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# Keras vs TFLearn Comparison - What are their main differences?

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KerasTFLearn[+ Add Product](#)

Reviews

**Keras** [

4.6/5(65)

](https://www.g2.com/products/keras/reviews#reviews)

**TFLearn** [

4/5(20)

](https://www.g2.com/products/tflearn/reviews#reviews)

Pricing

**Keras**
No pricing available

**TFLearn**
No pricing available

**Pricing Insights**
from reviews

Time to Implement

**Keras**
1 month

Based on 7 responses

**TFLearn**
Not enough reviews yet

Return on Investment

**Keras**
Not enough reviews yet

**TFLearn**
Not enough reviews yet

Perceived Cost

**Keras**
$$$$$

**TFLearn**
$$$$$

Average Discount

**Keras**
Not enough reviews yet

**TFLearn**
Not enough reviews yet

Pros & Cons

**Keras**
Not enough data

**TFLearn**
Not enough data

Integrations

**Keras**
[

 ![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_d9a7abebb513247473f9558b56431a72/tensorflow.jpg "Product Avatar Image")

TensorFlow

](https://www.g2.com/products/tensorflow/reviews)[
View all
](https://www.g2.com/products/keras/integrations)

**TFLearn**
Not enough data

Ratings

Meets Requirements

**Keras**

8.9

8.951

**TFLearn**

8.7

8.720

Ease of Use

**Keras**

8.9

8.951

**TFLearn**

8.9

8.920

Ease of Setup

**Keras**

8.7

8.725

**TFLearn**

9.4

9.411

Ease of Admin

**Keras**

7.8

7.820

**TFLearn**

8.1

8.17

Quality of Support

**Keras**

7.8

7.842

**TFLearn**

6.9

6.917

Has the product been a good partner in doing business?

**Keras**

8.2

8.217

**TFLearn**

8.5

8.510

Product Direction (% positive)

**Keras**

9.3

9.349

**TFLearn**

7.4

7.418

Features

Show 3 feature categories with incomplete data

Artificial Intelligence[Hide 37 FeaturesShow 37 Features](javascript:void(0);)

Not enough data

Not enough data

Additional Functionality

Tagging

Not enough data

Not enough data

Natural Language Processing

Not enough data

Not enough data

Data Extraction

Not enough data

Not enough data

Multi-Language

Not enough data

Not enough data

Predictive Analytics

Not enough data

Not enough data

Drag & Drop

Not enough data

Not enough data

Speech Recognition

Not enough data

Not enough data

Reporting/Analytics

Not enough data

Not enough data

Data Storage Management

Not enough data

Not enough data

Virtual Personal Assistant (VPA)

Not enough data

Not enough data

AI Copilot

Not enough data

Not enough data

Customer Segmentation

Not enough data

Not enough data

Collaboration Tools

Not enough data

Not enough data

Data Import/Export

Not enough data

Not enough data

Generative AI

Not enough data

Not enough data

For eCommerce

Not enough data

Not enough data

Role-Based Permissions

Not enough data

Not enough data

Customizable Branding

Not enough data

Not enough data

Search/Filter

Not enough data

Not enough data

Monitoring

Not enough data

Not enough data

Document Management

Not enough data

Not enough data

API

Not enough data

Not enough data

Data Visualization

Not enough data

Not enough data

Trend Analysis

Not enough data

Not enough data

Machine Learning

Not enough data

Not enough data

Access Controls/Permissions

Not enough data

Not enough data

Alerts/Escalation

Not enough data

Not enough data

Performance Metrics

Not enough data

Not enough data

Real-Time Data

Not enough data

Not enough data

Third-Party Integrations

Not enough data

Not enough data

Mobile App

Not enough data

Not enough data

Multiple Data Sources

Not enough data

Not enough data

For Sales Teams/Organizations

Not enough data

Not enough data

Sentiment Analysis

Not enough data

Not enough data

Activity Dashboard

Not enough data

Not enough data

Chatbot

Not enough data

Not enough data

Workflow Automation

Not enough data

Not enough data

Deep Learning[Hide 49 FeaturesShow 49 Features](javascript:void(0);)

