Technology · Framework
TensorFlow
Framework · Google · Catalog tech@1
Google's machine learning framework.
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- 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
- dusty-nv/jetson-containers
Machine Learning Containers for NVIDIA Jetson and JetPack-L4T
4.9K stars
- deepjavalibrary/djl
An Engine-Agnostic Deep Learning Framework in Java
4.9K stars
- blei-lab/edward
A probabilistic programming language in TensorFlow. Deep generative models, variational inference.
4.8K stars
- sjvasquez/handwriting-synthesis
Handwriting Synthesis with RNNs ✏️
4.8K stars
- Tencent/TNN
TNN: developed by Tencent Youtu Lab and Guangying Lab, a uniform deep learning inference framework for mobile、desktop and server. TNN is distinguished by several outstanding features, including its cross-platform capability, high performance, model compression and code pruning. Based on ncnn and Rapidnet, TNN further strengthens the support and performance optimization for mobile devices, and also draws on the advantages of good extensibility and high performance from existed open source efforts. TNN has been deployed in multiple Apps from Tencent, such as Mobile QQ, Weishi, Pitu, etc. Contributions are welcome to work in collaborative with us and make TNN a better framework.
4.7K stars
- PINTO0309/PINTO_model_zoo
A repository for storing models that have been inter-converted between various frameworks. Supported frameworks are TensorFlow, PyTorch, ONNX, OpenVINO, TFJS, TFTRT, TensorFlowLite (Float32/16/INT8), EdgeTPU, CoreML.
4.6K stars
- TachibanaYoshino/AnimeGAN
A Tensorflow implementation of AnimeGAN for fast photo animation ! This is the Open source of the paper 「AnimeGAN: a novel lightweight GAN for photo animation」, which uses the GAN framwork to transform real-world photos into anime images.
4.6K stars
- tensorflow/datasets
TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...
4.6K stars
- OAID/Tengine
Tengine is a lite, high performance, modular inference engine for embedded device
4.5K stars
- suragnair/alpha-zero-general
A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4 and more
4.5K stars
- astorfi/TensorFlow-World
:earth_americas: Simple and ready-to-use tutorials for TensorFlow
4.5K stars
- lululxvi/deepxde
A library for scientific machine learning and physics-informed learning
4.4K 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
- basic-pitch
Basic Pitch, a lightweight yet powerful audio-to-MIDI converter with pitch bend detection.
Not published by PyPI - birdnet-analyzer
BirdNET analyzer for scientific audio data processing and bird classification.
Not published by PyPI - calamari-ocr
Line based ATR Engine based on OCRopy
Not published by PyPI - deepface
A Lightweight Face Recognition and Facial Attribute Analysis Framework (Age, Gender, Emotion, Race) for Python
Not published by PyPI - deepface-fork
A Lightweight Face Recognition and Facial Attribute Analysis Framework (Age, Gender, Emotion, Race) for Python
Not published by PyPI - deepfacesnap
A Lightweight Face Recognition and Facial Attribute Analysis Framework (Age, Gender, Emotion, Race) for Python
Not published by PyPI - fg-data-synthetic
Synthetic data generation methods with different synthetization methods.
Not published by PyPI - google-meridian
Google's open source mixed marketing model library, helps you understand your return on investment and direct your ad spend with confidence.
Not published by PyPI - google-meridian-noschema
Fork of Google's open source mixed marketing model library, helps you understand your return on investment and direct your ad spend with confidence.
Not published by PyPI - gpflow
Gaussian process methods in TensorFlow
Not published by PyPI - iara-stt-training
Training code for Coqui STT
Not published by PyPI - iarahealth-stt-training
Training code for Coqui STT
Not published by PyPI
Latest news the 0 latest events that mention it
No published news event mentions TensorFlow yet.