Automate your Jupyter notebooks and scripts as web-based reports, forms, tools, widgets, dashboards.
Project description
CrossCompute Analytics Automation Framework
Automate your Jupyter notebooks and scripts as web-based reports, tools, widgets, dashboards, forms. Use this framework to create your own automations, then serve locally or deploy on your own instance of the CrossCompute Analytics Automation System.
- Reports are documents that update when the data changes.
- Forms are step-by-step questions that generate a specific web-based report.
- Tools are forms that transform input variables into output variables.
- Widgets are interactive visualizations that update when the data changes.
- Dashboards are widgets in a layout.
Here are some available extensions:
- crosscompute-views-map
- jupyterlab-crosscompute (being updated to support >= 0.9)
Here are some available views:
- string
- number
- password
- text
- markdown
- image
- map-mapbox (crosscompute-views-map)
- map-deck-screengrid (crosscompute-views-map)
Usage
# Upgrade package
pip install crosscompute --upgrade
# Initialize configuration
crosscompute
# Serve automation
crosscompute automate.yml
Here are some tutorials and examples:
Development
# Clone repository
git clone https://github.com/crosscompute/crosscompute
# Install with dependencies for tests
cd crosscompute
pip install -e .[test]
# Run tests
pytest --cov=crosscompute --cov-report term-missing:skip-covered tests
# Build package for PyPI
pip install build
python -m build --sdist --wheel
# Publish package on PyPI
pip install twine --upgrade
python -m twine upload dist/*
Acknowledgments
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
crosscompute-0.9.0.tar.gz
(20.5 kB
view hashes)
Built Distribution
Close
Hashes for crosscompute-0.9.0-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 0700dcd61935b8c764d43e649288cb774f433a70c6755a610a137f98af6249c0 |
|
MD5 | fdd57eb7d8949cc61d0d9c5cbee0421a |
|
BLAKE2b-256 | 1eae4814c04a98dcca4adb3dd4e1080c9052c37b50a4f857d28b478421f9cb95 |