Not enough data

Not enough data

Additional Functionality

No-Code

Not enough data

Not enough data

Search/Filter

Not enough data

Not enough data

Data Import/Export

Not enough data

Not enough data

Data Visualization

Not enough data

Not enough data

Activity Dashboard

Not enough data

Not enough data

Workflow Management

Not enough data

Not enough data

Quality Control

Not enough data

Not enough data

Third-Party Integrations

Not enough data

Not enough data

Model Training

Not enough data

Not enough data

Multi-Language

Not enough data

Not enough data

Data Profiling

Not enough data

Not enough data

Visualization

Not enough data

Not enough data

Data Capture and Transfer

Not enough data

Not enough data

Predictive Analytics

Not enough data

Not enough data

Performance Metrics

Not enough data

Not enough data

Image Recognition

Not enough data

Not enough data

Version Control

Not enough data

Not enough data

Neural Network Modeling

Not enough data

Not enough data

Generative AI

Not enough data

Not enough data

Synchronous Learning

Not enough data

Not enough data

Natural Language Processing

Not enough data

Not enough data

Monitoring

Not enough data

Not enough data

Data Transformation

Not enough data

Not enough data

Customizable Reports

Not enough data

Not enough data

Voice Recognition

Not enough data

Not enough data

Performance Management

Not enough data

Not enough data

Compliance Management

Not enough data

Not enough data

Troubleshooting

Not enough data

Not enough data

Content Management

Not enough data

Not enough data

Asynchronous Learning

Not enough data

Not enough data

Real-Time Reporting

Not enough data

Not enough data

API

Not enough data

Not enough data

Artificial Neural Networks

Not enough data

Not enough data

AI Copilot

Not enough data

Not enough data

ML Algorithm Library

Not enough data

Not enough data

Real-Time Data

Not enough data

Not enough data

Collaboration Tools

Not enough data

Not enough data

Self-paced Learning

Not enough data

Not enough data

Data Extraction

Not enough data

Not enough data

Configuration Management

Not enough data

Not enough data

Data Security

Not enough data

Not enough data

Visual Analytics

Not enough data

Not enough data

Activity Tracking

Not enough data

Not enough data

Continuous Delivery

Not enough data

Not enough data

Document Classification

Not enough data

Not enough data

Image Analysis

Not enough data

Not enough data

Progress Tracking

Not enough data

Not enough data

Reporting & Statistics

Not enough data

Not enough data

Real-Time Monitoring

Not enough data

Not enough data

Artificial Neural Network[Hide 23 FeaturesShow 23 Features](javascript:void(0);)

Not enough data

Not enough data

Core Functionality - Artificial Neural Network

Neural Network Training

Not enough data

Not enough data

Neural Network Testing

Not enough data

Not enough data

Model Evaluation

Not enough data

Not enough data

Compliance

Not enough data

Not enough data

Data Handling - Artificial Neural Network

Data Integration

Not enough data

Not enough data

Data Preprocessing

Not enough data

Not enough data

Performance - Artificial Neural Network

Model Optimization

Not enough data

Not enough data

Scalability

Not enough data

Not enough data

Usability - Artificial Neural Network

User Interface

Not enough data

Not enough data

Documentation & Support

Not enough data

Not enough data

Customizability

Not enough data

Not enough data

Advanced Features - Artificial Neural Network

Deep Learning Capabilities

Not enough data

Not enough data

Transfer Learning

Not enough data

Not enough data

Real-Time Processing

Not enough data

Not enough data

Automated Model Tuning

Not enough data

Not enough data

Visualization Tools

Not enough data

Not enough data

Agentic AI - Artificial Neural Network

Autonomous Task Execution

Not enough data

Not enough data

Multi-step Planning

Not enough data

Not enough data

Cross-system Integration

Not enough data

Not enough data

Adaptive Learning

Not enough data

Not enough data

Natural Language Interaction

Not enough data

Not enough data

Proactive Assistance

Not enough data

Not enough data

Decision Making

Not enough data

Not enough data

User Insights

Reviewers' Company Size

[![Keras](https://images.g2crowd.com/uploads/product/image/thumb_square/thumb_square_d382c4826ad8a3805f72b9df3ab5b56e/keras.png "Keras")](https://www.g2.com/products/keras/reviews)

Keras

Small-Business(50 or fewer emp.)

39.1%

Mid-Market(51-1000 emp.)

31.3%

Enterprise(\> 1000 emp.)

29.7%

[![TFLearn](https://images.g2crowd.com/uploads/product/image/thumb_square/thumb_square_7946aef579155a4bc14573449ee6f3ef/tflearn.png "TFLearn")](https://www.g2.com/products/tflearn/reviews)

TFLearn

Small-Business(50 or fewer emp.)

55.0%

Mid-Market(51-1000 emp.)

15.0%

Enterprise(\> 1000 emp.)

30.0%

Small-Business

(50 or fewer emp.)

39.1%

55.0%

Mid-Market

(51-1000 emp.)

31.3%

15.0%

Enterprise

(\> 1000 emp.)

