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

The core grapes module depends only on networkx, which can be found on PyPI and is included in the Anaconda distribution.

To visualize graphs, matplotlib and pygraphviz (a wrapper for Graphviz) are also needed. On Windows, pygraphviz requires the Visual Studio C/C++ build tools to be installed (including MSVC tools), alongside Graphviz 2.46 or higher, which should be in PATH. This is explained in detail in the official guide of pygraphviz.

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.

Note that the dependencies related to graph visualization are not installed automatically and should be installed manually as explained in the Dependencies section.

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-0.6.0.tar.gz (38.9 kB view details)

Uploaded Source

Built Distribution

grapes-0.6.0-py3-none-any.whl (16.4 kB view details)

Uploaded Python 3

File details

Details for the file grapes-0.6.0.tar.gz.

File metadata

  • Download URL: grapes-0.6.0.tar.gz
  • Upload date:
  • Size: 38.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.5.0 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.8.11

File hashes

Hashes for grapes-0.6.0.tar.gz
Algorithm Hash digest
SHA256 408ba7c386ed9dc7304a3a0873a146bb1b7007b550a26059fc73cbb9359d1109
MD5 00d746d3bb5e9d80e9325194c52f476e
BLAKE2b-256 188a26268185b1e5a442643bb3a309a20bdc0c9b9a8b7950848bcc97d17b2da2

See more details on using hashes here.

File details

Details for the file grapes-0.6.0-py3-none-any.whl.

File metadata

  • Download URL: grapes-0.6.0-py3-none-any.whl
  • Upload date:
  • Size: 16.4 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.5.0 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.8.11

File hashes

Hashes for grapes-0.6.0-py3-none-any.whl
Algorithm Hash digest
SHA256 15fb33af2113c8f908f1a3a8db5b2e14127dabe8421eddaeab2eec32af69ddbc
MD5 5323796a4ff8238ff7601770e265bccc
BLAKE2b-256 406928b2237722bb939124160f091d55dfefd9bbfa5d77901f4bf40f93e88013

See more details on using hashes here.

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