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beancount
fava
Python2017–2025
beancount / fava

fava

Fava - web interface for Beancount

10Distinct people
11Mentions
0Explicit recommenders
2.6KGitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

Fava - web interface for Beancount

GitHub

Where it is used

No documented product use has been verified yet.

What people are saying

No recommendation phrase was found in the indexed comments.

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

Also in these discussions

Mentioned in the same Hacker News threads. That is not proof they are substitutes.

This week on Hacker News

Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 3:56:07 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 year11 dated mentions

Observed mentions: 2017-02-05 06:52:32 UTC to 2025-11-22 01:44:25 UTC.

012342017-01-01 00:00:00 UTC to 2018-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments20172018-01-01 00:00:00 UTC to 2019-01-01 00:00:00 UTC (exclusive): 4 mentions; 1 submissions, 3 comments2019-01-01 00:00:00 UTC to 2020-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2020-01-01 00:00:00 UTC to 2021-01-01 00:00:00 UTC (exclusive): 2 mentions; 0 submissions, 2 comments2021-01-01 00:00:00 UTC to 2022-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments20212022-01-01 00:00:00 UTC to 2023-01-01 00:00:00 UTC (exclusive): 2 mentions; 0 submissions, 2 comments2023-01-01 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 comments2025

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
20172017-01-01 00:00:00 UTC2018-01-01 00:00:00 UTC101
20182018-01-01 00:00:00 UTC2019-01-01 00:00:00 UTC413
20192019-01-01 00:00:00 UTC2020-01-01 00:00:00 UTC101
20202020-01-01 00:00:00 UTC2021-01-01 00:00:00 UTC202
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 UTC202
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

What Hacker News says

11 sources
I manage all of my finances with Beancount (https://github.com/beancount/beancount). It has a native document store and I primarily use it to archive all of my statements to share with my accountants via Fava (https://github.com/beancount/fava). It’s not pretty, but it’s all in one (local) git repo. Language models are great at turning those statements into Beancount postings and fixing errors, but the local ones not so much yet.
In Show HN: Wealthfolio 2.0- Open source investment tracker. Now Mobile and Docker
If you like this you will also like beancount[1] and fava [2]. The author of beancount initially started using ledger-cli and than to have a better adherence to accounting developed beancount in Python. Beancount has similar file format as ledger-cli with few modifications and can attach documents and metadata to entries. Also web interface fava provides a beautiful interface to it. [1] https://github.com/beancount/beancount [2] https://github.com/beancount/fava
In The Double-Entry Counting Method (2016)
I've used GnuCash for years before switching to beancount (https://bitbucket.org/blais/beancount/ with smart_importer: https://github.com/beancount/smart_importer) and fava (https://github.com/beancount/fava/). Much easier to work on your journals (ledger, trades, prices...) since they are just text files. Really great if you're using the beancount package for Sublime: https://packagecontrol.io/packages/Beancount. More importantly, the importers (for all my banks and financial services) let me import and reconcile all transactions, but also archive all documents (including PDF, text files, etc) in one, well organized directory: each file is saved into a folder that corresponds to my account structure such as Asset:Current:Cash, Liability:Mortgage, Income:Salary, Expenses:Health:Dentist. It's great to rely on fava (example: https://fava.py
Read the rest
thonanywhere.com/example-beancount-file/incom...) to check your accounting (with all files listed in the journal by date, with tags and links and other neat features) and still be able to browse documents in your file browser.
In Simple Personal Finance Tracking with GnuCash
Yeah, I've particularly liked the approach suggested by Beancount - you in some ways treat your finances like a software project - meaning you keep the plain text ledger file, importers, and documents structured and all in a git repository. The repo gives you a feedback loop of how often you're keeping up with your finances. Plus, recategorizing/restructuring things The learning/migration curve is hard. But eventually you get rewarded once all the data is in and can leverage web-based frontends like fava https://github.com/beancount/fava to visualize and filter things. Or just write your own script for a custom report. Other notes: - It took me about a year from committing to organize my finances this way to now having a regular import-review-commit workflow. Your situation may vary but it took me a while since I didn't organize finances
Read the rest
at all before aside from earlier attempts of using mint. Beancounts documentation ( https://docs.google.com/document/d/1RaondTJCS_IUPBHFNdT8oqFK... ) is great but is dense and spread out a bit, thankfully their email list ( https://groups.google.com/forum/#!forum/beancount ) is pretty active and helpful. - The ledger file will get big, but it's easier than having multiple files. Use syntax highlighting & more importantly code folding. And no you don't have to be an emacs/vim nerd to do this (i'm using sublime FWIW). - There's migrators from mint/etc. but those aren't perfect because the data from mint isn't always perfect. I went through the exercise of categorizing many transactions from earlier years. It's a masochistic option but really wanted some historical data. Ultimately you'll find yourself refactoring/re-categorizing things over time, and because it's in a git repo you won't be afraid to be ruthless about this. - Writing your own importers is part of the learning curve. You might find some odd ones on github but you ultimately want to write your own - the examples in beancount's source code are a good starting point. You don't have to do it for everything, just the ones that are too unwieldy for tracking manual transactions. - I'm still wrapping my head around how to leverage beancount to function as a budgeting / forecasting tool. Several friends use YNAB (there's also financier.io) instead for those needs.
In Using GnuCash as a Freelancer to Track Finances and Prepare Taxes

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