29.7%

30.0%

Reviewers' Industry

[![Keras](https://images.g2crowd.com/uploads/product/image/thumb_square/thumb_square_d382c4826ad8a3805f72b9df3ab5b56e/keras.png "Keras")](https://www.g2.com/products/keras/reviews)
Keras

Computer Software

20.3%

Information Technology and Services

17.2%

Research

14.1%

Telecommunications

7.8%

Education Management

4.7%

Other

35.9%

[![TFLearn](https://images.g2crowd.com/uploads/product/image/thumb_square/thumb_square_7946aef579155a4bc14573449ee6f3ef/tflearn.png "TFLearn")](https://www.g2.com/products/tflearn/reviews)
TFLearn

Information Technology and Services

25.0%

Computer Software

25.0%

Research

20.0%

Medical Devices

5.0%

Legal Services

5.0%

Other

20.0%

FAQs

## Keras vs TFLearn FAQs

Generated using AI

Last updated: August 15, 2026

### What is the difference between Keras vs TFLearn?

Keras stands out for its higher G2 rating and stronger support, while TFLearn is rated higher for ease of setup.

| [Keras](https://www.g2.com/products/keras/reviews) | [TFLearn](https://www.g2.com/products/tflearn/reviews) |
| --- | --- |
| 4.6/5 (65 reviews) | 4.0/5 (20 reviews) |
| Small-Business | Small-Business |
| 8.7 | 9.4 |
| 7.8 | 6.9 |
| Versatile tool for machine learning, computer vision, and deep learning | Very easy to learn, provides all complex functions |

### How do the pricing models of Keras and TFLearn compare?

Keras is favored by reviewers for value, as reflected in its higher satisfaction scores related to price and cost.

- **Keras:** In recent reviews, many highlight Keras as a strong value due to its open-source nature and broad functionality for deep learning tasks.
- **TFLearn:** Reviewers appreciate TFLearn for its ease of use and rapid prototyping, but do not emphasize value or cost advantages over Keras.

### What are the best alternatives to Keras and TFLearn?

The top 3 alternatives to Keras and TFLearn are Knet, Microsoft Cognitive Toolkit (CNTK), and NVIDIA Deep Learning GPU Training System (DIGITS).

| Product | G2 Rating (reviews) | Pricing Insight | Top Reviewer-Cited Strength |
| --- | --- | --- | --- |
| [Keras](https://www.g2.com/products/keras/reviews) | 4.6/5 (65 reviews) | Open-source, strong value | Versatile tool for machine learning, computer vision, and deep learning |
| [TFLearn](https://www.g2.com/products/tflearn/reviews) | 4.0/5 (20 reviews) | — | Very easy to learn, provides all complex functions |
| [Knet](https://www.g2.com/products/knet/reviews) | 4.3/5 (12 reviews) | — | — |
| [Microsoft Cognitive Toolkit (CNTK)](https://www.g2.com/products/microsoft-cognitive-toolkit-formerly-cntk/reviews) | 4.2/5 (22 reviews) | — | — |
| [NVIDIA Deep Learning GPU Training System (DIGITS)](https://www.g2.com/products/nvidia-deep-learning-gpu-training-system-digits/reviews) | 4.5/5 (23 reviews) | — | — |

### Which Artificial Neural Network features should I prioritize when comparing Keras and TFLearn?

Buyers should prioritize ease of setup, quality of support, integration capabilities, ease of use, and versatility for deep learning tasks when comparing Keras and TFLearn.

- **Ease of Setup:** Keras 8.7, TFLearn 9.4
- **Quality of Support:** Keras 7.8, TFLearn 6.9
- **Integration Capabilities:** Keras integrates with TensorFlow (30 all-time mentions); TFLearn integrates with TensorFlow
- **Ease of Use:** Keras 8.9, TFLearn 8.9
- **Versatility for Deep Learning Tasks:** Keras is frequently cited for versatility in machine learning, computer vision, and deep learning

### What are the pros and cons of Keras vs TFLearn?

Keras is praised for its versatility and ease of use, while TFLearn is recognized for rapid prototyping and clean syntax.

- **Keras strengths:** Versatile tool for machine learning, computer vision, and deep learning; easy to use and implement; strong integration with TensorFlow; well-documented and beginner-friendly.
- **Keras trade-offs:** Advanced customization can be challenging; some compatibility and installation issues; debugging errors can be difficult; limited support for languages other than Python.
- **TFLearn strengths:** Very easy to learn; rapid prototyping with fewer lines of code; clean and transparent syntax; strong visualization support.
- **TFLearn trade-offs:** Limited language support (Python only); fewer advanced features compared to Keras; less robust community and documentation; some compatibility issues with TensorFlow updates.

### Is Keras or TFLearn better for small businesses?

Keras is the stronger fit for small businesses, supported by its largest segment and positive reviewer sentiment.

