
Keras
Clarifai
DeepPy
Microsoft Cognitive Toolkit (Formerly CNTK)
Merlin
Knet
Swift Brain
TFlearn is a modular and transparent deep learning library built on top of Tensorflow.

Material UI
The ultimate directory for top UI component libraries in React, Vue, Angular, Nuxt, Svelte, Rails, Weblow, and more.

Which is more popular?
Based on our record, TFlearn seems to be more popular. It has been mentioned 2 times since March 2021.
Website, pricing, platforms and company facts side by side.
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| Website | tflearn.org | componentlibraries.com |
| Pricing | ||
| Company | — | Startup from the United States · 1 - 9 employees · 2025 |
| Listed in |
In their own words, as submitted to SaaSHub.


No description of TFlearn yet.
We want builders to avoid searching for the perfect UI component library for their project and scrolling through GitHub repos, outdated blog lists, or product pages that barely show what’s inside... We built ComponentLibraries.com to make finding the right component library effortless. Browse a...
What each product offers, as listed by its team.


Possible disadvantages
An editorial look at what each product does well and who it suits.


No analysis of TFlearn yet.
Overall verdict
Why this product is good
Recommended for
Walkthroughs and reviews on video.
Face Recognition using Deep Learning | Convolutional-Neural-Network | TensorFlow | TfLearn
No ComponentLibraries videos yet. You could help us improve this page by suggesting one.
How often each product is chosen within a category, 0–100% relative to the other.


As answered by people managing TFlearn and ComponentLibraries.
ComponentLibraries's answer:
There wasn't a single platform showcasing ALL the component libraries for any framework, let alone promoting bootstrapped independent ones, so we built one!
ComponentLibraries's answer:
Next.js, Typescript, Sanity CMS
ComponentLibraries's answer:
Component Libraries is literally the only platform showcasing all the best component libraries, besides GitHub repos, outdated blog lists, or product pages.
Share your experience with using TFlearn and ComponentLibraries. For example, how are they different and which one is better?
Recommendations tracked on public social media and blogs since March 2021.


TFLearn – Deep learning library featuring a higher-level API for TensorFlow. - Source: dev.to / about 4 years ago
Both the teams in a game are given their individual ID values and are made into vectors. Relevant data like the home and away team, home runs, RBI’s, and walk’s are all taken into account and passed through layers. There’s no need to... - Source: dev.to / over 5 years ago
Tracking ComponentLibraries since Feb 2025.
When comparing TFlearn and ComponentLibraries, you can also consider the following products.

Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.
Compare Keras to TFlearn or ComponentLibraries:

A CSS Framework and a Set of React Components that Implement Google's Material Design
Compare Material UI to TFlearn or ComponentLibraries:


DeepPy is a MIT licensed deep learning framework that tries to add a touch of zen to deep learning as it allows for Pythonic programming.
Compare DeepPy to TFlearn or ComponentLibraries:

Machine Learning
Compare Microsoft Cognitive Toolkit (Formerly CNTK) to TFlearn or ComponentLibraries:

Merlin is a deep learning framework written in Julia, it aims to provide a fast, flexible and compact deep learning library for machine learning.
Compare Merlin to TFlearn or ComponentLibraries: