adstk
ADSTK aims to bundle together relevant actuarial models, tools and code simplifications to enrich the Actuarial / Insurance Data Science experience in the Python ecosystem.
Features
ADSTK currently ships with a limited number of methods and use cases:
- Partial dependence display with support for individual conditional expectation curves (ICE)
Dependencies
adstk requires:
- Python (>= 3.10)
- NumPy (>= 1.24)
- SciPy (>= 1.10)
Optional requirements for plotting etc.
- matplotlib ()
- plotly ()
User installation
The easiest way to install adstk will using pip once we publish on PyPi:
pip install -U adstk
Changelog
See the changelog for a history of notable changes to adstk.
Development
We welcome human contributors of all experience levels. The adstk community goals are to be helpful, welcoming, and effective. The Contributing guide has detailed information about contributing code, documentation, tests, and more. Please also note our AI contribution policy before submitting anything.
Important links
- Official source code repo: https://codeberg.org/ftranschel/adstk
- Download releases: https://pypi.org/project/adstk/
- Issue tracker: https://codeberg.org/ftranschel/adstk/issues
Source code
You can check the latest sources with the command:
git clone https://codeberg.org/ftranschel/adstk.git
Contributing
To learn more about making a contribution to adstk, please see our Contributing guide.
Testing
After installation, you can launch the test suite from the source
directory (you will need pytest installed):
pytest
Submitting a Pull Request
Before opening a pull request, please read the Contributing guide and our AI policy to make sure your submission complies with our guidelines.
Metadata
Release files for adstk 0.0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| adstk-0.0.1.tar.gz | 11.6 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| adstk-0.0.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 17.6 kB
Release files / adstk-0.0.1.tar.gz
| Download URL | adstk-0.0.1.tar.gz |
|---|---|
| Size | 11.6 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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|
BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.14.7
|
Release files / adstk-0.0.1-py3-none-any.whl
| Download URL | adstk-0.0.1-py3-none-any.whl |
|---|---|
| Size | 6.0 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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|
BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.14.7
|
Security for adstk 0.0.1
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No provenance found
None of the files in this release were uploaded with provenance metadata.
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