Technology · Framework
TensorFlow
Framework · Google · Catalog tech@1
Google's machine learning framework.
- Categories
- Matched as
- tensorflow
Momentum
Each signal is ranked as a percentile among the technologies that have it. A signal without enough history is not counted, and never shown as zero. How momentum works
Momentum
Collecting0 of 5 signalsNo score yet. Momentum is published only when at least 2 of the 5 signals have history. TensorFlow has 0, so there is no single number: each signal is shown on its own below. It is not a zero, and nothing is estimated in its place.
Snapshot OCT 24, 2026 · Scoring tech@1
- Official repository stars
- Collecting
- Star growth needs repository snapshots 30 days apart.200,659 stars now
- Member repository stars
- Collecting
- Star growth needs repository snapshots 30 days apart.0 new members in 30 days
- Package adoption
- Collecting
- Adoption growth needs two observations of its own packages about 30 days apart.
- Open models
- No official models
- No official model on Hugging Face, so this signal does not apply.
- News
- Collecting
- News counts once there are 3 events across the last 60 days; it has 0.0 in the last 30 days · 0 in the 30 before
Adoption by registry
The growth of TensorFlow’s own packages, one row per registry in that registry’s own unit. Registries count different things over different windows, so they are never added together.
No registry has two observations of TensorFlow’s own packages about 30 days apart yet, so there is no growth to show. Nothing is estimated in its place.
News activity
- Events · 7 days
- 0published events that mention it
- Events · 30 days
- 0published events that mention it
- Previous 30 days
- 0events in the 30 days before
Momentum history
Momentum history starts OCT 8, 2026. A chart appears once two daily snapshots carry a score; none does so far.
Repositories
Official 1
- tensorflow/tensorflow
An Open Source Machine Learning Framework for Everyone
200.7K stars
Members 337repositories tagged with one of its aliases, most-starred first
- SuperBruceJia/EEG-DL
A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.
1.2K stars
- oneapi-src/oneAPI-samples
Samples for Intel® oneAPI Toolkits
1.2K stars
- cheungdaven/DeepRec
An Open-source Toolkit for Deep Learning based Recommendation with Tensorflow.
1.2K stars
- bendangnuksung/Image-OutPainting
🏖 Keras Implementation of Painting outside the box
1.1K stars
- eldar/pose-tensorflow
Human Pose estimation with TensorFlow framework
1.1K stars
- Timthony/self_drive
基于树莓派的自动驾驶小车，利用树莓派和tensorflow实现小车在赛道的自动驾驶。（Self-driving car based on raspberry pi（tensorflow））
1.1K stars
- Cloud-CV/Fabrik
:factory: Collaboratively build, visualize, and design neural nets in browser
1.1K stars
- Dobiasd/frugally-deep
A lightweight header-only library for using Keras (TensorFlow) models in C++.
1.1K stars
- omoindrot/tensorflow-triplet-loss
Implementation of triplet loss in TensorFlow
1.1K stars
- microsoft/Windows-Machine-Learning
Samples and Tools for Windows ML.
1.1K stars
- irolaina/FCRN-DepthPrediction
Deeper Depth Prediction with Fully Convolutional Residual Networks (FCRN)
1.1K stars
- ryfeus/lambda-packs
Precompiled packages for AWS Lambda
1.1K stars
Packages
“Is” packages are TensorFlow itself; ecosystem packages depend on them. The two are counted separately and never added together. Adoption is each registry’s own figure, with its percentile within that registry.
Is 6the technology itself, most-adopted first
- 390importing packagesTop 50% on Go
- tensorflow
TensorFlow is an open source machine learning framework for everyone.
Not published by PyPI - tensorflow-aarch64
TensorFlow is an open source machine learning framework for everyone.
Not published by PyPI - tensorflow-cpu
TensorFlow is an open source machine learning framework for everyone.
Not published by PyPI - tensorflow-cpu-aws
TensorFlow is an open source machine learning framework for everyone.
Not published by PyPI - tf-nightly
TensorFlow is an open source machine learning framework for everyone.
Not published by PyPI
Ecosystem 45packages that depend on it, most-adopted first
- tensorflow-data-validation
A library for exploring and validating machine learning data.
Not published by PyPI - tensorflow-decision-forests
Collection of training and inference decision forest algorithms.
Not published by PyPI - tensorflow-empirical-privacy
Tests for empirical privacy.
Not published by PyPI - tensorflow-federated
An open-source framework for machine learning and other computations on decentralized data.
Not published by PyPI - tensorflow-gnn
A library for building scalable graph neural networks in TensorFlow.
Not published by PyPI - tensorflow-privacy
A privacy-focused machine learning framework
Not published by PyPI - tensorflow-recommenders
Tensorflow Recommenders, a TensorFlow library for recommender systems.
Not published by PyPI - tensorflow-serving-api
TensorFlow Serving Python API.
Not published by PyPI - tensorflow-text
TF.Text is a TensorFlow library of text related ops, modules, and subgraphs.
Not published by PyPI - tensorflow-transform
A library for data preprocessing with TensorFlow
Not published by PyPI - tensorflowasr
Almost State-of-the-art Automatic Speech Recognition using Tensorflow 2
Not published by PyPI - Not published by PyPI
Latest news the 0 latest events that mention it
No published news event mentions TensorFlow yet.