gct VS tfgraphviz

Compare gct vs tfgraphviz and see what are their differences.

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gct tfgraphviz
1 -
46 45
- -
0.0 0.0
about 1 year ago almost 3 years ago
Python Python
GNU General Public License v3.0 only MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

gct

Posts with mentions or reviews of gct. We have used some of these posts to build our list of alternatives and similar projects.

tfgraphviz

Posts with mentions or reviews of tfgraphviz. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning tfgraphviz yet.
Tracking mentions began in Dec 2020.

What are some alternatives?

When comparing gct and tfgraphviz you can also consider the following projects:

xdot.py - Interactive viewer for graphs written in Graphviz's dot language.

Clairvoyant - Software designed to identify and monitor social/historical cues for short term stock movement

git-big-picture - :octopus: Git — the big picture

tensorflow - An Open Source Machine Learning Framework for Everyone

pydot - Python interface to Graphviz's Dot language

TFLearn - Deep learning library featuring a higher-level API for TensorFlow.

klara - Automatic test case generation for python and static analysis library

Keras - Deep Learning for humans

ansible-playbook-grapher - A command line tool to create a graph representing your Ansible playbook tasks and roles

rwa - Machine Learning on Sequential Data Using a Recurrent Weighted Average

scikit-learn - scikit-learn: machine learning in Python

MLflow - Open source platform for the machine learning lifecycle