Tools for manipulating Directed Acyclic Graphs in Python

Project description

Analyzing DAGs in Python

The dagtools package provides utilities for computing various graph-theoretic properties of DAGs (Directed Acyclic Graphs).

The dagtools package is familiar with the below graph formats, and can convert between any of them:

0.0.2

Jan 20, 2020

This version

0.0.1

Jan 20, 2020

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

Uploaded Jan 20, 2020 Source

Uploaded Jan 20, 2020 Python 3

Hashes for dagtools-0.0.1.tar.gz
Algorithm	Hash digest
SHA256	`2bd3b8d31f47e2c38df4bc0d322cc696bf688cd4504779082752d2cac48a0ea8`
MD5	`c12fcde17ab0e9bd16abbf80c4101293`
BLAKE2b-256	`14926338e5be910c9068e6c1dbc357b2585d8ed26ac802d218725098fd87cfae`

Hashes for dagtools-0.0.1-py3-none-any.whl
Algorithm	Hash digest
SHA256	`a0e03539293a24e4e3ec47f0a7ca047bcc7066d7b9119ebefba22b40b5d57870`
MD5	`0206efda1aab5c807b253e202ac7101d`
BLAKE2b-256	`608903344aebe896d88329e3c84d7a90b2d06ff6579e9b87c215fa4af9cc36b5`