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Hugging Face VS Requestly

Compare Hugging Face VS Requestly and see what are their differences

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Contents:
  1. ยป Base Details
  2. ยป Videos
  3. ยป Reviews
  4. ยป Alternatives

Hugging Face logo Hugging Face

The AI community building the future. The platform where the machine learning community collaborates on models, datasets, and applications.

Requestly logo Requestly

A Powerfulย API Mockingย andย Testingย Tool
  • Hugging Face Landing page
    Landing page //
    2023-09-19
  • Requestly Requestly
    Requestly //
    2025-02-12
  • Requestly Rest Client
    Rest Client //
    2025-02-12
  • Requestly HTTP Interceptor
    HTTP Interceptor //
    2025-02-12
  • Requestly API Mocking
    API Mocking //
    2025-02-12
  • Requestly Requestly
    Requestly //
    2025-02-12

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 APIs, and easily mock and integrate them into web and mobile apps.

Hugging Face

Website
huggingface.co
Pricing URL
Official Hugging Face Pricing
$ Details
-
Platforms
-
Release Date
-
Startup details
Country
United States
Edit details

Requestly

Website
requestly.com
Pricing URL
Official Requestly Pricing
$ Details
freemium
Platforms
Google Chrome Firefox Edge Safari Brave Opera Vivaldi Android Windows Linux Mac OSX MacOS
Release Date
2021 January
Startup details
Country
United States
State
California
City
San Francisco
Founder(s)
Sachin Jain, Sagar Soni, Sahil Gupta
Employees
20 - 49
Edit details

Hugging Face features and specs

  • Model Availability
    Hugging Face offers a wide variety of pre-trained models for different NLP tasks such as text classification, translation, summarization, and question-answering, which can be easily accessed and implemented in projects.
  • Ease of Use
    The platform provides user-friendly APIs and transformers library that simplifies the integration and use of complex models, even for users with limited expertise in machine learning.
  • Community and Collaboration
    Hugging Face has a robust community of developers and researchers who contribute to the continuous improvement of models and tools. Users can share their models and collaborate with others within the community.
  • Documentation and Tutorials
    Extensive documentation and a variety of tutorials are available, making it easier for users to understand how to apply models to their specific needs and learn best practices.
  • Inference API
    Offers an inference API that allows users to deploy models without needing to worry about the backend infrastructure, making it easier and quicker to put models into production.

Possible disadvantages of Hugging Face

  • Compute Resources
    Many models available on Hugging Face are large and require significant computational resources for training and inference, which might be expensive or impractical for small-scale or individual projects.
  • Limited Non-English Models
    While Hugging Face is expanding its availability of models in languages other than English, the majority of well-supported and high-performing models are still predominantly for English.
  • Dependency Management
    Using the Hugging Face library can introduce a number of dependencies, which might complicate the setup and maintenance of projects, especially in a production environment.
  • Cost of Usage
    Although many resources on Hugging Face are free, certain advanced features and higher usage tiers (like the Inference API with higher throughput) require a subscription, which might be costly for startups or individual developers.
  • Model Fine-Tuning
    Fine-tuning pre-trained models for specific tasks or datasets can be complex and may require a deep understanding of both the model architecture and the specific context of the task, posing a challenge for less experienced users.

Requestly features and specs

  • 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

Analysis of Hugging Face

Overall verdict

  • Hugging Face is generally considered an excellent resource for both learning and implementing NLP technologies. Its robust and comprehensive range of tools and models support various applications, making it highly recommended in the field.

Why this product is good

  • Hugging Face is widely recognized for its contributions to the development and democratization of natural language processing (NLP). They offer a user-friendly platform with a variety of pre-trained models and tools that are highly effective for numerous NLP tasks, such as text classification, translation, sentiment analysis, and more. The community-driven approach, extensive documentation, and active forums make it accessible and supportive for both beginners and experienced users. Furthermore, Hugging Face's Transformers library is one of the most popular resources for implementing state-of-the-art NLP models.

Recommended for

  • Data scientists and machine learning engineers interested in NLP and AI.
  • Research professionals and academic institutions involved in language technology projects.
  • Developers seeking to integrate advanced language models into their applications with ease.
  • Beginners looking for accessible resources and community support in the AI and NLP space.

Analysis of Requestly

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.

