Requestly VS Keras

Compare Requestly VS Keras and see what are their differences

Rating: 0 reviews
Pricing: Open source Freemium Free trial

Rating: 0 reviews
Pricing: Open source

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Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

Which is more popular?

Keras might be a bit more popular than Requestly. We know about 35 links to it since March 2021 and only 35 links to Requestly.

social mentions: 35 vs 35
Developer Tools popularity: 100% vs 0%

Base details

Website, pricing, platforms and company facts side by side.

	Requestly	Keras
Website	requestly.com	keras.io
Pricing	Open source Freemium Free trial Official pricing	Open source
Platforms	Google Chrome Firefox Edge Safari Brave Opera Vivaldi Android Windows Linux Mac OSX MacOS +9	—
Company	Startup from the United States · 20 - 49 employees · 2021	—
Listed in	Testing Localhost Tools Developer Tools Debugger Open Source API Clients +3	OCR Data Science And Machine Learning Machine Learning Image Analysis +1

About Requestly and Keras

In their own words, as submitted to SaaSHub.

Requestly

Keras

Requestly is a modern and powerful companion for API Development and Testing. It is an open-source tool purpose-built to speed up and simplify API development workflow for developers and QAs. It is a combination of API Client and HTTP Interceptor that helps create and share API Contracts, testing...

Features and specs

What each product offers, as listed by its team.

Requestly 15 features

Keras 6 features

Redirect URL
Block Network Requests
Modify Request & Response Header
Modify Response
Supercharge Selenium
Session Replay
Modify Query Params
Team Workspace
API Client
API Mocks
GraphQL Support
Zero Setup
Auto Capture Sessions
Network Logs
Console Logs

User-Friendly
Keras provides a simple and intuitive interface, making it easy for beginners to start building and training models without needing extensive experience in deep learning.
Modularity
Keras follows a modular design, allowing users to easily plug in different neural network components, such as layers, activation functions, and optimizers, to create complex models.
Pre-trained Models
Keras includes a wide range of pre-trained models and offers easy integration with transfer learning techniques, reducing the time required to achieve good results on new tasks.
Integration with TensorFlow
As part of TensorFlow’s ecosystem, Keras provides deep integration with TensorFlow functionalities, enabling users to leverage TensorFlow's powerful features and performance optimizations.
Extensive Documentation
Keras has comprehensive and well-organized documentation, along with numerous tutorials and code examples, making it easier for developers to learn and use the framework.
Community Support
Keras benefits from a large and active community, which provides support through forums, GitHub, and specialized user groups, facilitating the resolution of issues and sharing of best practices.

Possible disadvantages

Performance Limitations
Due to its high-level abstraction, Keras may incur performance overheads, making it less suitable for scenarios requiring extremely fast execution and low-level optimizations.
Limited Low-Level Control
The simplicity and abstraction of Keras can be a downside for advanced users who need fine-grained control over model components and custom operations, which may require them to resort to lower-level frameworks.
Scalability Issues
In some complex applications and large-scale deployments, Keras might face scalability challenges, where more specialized or low-level frameworks could handle such tasks more efficiently.
Dependency on TensorFlow
While the integration with TensorFlow is generally an advantage, it also means that the performance and features of Keras are closely tied to the development and updates of TensorFlow.
Lagging Behind Latest Research
Keras, being a user-friendly high-level API, might not always incorporate the latest cutting-edge research advancements in deep learning as quickly as more research-oriented frameworks.

Analysis

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

Requestly

Keras

Overall verdict

Requestly is generally regarded as a good tool due to its comprehensive functionalities and ease of use. Its ability to seamlessly manage network requests makes it suitable for both beginners and experienced developers.

Why this product is good

Requestly is widely considered a valuable tool because it offers robust and flexible features for intercepting and modifying network requests. Developers and QA testers appreciate it for its ability to simulate and debug API calls efficiently. It is particularly useful for testing changes without altering the codebase and for working with web applications in development and production environments.

Recommended for

Developers looking to debug and test API endpoints.
Quality Assurance (QA) teams that require reliable testing tools for web applications.
Technical professionals who manage network traffic and need to modify or redirect requests effortlessly.
Anyone involved in web development who needs to simulate network conditions or test application behavior under different scenarios.

Overall verdict

Keras is a solid choice for deep learning projects, offering simplicity and flexibility without sacrificing performance. It is well-suited for educational purposes, research, and even deploying models in production environments.

Why this product is good

Keras is widely regarded as a good deep learning library because it provides a user-friendly API that allows for easy and fast prototyping of neural networks. It is built on top of other libraries like TensorFlow, making it robust and efficient for both beginners and experienced developers. Its modularity, extensibility, and compatibility with other tools and libraries make it a popular choice for developing deep learning models.

Recommended for

Beginners who are new to deep learning
Researchers looking for an easy-to-use platform for prototyping models
Developers working on projects that require quick experimentation and development
Individuals and companies deploying models into production environments

Videos

Walkthroughs and reviews on video.

