TF-Watcher VS pypi-github-sync

Compare TF-Watcher vs pypi-github-sync and see what are their differences.

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TF-Watcher pypi-github-sync
3 1
59 4
- -
0.0 0.0
11 months ago 10 months ago
Python Shell
Apache License 2.0 BSD 3-clause "New" or "Revised" 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.

TF-Watcher

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

pypi-github-sync

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

What are some alternatives?

When comparing TF-Watcher and pypi-github-sync you can also consider the following projects:

d2l-en - Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

opencv-python - Automated CI toolchain to produce precompiled opencv-python, opencv-python-headless, opencv-contrib-python and opencv-contrib-python-headless packages.

EasyMSE - A Python package for generating custom Magic The Gathering cards

shred - A cross-platform library for securely deleting files beyond recovery.

bibaandboba - Python package for analyzing Telegram chats and finding correlations between people

release-manager - 🎁 Ragdata's Automated Release & Deployment Bot with CHANGELOG

hyperglass - hyperglass is the network looking glass that tries to make the internet better.

gh-action-pypi-publish - The blessed :octocat: GitHub Action, for publishing your :package: distribution files to PyPI: https://github.com/marketplace/actions/pypi-publish

data-science-ipython-notebooks - Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

jina - ☁️ Build multimodal AI applications with cloud-native stack

styrofoam - (Alpha) Advanced WSGI router for running multiple separate WSGI applications

Keras - Deep Learning for humans