tensorflow-cpu has 1.9M monthly downloads and 196K GitHub stars. Version 2.21.0 supports Python 3.10+, first published in 2019.
It is actively maintained under a permissive license, last released in Mar 2026.
It is built on top of absl-py, astunparse and flatbuffers. It is used by 51 tracked packages, including kauldron, bioemu and cvdata.
GitHub topics include tensorflow, machine-learning and deep-learning.
Package Insights
- No releases in 121 days despite active commits
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Dependencies
- absl-py >=1.0.0
- astunparse >=1.6.0
- flatbuffers >=25.9.23
- gast !=0.5.0,!=0.5.1,!=0.5.2,>=0.2.1
- google-pasta >=0.1.1
- grpcio <2.0,>=1.24.3
- h5py <3.15.0,>=3.11.0
- keras >=3.12.0
- libclang >=13.0.0
- ml-dtypes <1.0.0,>=0.5.1
- numpy >=1.26.0
- opt-einsum >=2.3.2
- packaging
- protobuf <8.0.0,>=6.31.1
- requests <3,>=2.21.0
- setuptools
- six >=1.12.0
- termcolor >=1.1.0
- typing-extensions >=3.6.6
- wrapt >=1.11.0
13 optional dependencies
- nvidia-cublas-cu12[and-cuda]
- nvidia-cuda-cupti-cu12[and-cuda]
- nvidia-cuda-nvcc-cu12[and-cuda]
- nvidia-cuda-nvrtc-cu12[and-cuda]
- nvidia-cuda-runtime-cu12[and-cuda]
- nvidia-cudnn-cu12[and-cuda]
- nvidia-cufft-cu12[and-cuda]
- nvidia-curand-cu12[and-cuda]
- nvidia-cusolver-cu12[and-cuda]
- nvidia-cusparse-cu12[and-cuda]
- nvidia-nccl-cu12[and-cuda]
- nvidia-nvjitlink-cu12[and-cuda]
- tensorflow-io-gcs-filesystem[gcs-filesystem]
Used By
- kauldron
- bioemu
- cvdata
- envisionhgdetector
- tensorflow-directml-plugin
- alphapulldown
- gwskynet
- a62-emotion
- nmma
- nucdetect
- standard-e2e
- aws-fortuna
- image-classification-jax
- sdeper
- mlcvzoo-tf-classification
- clearvision
- kstflow
- nhl-predictor
- symclatron
- face-tagger
- synthesized3
- netfl
- pycnet-audio
- svnm
- alpharing
- fivedreg-tf
- nanovar
- neuroutils
- autoxla
- planktonclass
- mujoco-robot-environments
- kagglefold
- qihoo-tensornet
- gamornet-cpu
- recovar
- jaxili
- anprs
- folding
- psusannx-s3
- rasafou
- mt3-audio2midi
- solvar
- echo-report-lab
- tchatbot
- sgrf
- ennuf
- ingestables
- xai-agg
- hantoshi
- pydoku2