Cadenza Analytics Python
cadenzaanalytics is the official package for fast and easy creation of disy Cadenza analytics extensions with Python. It enables the extension of disy Cadenza for advanced analytics purposes with the usage of python code.
Find the docs at https://disyinformationssysteme.github.io/cadenza-analytics-python
Dependencies:
- Python 3
- Flask
- Pandas
- Shapely
- requests-toolbelt
- chardet
Installation:
The simplest way to install cadenzaanalytics is from the Python Package Index (PyPI) using the package installer pip.
To install the most recent version, simply execute
pip install cadenzaanalytics
Examples:
Example extensions can be found in examples.
To test an example extension, clone this repository, install the dependencies, navigate to the folder, e.g. examples/data/extension.
Run the example file in your python environment e.g.:
python example_extensions.py
A development server will be started on localhost http://127.0.0.1:5005.
The analytics extension can now be registered and used in disy Cadenza.
It is not recommended to use the development server in a production environment.
License:
1 maintainer
Metadata
1 maintainer
Release files for cadenzaanalytics 10.5.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| cadenzaanalytics-10.5.2.tar.gz | 37.8 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| cadenzaanalytics-10.5.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 95.1 kB
Release files / cadenzaanalytics-10.5.2.tar.gz
| Download URL | cadenzaanalytics-10.5.2.tar.gz |
|---|---|
| Size | 37.8 kB |
| Tags | Source |
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Transparency logRelease files / cadenzaanalytics-10.5.2-py3-none-any.whl
| Download URL | cadenzaanalytics-10.5.2-py3-none-any.whl |
|---|---|
| Size | 57.3 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
Provenance
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