Skip to main content

Helper for dataflow based programming

Project description

grapes

A simple library for dataflow programming in python. It is inspired by pythonflow but with substantial modifications.

Dependencies

grapes depends only on networkx, which can be found on PyPI and is included in the Anaconda distribution. To visualize graphs, pygraphviz is also needed. For its installation, refer to the official guide. Finally, pytest is needed to run the tests.

Installation

grapes is available on PyPI. Install it from there with

pip install grapes

Otherwise you can install from source. Move to the root directory of the grapes source code (the one where setup.py is located) and run

pip install -e .

The -e flag creates an editable installation.

Roadmap

Future plans include:

  • Better explanation of what grapes is.
  • Usage examples.
  • Better comments and documentation.

Authorship and License

The bulk of grapes development was done by Giulio Foletto in his spare time. See LICENSE.txt and NOTICE.txt for details on how grapes is distributed.

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

grapes-0.5.0.tar.gz (13.5 kB view hashes)

Uploaded Source

Built Distribution

grapes-0.5.0-py3-none-any.whl (14.2 kB view hashes)

Uploaded Python 3

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