- **Keras:** Largest segment is Small-Business; reviewers highlight ease of use, quick implementation, and strong documentation as benefits for small teams.
- **TFLearn:** Largest segment is Small-Business; reviewers note ease of learning and rapid prototyping, but mention limited language support and documentation.

### Which Artificial Neural Network platform has better integrations?

Keras is favored for integrations, especially with TensorFlow, as cited by reviewers.

- **Keras:** Integrates with TensorFlow, with 30 all-time G2 review mentions.
- **TFLearn:** Integrates with TensorFlow, mentioned in recent reviews.

### How do Keras and TFLearn compare on customer support?

Keras outperforms TFLearn on Quality of Support by a material margin of 0.9 points (7.8 vs 6.9).

- **Keras:** Reviewers consistently cite strong documentation, active community, and helpful support resources.
- **TFLearn:** Reviewers mention adequate support but note limited documentation and a smaller community.

### Which is easier to implement, Keras or TFLearn?

TFLearn leads Keras on Ease of Setup by 0.7 points (9.4 vs 8.7), a material difference.

- **Keras:** Reviewers describe setup as generally straightforward but note occasional compatibility and installation challenges, especially on Windows.
- **TFLearn:** Reviewers highlight very easy and fast setup, with rapid prototyping and minimal configuration required.

Alternatives

**Keras Alternatives**

 ![Knet](https://images.g2crowd.com/uploads/product/image/thumb_square/thumb_square_57dd97ecbc77b248c077fd49ed91e856/knet.png "Knet")

[
Knet
](/products/knet/reviews)

 ![NVIDIA Deep Learning GPU Training System (DIGITS)](https://images.g2crowd.com/uploads/product/image/thumb_square/thumb_square_830fb77213a282d39528c391705fe0c7/nvidia-deep-learning-gpu-training-system-digits.jpeg "NVIDIA Deep Learning GPU Training System (DIGITS)")

[
NVIDIA Deep Learning GPU...
](/products/nvidia-deep-learning-gpu-training-system-digits/reviews)

 ![Microsoft Cognitive Toolkit (Formerly CNTK)](https://images.g2crowd.com/uploads/product/image/thumb_square/thumb_square_ba028ad6bf0db22d615af59f2f972e74/microsoft-cognitive-toolkit-formerly-cntk.jpg "Microsoft Cognitive Toolkit (Formerly CNTK)")

[
Microsoft Cognitive Toolkit...
](/products/microsoft-cognitive-toolkit-formerly-cntk/reviews)

 ![DeepPy](https://images.g2crowd.com/uploads/product/image/thumb_square/thumb_square_360e38de85686cf0d7ab7a64c6bff49d/deeppy.png "DeepPy")

[
DeepPy
](/products/deeppy/reviews)

**TFLearn Alternatives**

 ![Google Cloud Deep Learning Containers](https://images.g2crowd.com/uploads/product/image/thumb_square/thumb_square_aebfa0060e4d177ff850535a1cd26ec3/google-cloud-deep-learning-containers.jpg "Google Cloud Deep Learning Containers")

[
Google Cloud Deep Learning...
](/products/google-cloud-deep-learning-containers/reviews)

 ![Google Cloud Deep Learning VM Image](https://images.g2crowd.com/uploads/product/image/thumb_square/thumb_square_2772b870435831f9180919daf29641dc/google-cloud-deep-learning-vm-image.jpg "Google Cloud Deep Learning VM Image")

[
Google Cloud Deep Learning...
](/products/google-cloud-deep-learning-vm-image/reviews)

 ![Microsoft Cognitive Toolkit (Formerly CNTK)](https://images.g2crowd.com/uploads/product/image/thumb_square/thumb_square_ba028ad6bf0db22d615af59f2f972e74/microsoft-cognitive-toolkit-formerly-cntk.jpg "Microsoft Cognitive Toolkit (Formerly CNTK)")

[
Microsoft Cognitive Toolkit...
](/products/microsoft-cognitive-toolkit-formerly-cntk/reviews)

 ![DeepPy](https://images.g2crowd.com/uploads/product/image/thumb_square/thumb_square_360e38de85686cf0d7ab7a64c6bff49d/deeppy.png "DeepPy")

[
DeepPy
](/products/deeppy/reviews)

## Keras vs TFLearn

When assessing the two solutions, reviewers found them equally easy to use. However, TFLearn is easier to set up and administer. Reviewers also preferred doing business with TFLearn overall.

- Reviewers felt that Keras meets the needs of their business better than TFLearn.
- When comparing quality of ongoing product support, reviewers felt that Keras is the preferred option.
- For feature updates and roadmaps, our reviewers preferred the direction of Keras over TFLearn.