gsbparse

A Python library for parsing Grisbi .gsb accounting files into typed domain objects, with an optional pandas adapter for DataFrame output.

Documentation: gsbparse.readthedocs.io

Installation

pip install gsbparse

Or with uv:

uv add gsbparse

Requires Python 3.13+.

Quickstart

Read a file

import gsbparse

gsb = gsbparse.read_gsb("my_accounts.gsb")

Inspect typed sections

>>> gsb.currencies
[Currency(Nb=1, Na='Euro', Co='€', Ico='EUR', Fl=2), Currency(Nb=2, Na='US Dollar', Co='$', Ico='USD', Fl=2)]

>>> for account in gsb.accounts:
...     print(account.Number, account.Name)
1 Checking
2 Savings

Detailed transactions (foreign keys resolved)

>>> tx = gsb.detailed_transactions[0]
>>> tx.Dt
datetime.date(2024, 1, 5)
>>> tx.Am
Decimal('-42.50')
>>> tx.Ac.Name
'Checking'
>>> tx.Pa.Na
'Supermarket'

Convert to pandas DataFrame

>>> from gsbparse.pandas import to_df
>>> to_df(gsb.currencies)
   Nb         Na Co  Ico  Fl
0   1       Euro  €  EUR   2
1   2  US Dollar  $  USD   2

Custom column projection:

>>> from gsbparse import DetailedTransactionColumn
>>> columns = [
...     DetailedTransactionColumn(path="Dt",      output_name="date"),
...     DetailedTransactionColumn(path="Am",      output_name="amount"),
...     DetailedTransactionColumn(path="Ac.Name", output_name="account"),
...     DetailedTransactionColumn(path="Pa.Na",   output_name="party"),
...     DetailedTransactionColumn(path="Ca.Na",   output_name="category"),
... ]
>>> to_df(gsb.detailed_transactions, columns=columns)
         date   amount   account        party category
0  2024-01-05   -42.50  Checking  Supermarket     Food
1  2024-01-31  2500.00  Checking     Employer   Income

See the full quickstart and API reference on Read the Docs.

Development

git clone https://github.com/etnbsd/gsbparse.git
cd gsbparse
uv sync --dev
pre-commit install

Common commands (via make):

Contributing

1. Fork the repo and create a short-lived branch.
2. Follow Conventional Commits — enforced by pre-commit.
3. Open a pull request against main.