# tensorflow

> TensorFlow is an open source machine learning framework for everyone.

- **URL**: https://www.freshcrate.ai/projects/tensorflow
- **Author**: Google Inc.
- **Category**: Frameworks
- **Latest version**: `2.21.0` (2026-04-21)
- **License**: Apache 2.0
- **Source**: https://github.com/tensorflow/tensorflow/tags
- **Homepage**: https://www.tensorflow.org/
- **Language**: C++
- **GitHub**: 194,809 stars, 75,271 forks
- **Registry**: pypi (`tensorflow`)
- **Tags**: `learning`, `machine`, `pypi`, `tensor`, `tensorflow`

## Description

[![Python](https://img.shields.io/pypi/pyversions/tensorflow.svg?style=plastic)](https://badge.fury.io/py/tensorflow)
[![PyPI](https://badge.fury.io/py/tensorflow.svg)](https://badge.fury.io/py/tensorflow)

TensorFlow is an open source software library for high performance numerical
computation. Its flexible architecture allows easy deployment of computation
across a variety of platforms (CPUs, GPUs, TPUs), and from desktops to clusters
of servers to mobile and edge devices.

Originally developed by researchers and engineers from the Google Brain team
within Google's AI organization, it comes with strong support for machine
learning and deep learning and the flexible numerical computation core is used
across many other scientific domains. TensorFlow is licensed under [Apache
2.0](https://github.com/tensorflow/tensorflow/blob/master/LICENSE).

## Recent releases

| Version | Date | Urgency | Changes |
| --- | --- | --- | --- |
| `2.21.0` | 2026-04-21 | Low | Imported from PyPI (2.21.0) |
| `v2.21.0` | 2026-03-06 | Low | # Release 2.21.0  ## TensorFlow  ### Breaking Changes  * Support for Python 3.9 has been removed starting with TF 2.21. * The TensorBoard (TB) dependency has been removed starting with TF 2.21.  ### Major Features and Improvements  * `tf.lite`     * Adds int8 and int16x8 support for SQRT operator.     * Adds int16x8 support for EQUAL and NOT_EQUAL operators.     * Adds support for int2 type.     * Adds support for int2/int4 in tfl.cast .     * Adds support for SRQ int2 in tfl.ful |
| `v2.21.0` | 2026-03-06 | Low | # Release 2.21.0  ## TensorFlow  ### Breaking Changes  * Support for Python 3.9 has been removed starting with TF 2.21. * The TensorBoard (TB) dependency has been removed starting with TF 2.21.  ### Major Features and Improvements  * `tf.lite`     * Adds int8 and int16x8 support for SQRT operator.     * Adds int16x8 support for EQUAL and NOT_EQUAL operators.     * Adds support for int2 type.     * Adds support for int2/int4 in tfl.cast .     * Adds support for SRQ int2 in tfl.ful |
| `v2.21.0` | 2026-03-06 | Low | # Release 2.21.0  ## TensorFlow  ### Breaking Changes  * Support for Python 3.9 has been removed starting with TF 2.21. * The TensorBoard (TB) dependency has been removed starting with TF 2.21.  ### Major Features and Improvements  * `tf.lite`     * Adds int8 and int16x8 support for SQRT operator.     * Adds int16x8 support for EQUAL and NOT_EQUAL operators.     * Adds support for int2 type.     * Adds support for int2/int4 in tfl.cast .     * Adds support for SRQ int2 in tfl.ful |
| `v2.21.0` | 2026-03-06 | Low | # Release 2.21.0  ## TensorFlow  ### Breaking Changes  * Support for Python 3.9 has been removed starting with TF 2.21. * The TensorBoard (TB) dependency has been removed starting with TF 2.21.  ### Major Features and Improvements  * `tf.lite`     * Adds int8 and int16x8 support for SQRT operator.     * Adds int16x8 support for EQUAL and NOT_EQUAL operators.     * Adds support for int2 type.     * Adds support for int2/int4 in tfl.cast .     * Adds support for SRQ int2 in tfl.ful |
| `v2.21.0` | 2026-03-06 | Low | # Release 2.21.0  ## TensorFlow  ### Breaking Changes  * Support for Python 3.9 has been removed starting with TF 2.21. * The TensorBoard (TB) dependency has been removed starting with TF 2.21.  ### Major Features and Improvements  * `tf.lite`     * Adds int8 and int16x8 support for SQRT operator.     * Adds int16x8 support for EQUAL and NOT_EQUAL operators.     * Adds support for int2 type.     * Adds support for int2/int4 in tfl.cast .     * Adds support for SRQ int2 in tfl.ful |
| `v2.21.0` | 2026-03-06 | Low | # Release 2.21.0  ## TensorFlow  ### Breaking Changes  * Support for Python 3.9 has been removed starting with TF 2.21. * The TensorBoard (TB) dependency has been removed starting with TF 2.21.  ### Major Features and Improvements  * `tf.lite`     * Adds int8 and int16x8 support for SQRT operator.     * Adds int16x8 support for EQUAL and NOT_EQUAL operators.     * Adds support for int2 type.     * Adds support for int2/int4 in tfl.cast .     * Adds support for SRQ int2 in tfl.ful |
| `v2.21.0` | 2026-03-06 | Low | # Release 2.21.0  ## TensorFlow  ### Breaking Changes  * Support for Python 3.9 has been removed starting with TF 2.21. * The TensorBoard (TB) dependency has been removed starting with TF 2.21.  ### Major Features and Improvements  * `tf.lite`     * Adds int8 and int16x8 support for SQRT operator.     * Adds int16x8 support for EQUAL and NOT_EQUAL operators.     * Adds support for int2 type.     * Adds support for int2/int4 in tfl.cast .     * Adds support for SRQ int2 in tfl.ful |
| `v2.21.0` | 2026-03-06 | Low | # Release 2.21.0  ## TensorFlow  ### Breaking Changes  * Support for Python 3.9 has been removed starting with TF 2.21. * The TensorBoard (TB) dependency has been removed starting with TF 2.21.  ### Major Features and Improvements  * `tf.lite`     * Adds int8 and int16x8 support for SQRT operator.     * Adds int16x8 support for EQUAL and NOT_EQUAL operators.     * Adds support for int2 type.     * Adds support for int2/int4 in tfl.cast .     * Adds support for SRQ int2 in tfl.ful |
| `v2.21.0` | 2026-03-06 | Low | # Release 2.21.0  ## TensorFlow  ### Breaking Changes  * Support for Python 3.9 has been removed starting with TF 2.21. * The TensorBoard (TB) dependency has been removed starting with TF 2.21.  ### Major Features and Improvements  * `tf.lite`     * Adds int8 and int16x8 support for SQRT operator.     * Adds int16x8 support for EQUAL and NOT_EQUAL operators.     * Adds support for int2 type.     * Adds support for int2/int4 in tfl.cast .     * Adds support for SRQ int2 in tfl.ful |

## Citation

- HTML: https://www.freshcrate.ai/projects/tensorflow
- Markdown: https://www.freshcrate.ai/projects/tensorflow.md
- Dependencies JSON: https://www.freshcrate.ai/api/projects/tensorflow/deps

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