Requestly 5 videos + Add

Keras 3 videos + Add

Session Replays by Requestly

Category popularity

How often each product is chosen within a category, 0–100% relative to the other.

Score bands 0–20 21–40 41–50 51–60 61–100

Requestly

Keras

100% 100%

Developer Tools

0% 0%

Data Science And Machine Learning

100% 100%

Testing

0% 0%

OCR

100% 100%

Questions & Answers

As answered by people managing Requestly and Keras.

Who are some of the biggest customers of your product?

Requestly's answer

Verizon
AT&T
Adobe
Salesforce
Telegraph
Intuit
Verizon

How would you describe the primary audience of your product?

Requestly's answer

Front-end developers, QAs, PMs, Digital Marketers

What makes your product unique?

Requestly's answer

Requestly is an open-source API development and testing tool that combines the capabilities of an API Client and HTTP Interceptor, making it a better alternative to Postman + Charles Proxy. It simplifies API mocking, request modification, and debugging with an intuitive no-code interface, enabling developers and QAs to test APIs efficiently.

User comments

Share your experience with using Requestly and Keras. For example, how are they different and which one is better?

Reviews and articles

External articles and on-site reviews we used to compare the two products.

Requestly no reviews yet

Keras no reviews yet

Comparing Charles Proxy, Fiddler, Wireshark, and Requestly
dev.to · Aug 2019

On the pricing front, Requestly strikes a balance between affordability and functionality. It is an open-source tool, offering freemium to individual developers and affordable pricing plans for team collaboration. We...

10 Python Libraries for Computer Vision
clouddevs.com · Jan 2024

TensorFlow and Keras are widely used libraries for machine learning, but they also offer excellent support for computer vision tasks. TensorFlow provides pre-trained models like Inception and ResNet for image...
25 Python Frameworks to Master
kinsta.com · Oct 2023

Keras is a high-level deep-learning framework capable of running on top of TensorFlow, Theano, and CNTK. It was developed by François Chollet in 2015 and is designed to provide a simple and user-friendly interface for...
15 data science tools to consider using in 2021
searchbusinessanalytics.techtarget.com · Nov 2021

Keras is a programming interface that enables data scientists to more easily access and use the TensorFlow machine learning platform. It's an open source deep learning API and framework written in Python that runs on...

Social recommendations and mentions

Recommendations tracked on public social media and blogs since March 2021.

Requestly 35 mentions

Keras 35 mentions

Why You Need a Local-First API Client (With Hands-On Example)
If you want to try a local-first workflow, you can start using Requestly here: https://requestly.com. - Source: dev.to / 10 months ago
How to use Cursor to Generate API Testcases in Requestly
That’s where automation changes the game. By pairing Cursor, an AI-powered coding assistant, with Requestly's local-first API testing and mocking platform, you can offload the grunt work of writing tests to AI while keeping execution... - Source: dev.to / 10 months ago
These 20 Awesome API Clients Will Change How You Work with APIs
Requestly is a versatile browser extension and web client used to intercept, mock, and debug APIs in real-time—perfect for frontend developers. - Source: dev.to / over 1 year ago

Top Programming Languages for AI Development in 2025
The unchallenged leader in AI development is still Python. And Keras, and robust community support. - Source: dev.to / over 1 year ago
Top 8 OpenSource Tools for AI Startups
If you need simplicity, Keras is a great high-level API built on top of TensorFlow. It lets you quickly prototype neural networks without worrying about low-level implementations. Keras is perfect for getting those first models up and... - Source: dev.to / almost 2 years ago
Top 5 Production-Ready Open Source AI Libraries for Engineering Teams
At its heart is TensorFlow Core, which provides low-level APIs for building custom models and performing computations using tensors (multi-dimensional arrays). It has a high-level API, Keras, which simplifies the process of building... - Source: dev.to / almost 2 years ago

Alternatives to Requestly and Keras

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

Postman
The Collaboration Platform for API Development

Compare Postman to Requestly or Keras:

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TensorFlow
TensorFlow is an open-source machine learning framework designed and published by Google. It tracks data flow graphs over time. Nodes in the data flow graphs represent machine learning algorithms. Read more about TensorFlow.

Compare TensorFlow to Requestly or Keras:

TensorFlow vs Requestly TensorFlow vs Keras
Proxyman.io
Proxyman is a high-performance macOS app, which enables developers to view HTTP/HTTPS requests from apps and domains.

Compare Proxyman.io to Requestly or Keras:

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PyTorch
Open source deep learning platform that provides a seamless path from research prototyping to...

Compare PyTorch to Requestly or Keras:

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Hoppscotch
Open source API development ecosystem

Compare Hoppscotch to Requestly or Keras:

Hoppscotch vs Requestly Hoppscotch vs Keras
Scikit-learn
scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.

Compare Scikit-learn to Requestly or Keras:

Scikit-learn vs Requestly Scikit-learn vs Keras