pybudgetbook

Organize and sort your receipts locally, use pandas power to analyze your expenses! But why? There are tons of Apps out there scanning and even some for receipts. Some of them might even be more general or better at parsing. Sure, but here are the core reasons why I built this app. If they are important to you, give it a try (and help to support more receipts)!

Reason 1: Data Privacy

Your receipts combined with some personal data are a pretty good estimator on where you are and what you are doing. I prefer to keep that data locally. This software will never access and send any of that data since it runs locally.

Reason 2: Adaptability

Receipts differ for region and even for supermarkets. Here, some of the more common german stores are included. If something does not work, add your own reader / parser!

Reason 3: Data Analysis

The data is saved in hdf-files for pandas and can be easily exported to csv or any other format manually. So analysis is not limited to the few plots available (even though the initial version has some important ones). You can easily load all your data using a simple one-liner and run all the analysis you want. If you find anything particular useful, let me know and I can implement that.

Full Readme and Code on Github!

Uses some icons from Yusuke Kamiyamane

Some emojis / icons designed by OpenMoji – the open-source emoji and icon project. License: CC BY-SA 4.0