Hugging Face videos

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Requestly videos

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Get Started with Requestly

More videos:

  • Demo - Session Replays by Requestly
  • Tutorial - Modify API Response using Requestly Chrome Extension
  • Tutorial - How to load local JS file in production sites for faster debugging (Map Local Tool)
  • Tutorial - Report Quality Bugs with Video, Network logs, Console logs & Environment details

Category Popularity

0-100% (relative to Hugging Face and Requestly)

Hugging Face

Requestly

AI
100 100%
AI
0% 0
Developer Tools
48 48%
Developer Tools
52% 52
Social & Communications
100 100%
Social & Communications
0% 0
Testing
0 0%
Testing
100% 100

Questions & Answers

As answered by people managing Hugging Face and Requestly.

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 Hugging Face and Requestly. For example, how are they different and which one is better?
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Reviews

These are some of the external sources and on-site user reviews we've used to compare Hugging Face and Requestly

Hugging Face Reviews

We have no reviews of Hugging Face yet.
Be the first one to post

Requestly Reviews

Comparing Charles Proxy, Fiddler, Wireshark, and Requestly
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 have also clearly differentiated how Requestly differs from Wireshark and other web debugging tools like Proxyman, Modheader, and HTTP ToolKit separately.
Source: dev.to

Social recommendations and mentions

Based on our record, Hugging Face should be more popular than Requestly. It has been mentiond 326 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Hugging Face mentions (326)

  • Integration with Hugging Face Inference API
    Hugging Face hosts thousands of open models for NLP, vision, and other tasks. The Inference API (via Inference Providers) lets you call those models over HTTP. The @huggingface/inference package from huggingface.js is the Node.js client. - Source: dev.to / about 2 months ago
  • How I built pairwise AI model compare pages with Claude Haiku and a budget cap
    Right now, I don't. If model foo is deleted from HuggingFace but its compare rows are still in the DB, those compare pages will still be served at build time. They'll have the old data until the model's row in models.json is removed โ€” which only happens if the model falls out of the top-500 in the nightly fetch. It's a known gap. For now, the risk is low; popular models don't disappear. A more robust system would... - Source: dev.to / about 2 months ago
  • How I built AI Services on Apify Using LLMs
    Apify turned out to be an excellent platform for building multi-agent systems(MAS). It allows seamless integration with modern agentic frameworks like LangGraph, CrewAI, TogetherAI, and Hugging Face. - Source: dev.to / 2 months ago
  • AI Gave the Solo Creator a Studio. The Studio Is Rented.
    The garage is not the network. ComfyUI is a workbench. It does not describe how a workflow assembled in it travels to another workbench, what license attaches to the intermediate frames, or who in a multi-tool pipeline counts as the author of the result. Hugging Face is the closest thing the field has to a shared hub for models and datasets, and is a remarkable piece of community infrastructure, and is also a... - Source: dev.to / 2 months ago
  • Albumentations in Medical Imaging: Who Actually Uses It
    All numbers below are reproducible from public APIs and public repository files: citation metadata, GitHub Code Search, the Hugging Face Hub, and root-level packaging files (requirements.txt, pyproject.toml, etc.) in each OSS repo. The org-scoped grep is org: "import albumentations". - Source: dev.to / 3 months ago
View more

Requestly mentions (35)

  • 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 / 8 months ago
  • How to use Cursor to Generate API Testcases in Requestly
    Thatโ€™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 secure and reproducible on your own system. In this article, weโ€™ll walk through how to set up Cursor with Requestly, generate test cases automatically, and run them end-to-end so that... - Source: dev.to / 8 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-timeโ€”perfect for frontend developers. - Source: dev.to / about 1 year ago
  • Best Tools for GraphQL Development in 2025
    Requestly is a powerful tool for modifying GraphQL responses, intercepting requests, and debugging API interactions. It allows developers to tweak request bodies, capture GraphQL traffic, and share sessions for easier debugging and collaboration. - Source: dev.to / over 1 year ago
  • How Not to Use AI in Software Development
    Learn more at https://requestly.com/. - Source: dev.to / over 1 year ago
View more

What are some alternatives?

When comparing Hugging Face and Requestly, you can also consider the following products

OpenAI - GPT-3 access without the wait

Postman - The Collaboration Platform for API Development

LangChain - Framework for building applications with LLMs through composability

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

Gemini - Gemini, formerly known as Bard, is a generative artificial intelligence chatbot developed by Google. Based on the large language model (LLM) of the same name, it was launched in 2023 in response to the rise of OpenAI's ChatGPT.

ngrok - ngrok enables secure introspectable tunnels to localhost webhook development tool and debugging tool.

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