Skip to main content

Reportengine: A framework to organize data pypelines.

Project description

DOI

Reportengine

Reportengine is a framework to develop scientific applications. It is focused on supporting declarative input (YAML), enforcing initialization time ("compile time") constraints, and enabling iteration within the declarative input.

It includes support for figures, tables (pandas) and HTML reports.

The documentation of the NNPDF specific implementation can be found here:

https://data.nnpdf.science/validphys-docs/guide.html

An example application can be found in the example directory.

Install

It is recommended to work with the package using conda.

For linux or Mac, you can install a precompiled package by running

conda install reportengine -c https://packages.nnpdf.science/conda

Alternatively the package can be installed from pip:

pip install reportengine

Note that it will additionally require pandoc to work.

Development

Install in development mode:

pip install -e .

Running the tests

Easiest way is:

pytest

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

reportengine-0.31.tar.gz (166.0 kB view hashes)

Uploaded source

Built Distribution

reportengine-0.31-py2.py3-none-any.whl (96.1 kB view hashes)

Uploaded py2 py3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page