MoneyLover Excel Lib
This is a library to data crunch excel documents generated by MoneyLover app.
To load generated documents into library, first open them with openoffice or libreoffice and save as .xlsx.
Sample scripts can be found in scripts/ directory, documentation can be found in docs/ directory. To run sample scripts put them in the same directory as moneylover.py.
If you find a bug, please post about it in the MoneyLover-Excel-Lib github issues section. Contributors more than welcome. Features to be implemented can be found in plan.txt.
If you have installed with pip, use via: from MoneyLover_Excel_Lib.moneylover import *
Written by Tim Nibert http://www.github.com/tnibert/MoneyLover-Excel-Lib http://www.ironlotuscomputer.com.au
Metadata
Release files for MoneyLover_Excel_Lib 0.5
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| MoneyLover_Excel_Lib-0.5.tar.gz | 5.0 kB | Without provenance | Details |
Release files / MoneyLover_Excel_Lib-0.5.tar.gz
| Download URL | MoneyLover_Excel_Lib-0.5.tar.gz |
|---|---|
| Size | 5.0 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
7aa7d9551135d561d93ed61fce30da9ab415f56ad5bd8f17aab723dcd1849ec5
|
|
BLAKE2b-256 checksum How to use checksums |
b517323a88690056558f0556cf9d87b2aaccf22e7a17fe70e31200fc0fd2b0fc
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
Security for MoneyLover_Excel_Lib 0.5
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.