Keras VS TensorFlow

Let’s have a side-by-side comparison of Keras vs TensorFlow to find out which one is better. This software comparison between Keras and TensorFlow is based on genuine user reviews. Compare software prices, features, support, ease of use, and user reviews to make the best choice between these, and decide whether Keras or TensorFlow fits your business.

Keras

Keras
Discover the power of Keras: an API designed for human beings. Reduce cognitive load, enhance speed, elegance, and deployability in Machine Learning apps.

TensorFlow

TensorFlow
Discover the power of TensorFlow - an open-source machine learning platform with versatile tools, extensive libraries, and a supportive community. Build and deploy machine learning models for image recognition, natural language processing, and predictive analytics.

Keras

Launched 2015-04
Pricing Model
Starting Price
Tech used Google Tag Manager,Amazon AWS CloudFront,Google Fonts,Bootstrap,Amazon AWS S3
Tag Software Development,Data Science,Code Generation

TensorFlow

Launched 2015-08
Pricing Model Free
Starting Price
Tech used Google Fonts,Google Cloud Platform,RSS
Tag Predictive Analytics

Keras Rank/Visit

Global Rank 147597
Country India
Month Visit 308086

Top 5 Countries

11.24%
7.35%
5.51%
5.37%
4.28%
India United States Germany Indonesia Brazil

Traffic Sources

2.21%
0.71%
0.1%
8%
58.5%
30.45%
social paidReferrals mail referrals search direct

TensorFlow Rank/Visit

Global Rank 39468
Country United States
Month Visit 930452

Top 5 Countries

15.08%
12.24%
5.48%
4.31%
4.06%
United States India Korea, Republic of China Germany

Traffic Sources

0.96%
0.42%
0.04%
4.2%
67.44%
26.94%
social paidReferrals mail referrals search direct

Estimated traffic data from Similarweb

What are some alternatives?

When comparing Keras and TensorFlow, you can also consider the following products

DeepKE - DeepKE: Unified toolkit for high-precision Knowledge Extraction. Conquer low-resource, multimodal, & document-level data to build robust Knowledge Graphs.

Caffe - Caffe is a deep learning framework made with expression, speed, and modularity in mind.

DeepInfra - Run the top AI models using a simple API, pay per use. Low cost, scalable and production ready infrastructure.

KeaML Deployments - Streamline your AI development journey with KeaML - pre-configured environments, optimized resources, and collaborative tools. Experience seamless AI projects.

ktransformers - KTransformers, an open - source project by Tsinghua's KVCache.AI team and QuJing Tech, optimizes large - language model inference. It reduces hardware thresholds, runs 671B - parameter models on 24GB - VRAM single - GPUs, boosts inference speed (up to 286 tokens/s pre - processing, 14 tokens/s generation), and is suitable for personal, enterprise, and academic use.

More Alternatives