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adept
full-fledged-hledger
Haskell2018–2026
adept / full-fledged-hledger

full-fledged-hledger

Tutorial on Hledger setup with multi-year files, multi-source imports and a range of auto-generated reports

5Distinct people
6Mentions
1Explicit recommenders
582GitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

Tutorial on Hledger setup with multi-year files, multi-source imports and a range of auto-generated reports

GitHub

Where it is used

No documented product use has been verified yet.

What people are saying

My partner and I have been tracking all our spending for the last five years with hledger (ledger reimplemented in haskell) and some custom import and management scripts…

cproctor used a recommendation phrase. One indexed comment matches. This is a phrase match, not a verdict.

No classified warning is attached to this page. Read the discussions before treating silence as approval.

Also in these discussions

No other repository is repeatedly linked in the same discussions.

This week on Hacker News

Nov 8–Nov 15 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/15/2026, 10:01:16 PM UTC.

No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.

Mentions over time

HN mentions by year6 dated mentions

Observed mentions: 2018-04-17 17:14:48 UTC to 2026-01-02 14:37:13 UTC.

0122018-01-01 00:00:00 UTC to 2019-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments20182019-01-01 00:00:00 UTC to 2020-01-01 00:00:00 UTC (exclusive): 2 mentions; 1 submissions, 1 comments2020-01-01 00:00:00 UTC to 2021-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2021-01-01 00:00:00 UTC to 2022-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2022-01-01 00:00:00 UTC to 2023-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments20222023-01-01 00:00:00 UTC to 2024-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-01-01 00:00:00 UTC to 2025-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-01-01 00:00:00 UTC to 2026-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2026-01-01 00:00:00 UTC to 2027-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments. Incomplete calendar period.2026*

* An incomplete calendar period is marked with an outlined bar. Its count is not directly comparable with a full period.

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

View mention counts and date ranges
UTC ranges include their start and exclude their end. Select a period to filter the source evidence.
PeriodStart (UTC)End (exclusive, UTC)MentionsSubmissionsComments
20182018-01-01 00:00:00 UTC2019-01-01 00:00:00 UTC101
20192019-01-01 00:00:00 UTC2020-01-01 00:00:00 UTC211
20202020-01-01 00:00:00 UTC2021-01-01 00:00:00 UTC101
20212021-01-01 00:00:00 UTC2022-01-01 00:00:00 UTC000
20222022-01-01 00:00:00 UTC2023-01-01 00:00:00 UTC000
20232023-01-01 00:00:00 UTC2024-01-01 00:00:00 UTC000
20242024-01-01 00:00:00 UTC2025-01-01 00:00:00 UTC000
20252025-01-01 00:00:00 UTC2026-01-01 00:00:00 UTC101
2026 (partial)2026-01-01 00:00:00 UTC2027-01-01 00:00:00 UTC101

What Hacker News says

1 sources
I've tried to track personal finances several times, but it only started to work when I've discovered the idea (from https://github.com/adept/full-fledged-hledger) that you need to treat the whole PTA story more like a project compilation: - Everything is managed by build system that is able to track dependencies - Inputs from financial institutions are kept in the repo as is - Those inputs are converted by your scripts to .csv files that are readable by PTA import engine - There are rules files that describe how to convert .csv lines to PTA entries - Generated files are included from per-year PTA journals (and you can put any manual transactions in here also) The benefit is that you can change any part of this pipeline, and just re-generate the changed parts: - improve the program that converts to .csv - raw data immediately gets better
Read the rest
across the whole repo - add/customize import rules - better classification is immediately applied to all of the past data And with this approach you can start small (like, a single month of data from your primary bank), and refine the thing in steps, like adding more historical data or adding more data sources (examples being not only bank statements, but even things like itemized Amazon orders and Paypal slips).
In 10 years of personal finances in plain text files

MAKE YOURSELF AT HOME

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