# Tools

# Tools

Explore tools to support and accelerate TensorFlow workflows.
![](https://www.tensorflow.org/static/site-assets/images/marketing/resources/tools-hero.svg) ![](https://www.tensorflow.org/static/site-assets/images/marketing/cards/tile_logo_colabs_icon.png) [Colab](https://colab.sandbox.google.com/notebooks/welcome.ipynb) Colaboratory is a free Jupyter notebook environment that requires no setup and runs entirely in the cloud, allowing you to execute TensorFlow code in your browser with a single click.
[Learn more](https://colab.sandbox.google.com/notebooks/welcome.ipynb) ![](https://www.tensorflow.org/static/site-assets/images/marketing/cards/tile_tool_visual_blocks.jpeg) [Visual Blocks](https://visualblocks.withgoogle.com/) A visual coding web framework to prototype ML workflows using I/O devices, models, data augmentation, and even Colab code as reusable building blocks.
[Learn more](https://visualblocks.withgoogle.com/) ![](https://www.tensorflow.org/static/site-assets/images/marketing/cards/tile_tool_tensorboard.jpg) [TensorBoard](https://www.tensorflow.org/tensorboard) A suite of visualization tools to understand, debug, and optimize TensorFlow programs.
[Learn more](https://www.tensorflow.org/tensorboard) [View code](https://github.com/tensorflow/tensorboard) ![](https://www.tensorflow.org/static/site-assets/images/marketing/cards/tile_tool_what_if.jpg) [What-If Tool](https://pair-code.github.io/what-if-tool/) A tool for code-free probing of machine learning models, useful for model understanding, debugging, and fairness. Available in TensorBoard and jupyter or colab notebooks.
[Learn more](https://pair-code.github.io/what-if-tool/) [Get started](https://colab.research.google.com/github/PAIR-code/what-if-tool/blob/master/What_If_Tool_Notebook_Usage.ipynb) ![](https://www.tensorflow.org/static/site-assets/images/marketing/cards/tile_logo_mlperf_icon.png) [ML Perf](https://mlperf.org/) A broad ML benchmark suite for measuring performance of ML software frameworks, ML hardware accelerators, and ML cloud platforms.
[Learn more](https://mlperf.org/) ![](https://www.tensorflow.org/static/site-assets/images/marketing/cards/tile_tool_xla.jpg) [XLA](https://www.tensorflow.org/xla) XLA (Accelerated Linear Algebra) is a domain-specific compiler for linear algebra that optimizes TensorFlow computations. The results are improvements in speed, memory usage, and portability on server and mobile platforms.
[Learn more](https://www.tensorflow.org/xla) ![](https://www.tensorflow.org/static/site-assets/images/marketing/cards/tile_tool_tf_playground.jpg) [TensorFlow Playground](https://playground.tensorflow.org/#activation=tanh&batchSize=10&dataset=circle®Dataset=reg-plane&learningRate=0.03®ularizationRate=0&noise=0&networkShape=4,2&seed=0.04620&showTestData=false&discretize=false&percTrainData=50&x=true&y=true&xTimesY=false&xSquared=false&ySquared=false&cosX=false&sinX=false&cosY=false&sinY=false&collectStats=false&problem=classification&initZero=false&hideText=false) Tinker with a neural network in your browser. Don't worry, you can't break it.
[Learn more](https://playground.tensorflow.org/#activation=tanh&batchSize=10&dataset=circle®Dataset=reg-plane&learningRate=0.03®ularizationRate=0&noise=0&networkShape=4,2&seed=0.04620&showTestData=false&discretize=false&percTrainData=50&x=true&y=true&xTimesY=false&xSquared=false&ySquared=false&cosX=false&sinX=false&cosY=false&sinY=false&collectStats=false&problem=classification&initZero=false&hideText=false) ![](https://www.tensorflow.org/static/site-assets/images/marketing/cards/tile_tool_tf_research_cloud.jpg) [TPU Research Cloud](https://sites.research.google/trc/) The TPU Research Cloud (TRC) program enables researchers to apply for access to a cluster of more than 1,000 Cloud TPUs at no charge to help them accelerate the next wave of research breakthroughs.
[Learn more](https://sites.research.google/trc/) ![](https://www.tensorflow.org/static/site-assets/images/marketing/cards/tile_tool_mlir.jpg) [MLIR](https://www.tensorflow.org/mlir) A new intermediate representation and compiler framework.
[Learn more](https://www.tensorflow.org/mlir)

## Explore libraries that build advanced models, methods, and extensions using TensorFlow

[See libraries](https://www.tensorflow.org/resources/libraries-extensions)