Curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning.
Open source
24 alternativesTensorFlow
TensorFlow offers an open-source machine learning platform with tools, libraries, and community resources.
About TensorFlow
TensorFlow is an open-source machine learning platform for creating, training, and deploying models. It includes tf.keras for model creation, tf.data for input pipelines, TFX for production pipelines, TensorBoard for visualizing training, TensorFlow.js for browser and Node.js use, and LiteRT for mobile and edge devices. The site also provides tutorials with code samples, pre-trained models, standard datasets, and community interest groups and events.
Key features
- Create models with the tf.keras high-level API
- Preprocess data and build input pipelines with tf.data
- Train and run models in the browser with TensorFlow.js
- Deploy models to mobile and edge devices with LiteRT
- Build production pipelines with TFX following MLOps practices
- Visualize and track model training with TensorBoard
Best for: Developers and researchers who build, train, and deploy machine learning models in different environments.
Good for
- Open source with libraries, tools, and community resources
- Covers training, deployment, and production pipeline workflows
- Includes tutorials, code samples, datasets, and pre-trained models
TensorFlow at a glance
- Website
- tensorflow.org
- Type
- Website
- Pricing
- Not confirmed. Check the site
- Platforms
- Web
- Open source
- Yes
- Language
- English
- Last checked
- Oct 5, 2026 · Online when checked
- Listed
- Oct 5, 2026
TensorFlow alternatives
Tools and sites you could use instead, ranked by how closely they match.
Build neural networks and support machine learning research with Sonnet, a library based on TensorFlow.
Open source
24 alternatives
QKeras provides quantization tools for deep learning with TensorFlow Keras.
Open source
24 alternatives
The open source Feast feature store lets teams define, manage, discover, and serve features for machine learning.
Open source
24 alternatives
Kubeflow Pipelines orchestrates and manages machine learning workflows on Kubeflow.
Open source
24 alternatives
Sagify describes its project as a way to work with large language models and machine learning more easily.
Open source
24 alternativesPopular in AI Infrastructure & MLOps
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TensorFlow FAQ
Can TensorFlow models run in the browser?
Yes, TensorFlow.js trains and runs models directly in the browser using JavaScript or Node.js.
Can TensorFlow deploy models to mobile and edge devices?
Yes, LiteRT supports deployment on Android, iOS, Raspberry Pi, and Edge TPU.
Where can I find datasets and pre-trained models?
TensorFlow Datasets lists standard datasets, and Kaggle Models lists pre-trained models for fine-tuning and deployment.
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