pip install tensorflow==2.7.0

TensorFlow is an open source machine learning framework for everyone.

Source
Among top 1000 packages on PyPI.
Over 36.0M downloads in the last 90 days.

Commonly used with tensorflow

Based on how often these packages appear together in public requirements.txt files on GitHub.

tensorflow-gpu

TensorFlow is an open source machine learning framework for everyone.

gym

The OpenAI Gym: A toolkit for developing and comparing your reinforcement learning agents.

Keras

Deep Learning for humans

absl-py

Abseil Python Common Libraries, see https://github.com/abseil/abseil-py.

tensorboard

TensorBoard lets you watch Tensors Flow

Keras-Applications

Reference implementations of popular deep learning models

astor

Read/rewrite/write Python ASTs

tensorflowjs

Python Libraries and Tools for TensorFlow.js

autocolorize

Automatic colorizaton of grayscale images using Deep Learning.

ml-collections

ML Collections is a library of Python collections designed for ML usecases.

syntok

sentence segmentation and word tokenization toolkit

tensorflow-probability

Probabilistic modeling and statistical inference in TensorFlow

Keras-Preprocessing

Easy data preprocessing and data augmentation for deep learning models

gast

Python AST that abstracts the underlying Python version

dstoolbox

Tools that make working with scikit-learn and pandas easier.

dm-reverb

Reverb is an efficient and easy-to-use data storage and transport system designed for machine learning research.

tensorflow-tensorboard

TensorBoard lets you watch Tensors Flow

tensorflow-estimator

TensorFlow Estimator.

backports.weakref

Backport of new features in Python's weakref module

Version usage of tensorflow

Proportion of downloaded versions in the last 3 months (only versions over 1%).

2.6.0

19.34%

1.15.5

7.91%

2.4.1

7.21%

2.2.0

6.47%

2.4.0

5.98%

1.15.0

5.54%

1.14.0

4.94%

2.1.0

4.77%

2.3.0

4.64%

2.5.0

4.07%

2.5.1

3.75%

2.4.3

3.15%

2.3.4

2.35%

2.0.0

2.30%

2.3.1

2.03%

1.13.1

1.42%

1.15.4

1.36%

1.11.0

1.35%

2.4.2

1.16%

1.12.0

1.11%