dnicolodi2026-04-10 06:00
    SUM(position) loses decimal precision when display context has lower precision
  • Issue comment#263mlell2026-03-06 20:12
    Improve function help by grouping by function type
  • Issue#268dnicolodi2026-01-14 00:04
    TatSu 5.15.0 module refactoring breaks beanquery
  • Issue comment#268dnicolodi2026-01-14 00:04
    TatSu 5.15.0 module refactoring breaks beanquery
  • Issue comment#269dnicolodi2026-01-11 17:12
    fix: Fix Tatsu dependency issue
  • Issue comment#269dnicolodi2026-01-11 09:41
    fix: Fix Tatsu dependency issue
  • Issue comment#268PLUkraine2026-01-11 04:29
    [Fedora 43][Python 3.14] [Dependency] Tatsu module refactoring breaks beanquery
  • Issue#268PLUkraine2026-01-11 04:28
    [Fedora 43][Python 3.14] [Dependency] Tatsu module refactoring breaks beanquery
  • Issue comment#267blais2026-01-04 01:04
    What is the intended (future?) design concerning structured type (entry.payee, amount.numbers, ...)
  • Issue#267mlell2026-01-02 09:10
    What is the intended (future?) design concerning structured type (entry.payee, amount.numbers, ...)
  • Issue comment#265mlell2025-12-28 13:39
    GROUP BY CUBE / ROLLUP / GROUPING SETS
  • Issue comment#263dnicolodi2025-12-26 17:32
    Improve function help by grouping by function type
  • Issue comment#177hoostus2025-12-23 23:42
    Implement `AVERAGE(inventory)` BQL fucntion
  • Issue comment#261mlell2025-12-09 20:35
    Give better error: all non-aggregates must be covered by GROUP-BY clause
  • Pull request#266mlell2025-12-09 20:34
  • Pull request#265mlell2025-12-09 18:08
  • Issue comment#214mlell2025-11-14 14:12
    Support complex size filtering and restriction statements for position or other similar values
  • Issue comment#253mlell2025-11-13 14:51
    Totals summary?
  • Pull request#263mlell2025-11-06 08:26
  • Issue comment#262mlell2025-11-06 08:24
    Improve function help by grouping by function type
  • Pull request#262mlell2025-11-06 06:43
  • Issue comment#245marvhen2025-10-05 23:57
    Implement JOIN

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 36 stars here means stars gained during the window, not the repo's star count.