Best Component Libraries for TensorFlow
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Compare the Top Component Libraries that integrate with TensorFlow as of July 2025
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This a list of Component Libraries that integrate with TensorFlow. Use the filters on the left to add additional filters for products that have integrations with TensorFlow. View the products that work with TensorFlow in the table below.
What are Component Libraries for TensorFlow?
Component libraries are preconfigured sets of components, designs, styles, and code that enable developers and designers to build and design applications in a more efficient and streamlined way. A component library, also known as a UI component library, can be used across programming languages and frameworks to speed up and simplify design and development. Compare and read user reviews of the best Component Libraries for TensorFlow currently available using the table below. This list is updated regularly.
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luminoth
luminoth
Luminoth is an open source toolkit for computer vision. Currently, we support object detection, but we are aiming for much more. : Luminoth is still alpha-quality release, which means the internal and external interfaces (such as command line) are very likely to change as the codebase matures. . If you want GPU support, you should install the GPU version of TensorFlow with pip install tensorflow-gpu, or else you can use the CPU version using pip install tensorflow. Luminoth can also install TensorFlow for you if you install it with pip install luminoth[tf] or pip install luminoth[tf-gpu], depending on the version of TensorFlow you wish to use.Starting Price: Free
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