Technology · Framework
TensorFlow
Framework · Google · Catalog tech@1
Google's machine learning framework.
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- 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
- margelo/react-native-fast-tflite
🧬 High-performance TensorFlow Lite library for React Native with GPU acceleration
1.2K stars
- yuanxiaosc/Entity-Relation-Extraction
Entity and Relation Extraction Based on TensorFlow and BERT. 基于TensorFlow和BERT的管道式实体及关系抽取，2019语言与智能技术竞赛信息抽取任务解决方案。Schema based Knowledge Extraction, SKE 2019
1.2K stars
- huoyijie/AdvancedEAST
AdvancedEAST is an algorithm used for Scene image text detect, which is primarily based on EAST, and the significant improvement was also made, which make long text predictions more accurate.https://github.com/huoyijie/raspberrypi-car
1.2K stars
- foochane/books
整理一些书籍 ,包含 C&C++ 、git 、Java、Keras 、Linux 、NLP 、Python 、Scala 、TensorFlow 、大数据 、推荐系统、数据库、数据挖掘 、机器学习 、深度学习 、算法等。
1.2K stars
- getnamo/TensorFlow-Unreal
TensorFlow plugin for the Unreal Engine.
1.2K stars
- imfing/keras-flask-deploy-webapp
:smiley_cat: Pretty & simple image classifier app template. Deploy your own trained model or pre-trained model (VGG, ResNet, Densenet) to a web app using Flask in 10 minutes.
1.2K stars
- openvinotoolkit/nncf
Neural Network Compression Framework for enhanced OpenVINO™ inference
1.2K stars
- DeepWisdom/AutoDL
Automated Deep Learning without ANY human intervention. 1'st Solution for AutoDL challenge@NeurIPS.
1.2K stars
- altosaar/variational-autoencoder
Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow)
1.2K stars
- khundman/telemanom
A framework for using LSTMs to detect anomalies in multivariate time series data. Includes spacecraft anomaly data and experiments from the Mars Science Laboratory and SMAP missions.
1.2K stars
- vanhuyz/CycleGAN-TensorFlow
An implementation of CycleGan using TensorFlow
1.2K stars
- harvitronix/five-video-classification-methods
Code that accompanies my blog post outlining five video classification methods in Keras and TensorFlow
1.2K 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.