ofxtools is a Python library for working with Open Financial Exchange (OFX) data - the standard format for downloading financial information from banks and stockbrokers. OFX data is widely provided by financial institutions so that their customers can import transactions into financial management software such as Quicken or GnuCash.
If you want to download your transaction data outside of one of these programs - if you wish to develop a Python application to use this data - if you need to generate your own OFX-formatted data… ofxtools is for you!
What is it?
ofxtools requests, consumes and produces both OFXv1 (SGML) and OFXv2 (XML) formats. It converts serialized markup to/from native Python objects of the appropriate data type, while preserving structure. It also handles Quicken’s QFX format, although it ignores Intuit’s proprietary extension tags.
In a nutshell, ofxtools makes it simple to get OFX data and extract it, or export your data in OFX format.
ofxtools takes a comprehensive, standards-based approach to processing OFX. It targets compliance with the OFX specification, specifically OFX versions 1.6 and 2.03.
- ofxtools Coverage of the OFX Specification
Section 7 (financial institution profile)
Section 8 (service activation; account information)
Section 9 (email over OFX)
Section 10 (recurring bank transfers)
Section 11 (banking)
Section 12 (bill pay)
Section 13 (investments)
OFX tax extensions (1099 forms)
This should cover the great majority of real-world OFX use cases. A particular focus of ofxtools is full support of the OFX investment message set, which has been somewhat neglected by the Python community.
It’s currently a low priority to implement Section 14 (bill presentment) or the extensions contained in OFX versions beyond 2.03, but you’re welcome to contribute code if you need these.
Some care has been taken with the data model to make it easily maintainable and extensible. The ofxtools.models subpackage contains simple, direct translations of the relevant sections of the OFX specification. Using existing models as templates, it’s quite straightforward to define new models and cover more of the spec as needed (the odd corner case notwithstanding).
More than 10 years’ worth of OFX data from various financial institutions has been run through the ofxtools parser, with the results checked. Test coverage is high.
Where is it?
Full documentation is available at Read the Docs.
For ease of installation, ofxtools is released on PyPI.
Development of ofxtools is centralized at GitHub, where you will find a bug tracker.
Installation Dependencies
ofxtools requires Python version 3.10+, and depends only on the standard library (no external dependencies).
1 maintainer
Release files for ofxtools 1.1.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| ofxtools-1.1.1.tar.gz | 196.0 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| ofxtools-1.1.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 432.8 kB
Release files / ofxtools-1.1.1.tar.gz
| Download URL | ofxtools-1.1.1.tar.gz |
|---|---|
| Size | 196.0 kB |
| Tags | Source |
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| Download URL | ofxtools-1.1.1-py3-none-any.whl |
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| Size | 236.8 kB |
| Tags | Python 3 |
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| Uploaded via |
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