https://github.com/ccao-data/assesspy

Python package for measuring assessment performance
https://github.com/ccao-data/assesspy

assessment property-taxes python python-package taxes

Last synced: about 12 hours ago
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Python package for measuring assessment performance

• Host: GitHub
• URL: https://github.com/ccao-data/assesspy
• Owner: ccao-data
• License: agpl-3.0
• Created: 2023-07-06T14:57:49.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2024-11-07T20:20:46.000Z (7 days ago)
• Last Synced: 2024-11-07T20:24:19.433Z (7 days ago)
• Topics: assessment, property-taxes, python, python-package, taxes
• Language: Python
• Homepage: https://ccao-data.github.io/assesspy/
• Size: 318 KB
• Stars: 2
• Watchers: 0
• Forks: 0
• Open Issues: 1
• Metadata Files:
  • Readme: README.md
  • License: LICENSE
  • Citation: CITATION.cff
  • Codeowners: .github/CODEOWNERS

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README

        
# AssessPy 

[![package-build](https://github.com/ccao-data/assesspy/actions/workflows/python-package.yaml/badge.svg)](https://github.com/ccao-data/assesspy/actions/workflows/python-package.yaml)

[![test-coverage](https://github.com/ccao-data/assesspy/actions/workflows/test-coverage.yaml/badge.svg)](https://github.com/ccao-data/assesspy/actions/workflows/test-coverage.yaml)

[![pre-commit](https://github.com/ccao-data/assesspy/actions/workflows/pre-commit.yaml/badge.svg)](https://github.com/ccao-data/assesspy/actions/workflows/pre-commit.yaml)

Assesspy is a software package for Python developed by the Cook County Assessor’s (CCAO)

Data Department. It contains many of the functions necessary to perform a standard

[sales ratio study](https://www.iaao.org/media/standards/Standard_on_Ratio_Studies.pdf).

For assessors, we believe that this package will reduce the complexity of calculating

ratio statistics and detecting sales chasing. We also hope that reporters, taxpayers,

and members of academia will find this package helpful in monitoring the performance

of local assessors and conducting research.

For detailed documentation on included functions and data, [**visit the

full reference list**](https://ccao-data.github.io/assesspy/reference.html).

For examples of specific tasks you can complete with `assesspy`

functions, see the [**vignettes page**](https://ccao-data.github.io/assesspy/vignettes.html).

## Installation

You can install the released version of `assesspy` using pip.

```python

pip install assesspy

```

Once it's installed, you can use it just like any other package. Simply

call `import assesspy` at the beginning of your script.