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Labelbox VS Requestly

Compare Labelbox VS Requestly and see what are their differences

Labelbox

Build computer vision products for the real world

Rating
1.0 · 1 review
Pricing
Open source Freemium
Alternatives Is it good?
Requestly

A Powerful API Mocking and Testing Tool

Rating
0 reviews
Pricing
Open source Freemium Free trial
Alternatives Is it good?
Tacit AI
FMEAs that stay current. Tacit AI builds DFMEAs, PFMEAs and FMECAs from your design specs, process documents, manuals and failure reports, and updates them as they change. sponsored
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?

Based on our record, Requestly should be more popular than Labelbox. It has been mentioned 35 times since March 2021.

social mentions
10 vs 35
Data Labeling popularity
100% vs 0%
alternatives listed
102 vs 240+

Base details

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

Labelbox
Requestly
Website labelbox.com requestly.com
Pricing
Open source Freemium Official pricing
Open source Freemium Free trial Official pricing
Platforms
Browser
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
Image Annotation Data Labeling AI Data Science And Machine Learning +1
Testing Localhost Tools Developer Tools Debugger Open Source API Clients +3

About Labelbox and Requestly

In their own words, as submitted to SaaSHub.

Labelbox
Requestly

A complete solution for your training data problem with fast labeling tools, human workforce, data management, a powerful API and automation features.

Read more about Labelbox

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...

Read more about Requestly

Features and specs

What each product offers, as listed by its team.

Labelbox 7 features
Requestly 15 features
  • User-Friendly Interface
    Labelbox features a clean, intuitive interface that makes it easy for users to navigate and manage their projects, even for those who are new to data labeling.
  • Collaboration Tools
    The platform includes robust collaboration tools, allowing multiple team members to work together efficiently on the same project and oversee progress in real-time.
  • API Integration
    Labelbox provides a powerful API that enables seamless integration with other tools and systems, which can help automate workflows and enhance productivity.
  • Comprehensive Annotations
    The platform supports a wide range of annotation types including bounding boxes, polygons, and more. This flexibility allows users to create detailed and precise annotations for diverse use cases.
  • Scalability
    Labelbox is designed to scale with your needs, making it suitable for small projects as well as large enterprises requiring high-volume data labeling.
  • Quality Assurance Features
    Labelbox includes features for quality control and assurance, such as review workflows and consensus scoring, to ensure the accuracy and reliability of labeled data.
  • Data Security
    With strong security protocols in place, Labelbox ensures that sensitive data is protected, meeting compliance standards for various industries.

Possible disadvantages

  • Cost
    Labelbox can be expensive, especially for small teams or startups. The cost might be prohibitive for those with limited budgets.
  • Learning Curve
    Despite its user-friendly interface, some advanced features have a learning curve, requiring time and training to leverage the platform's full potential.
  • Dependency on Internet Connection
    Since Labelbox is a cloud-based platform, a stable internet connection is required. Any internet issues can disrupt workflow and access.
  • Limited Offline Capabilities
    The platform's reliance on being cloud-based means it offers limited offline capabilities, restricting users who might need to work without internet access.
  • Feature Limitations on Basic Plans
    Some advanced features and integrations are only available in higher-tier plans, which can be restrictive for users on basic subscription plans.
  • Integration Complexity
    While powerful, API integrations can be complex and may require technical expertise to set up and maintain effectively.
  • 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

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

Labelbox
Requestly

Overall verdict

  • Labelbox is considered a good tool for data labeling, particularly in the context of machine learning and artificial intelligence projects.

Why this product is good

  • User-Friendly Interface: Labelbox offers an intuitive interface that facilitates easy navigation and efficient labeling, making it accessible for both experienced and new users.
  • Customization: It provides customizable workflows that can adapt to specific project needs, enhancing productivity and flexibility.
  • Collaboration Features: The platform supports collaboration among team members, allowing for seamless communication and efficient coordination.
  • Scalability: Labelbox is designed to handle large datasets, making it suitable for projects of varying sizes, including enterprise-level operations.
  • Integration Capabilities: The tool integrates well with other data management and machine learning frameworks, allowing for streamlined workflows.

Recommended for

  • Organizations involved in machine learning and AI development, especially those focusing on image and video data.
  • Data science teams needing a robust labeling tool that can handle large volumes of data efficiently.
  • Companies seeking a scalable solution for collaborative data annotation projects.
  • Developers and researchers who require customizable workflows and integrations with other ML tools.

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.

Videos

Walkthroughs and reviews on video.

Labelbox 3 videos + Add
Requestly 5 videos + Add

Review App : Labelbox

More videos

  • - Machine Learning Support Engineer at Labelbox
  • - Bounding box annotation with Labelbox

Session Replays by Requestly

More videos

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

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
Labelbox
Requestly
100% 100%
Data Labeling
0% 0%
0% 0%
Developer Tools
100% 100%
100% 100%
Image Annotation
0% 0%
0% 0%
Testing
100% 100%

Questions & Answers

As answered by people managing Labelbox 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 Labelbox and Requestly. For example, how are they different and which one is better?

Log in or Post with

Reviews and articles

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

Labelbox 1.0 · 1 review
Requestly no reviews yet
  • Top Video Annotation Tools Compared 2022
    innotescus.io · Jun 2022

    However, Labelbox only accepts .mp4 files into their platform, and only their most basic annotation modes have the full scope of video annotation options. When annotating videos with segmentation masks, annotators...

  • Unreliable
    SaaSHub review
    · Apr 2021

    Service goes down often. Very slow team. Slow support.

Social recommendations and mentions

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

Labelbox 10 mentions
Requestly 35 mentions
  • I Read Cursor's Security Agent Prompts, So You Don't Have To
    Cursor's security agents primarily operate in the first dimension, catching vulnerabilities in code. That's valuable and necessary work. But as you'll see in the walkthrough below, the other two dimensions matter just as much, especially... - Source: dev.to / 7 months ago
  • Best Practices for Ensuring AI Agent Performance and Reliability
    Use tools like Weights & Biases, Labelbox, or Maxim’s data engine to version your datasets, track changes, and continuously add new edge cases and user feedback. - Source: dev.to / about 1 year ago
  • Ask HN: Who is hiring? (October 2022)
    Labelbox | Remote | Frontend / WebGL, Backend, Engineering Managers | https://labelbox.com Labelbox is building the training data platform to power breakthroughs in machine learning. We provide an end to end solutions for the full AI... - Source: Hacker News / about 4 years ago

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