TensorFlow Alternatives (January 2026)

An end-to-end open source machine learning platform for everyone. Discover TensorFlow's flexible ecosystem of tools, libraries and community resources.

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1.
TFLearn | TensorFlow Deep Learning Library
https://tflear
.org/

Documentation for TFLearn, a deep learning library featuring a higher-level API for TensorFlow.

2.
Kubeflow
https://www.kubeflo
.org/

Kubeflow makes deployment of ML Workflows on Kubernetes straightforward and automated

3.
Distributed Deep Learning and Hyperparameter Tuning Platform | Determined AI
https://determine
.ai/

Open source deep learning training platform that enables data scientists to train better models, with built-in hyperparameter tuning and distributed training

4.
Hugging Face – The AI community building the future.
https://huggingfac
.co/

We’re on a journey to advance and democratize artificial intelligence through open source and open science.

5.
Weights & Biases: The AI Developer Platform
https://wand
.ai/

Weights & Biases is the leading AI developer platform to train and fine-tune models, manage models from experimentation to production, and track and evaluate GenAI applications powered by LLMs.

6.
OpenCV - Open Computer Vision Library
https://openc
.org/

OpenCV provides a real-time optimized Computer Vision library, tools, and hardware. It also supports model execution for Machine Learning (ML) and Artificial Intelligence (AI).

9.
Drupal - Open Source CMS | Drupal.org
https://www.drupa
.org/

Drupal is an open source platform for building amazing digital experiences. It's made by a dedicated community. Anyone can use it, and it will always be free.