Software Alternatives, Accelerators & Startups

Labelbox VS Postman

Compare Labelbox VS Postman and see what are their differences

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Labelbox logo Labelbox

Build computer vision products for the real world

Postman logo Postman

The Collaboration Platform for API Development
  • Labelbox Landing page
    Landing page //
    2023-08-20

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

  • Postman Landing page
    Landing page //
    2021-07-23

Postman

Pricing URL
-
$ Details
Platforms
Windows Mac OSX Linux
Startup details
Country
India

Labelbox features and specs

  • 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 of Labelbox

  • 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.

Postman features and specs

  • User-Friendly Interface
    Postman features an intuitive and user-friendly interface that simplifies the process of constructing API requests and visualizing responses. This makes it accessible for both beginners and advanced users.
  • Collaboration
    Postman offers robust collaboration features, such as shared workspaces, collections, and real-time editing, enabling teams to work together more efficiently on API development.
  • Comprehensive Testing Tools
    Postman provides a suite of testing tools to create, automate, and manage test cases. It supports automated testing through its scripting environments, which ensure APIs perform as expected.
  • Extensive API Documentation
    Postman can automatically generate comprehensive API documentation, making it easier to maintain and share API specifications with stakeholders and other developers.
  • Mock Servers
    Postman allows users to create mock servers to simulate API responses. This is particularly useful for testing and development purposes when the actual API is not yet available.
  • Integration Capabilities
    Postman offers integrations with various CI/CD tools, version control systems, and other services like Jenkins, GitHub, and Slack, facilitating seamless integration into development workflows.

Possible disadvantages of Postman

  • Resource Intensive
    Postman can sometimes be resource-intensive, consuming substantial memory and CPU, which can impact the performance of your system, especially when dealing with large collections.
  • Steep Learning Curve for Advanced Features
    While Postman is generally user-friendly, some of its advanced features, like scripting and automation, can have a steep learning curve and might require additional effort to master.
  • Pricing
    Although Postman offers a free tier, many of its advanced features, such as enhanced collaboration tools and extended integrations, are locked behind paid plans, which may not be cost-effective for smaller teams or individual developers.
  • Dependency on Internet
    Some of Postman's features, particularly those related to collaboration and synchronization, require a stable internet connection, which can be a limitation in environments with poor connectivity.
  • Limited Native Support for Certain Protocols
    Postman primarily focuses on HTTP/HTTPS protocols and may offer limited or no native support for other protocols, which can be restricting for developers working with diverse sets of technologies.

Analysis of Labelbox

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.

Analysis of Postman

Overall verdict

  • Yes, Postman is widely regarded as a good tool for API development and testing. Its combination of powerful features and ease of use makes it a popular choice among developers.

Why this product is good

  • Postman is considered a top choice for API development due to its user-friendly interface, extensive features for testing, automation, and collaboration, and strong community support. It simplifies the process of creating, managing, and testing APIs, making it accessible for both beginners and experienced developers.

Recommended for

  • Developers working on API integration
  • QA engineers involved in testing APIs
  • Teams in need of collaborative API development
  • Developers looking to automate API testing
  • Individuals looking for a comprehensive API testing tool

Labelbox videos

Review App : Labelbox

More videos:

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

Postman videos

POST/CON 2018 workshop in review: Running Postman Collections

More videos:

  • Review - POST/CON 2018 workshop in review: Postman Collections
  • Tutorial - How to Share Postman Collections

Category Popularity

0-100% (relative to Labelbox and Postman)
Data Labeling
100 100%
0% 0
API Tools
0 0%
100% 100
Image Annotation
100 100%
0% 0
APIs
0 0%
100% 100

User comments

Share your experience with using Labelbox and Postman. 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 Labelbox and Postman

Labelbox Reviews

  1. Sharon
    ยท manager at Mcormicki ยท
    Unreliable

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

    ๐Ÿ Competitors: Diffgram
    ๐Ÿ‘Ž Cons:    Slow|Bad support

Top Video Annotation Tools Compared 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 must step through each frame to view their work โ€“ there is no playback option.
Source: innotescus.io

Postman Reviews

Postman vs Apidog: Choosing the Suitable API Development Tool
Forking Existing Collections: One of Postmanโ€™s unique strengths is the ability to fork collections created by others. Developers can easily duplicate publicly available Postman collections, modifying them to fit their particular needs without starting from scratch. This feature saves time and encourages collaboration by allowing developers to build upon existing work.
Source: dev.to
Top 20 Open Source & Cloud Free Postman Alternatives (2024 Updated)
As the digital landscape evolves, the significance of APIs (Application Programming Interfaces) has surged, facilitating seamless communication between various software applications. Postman has been a leading tool in this space, offering a comprehensive platform for API development, testing, and documentation. However, recent shifts in its pricing model and user experience...
Source: medium.com
Best Postman Alternatives To Consider in 2025
- Focus on specific needs: Does the tool excel at SOAP APIs or cater to microservices? - Resource usage: Does it handle complex projects without impacting system performance? - Script reusability: Does it allow for efficient code sharing across projects?3. Is Postman the best API tool?Not all-encompassing. While Postman is powerful, the "best" tool depends on your specific...
Postman Alternatives for API Testing and Monitoring
Some engineers turn to Postman for API testing and monitoring needs. However, Postman is a costly and limited solution. QA, DevOps and other engineers may find it lacks capabilities that can answer their needs. In this blog post, we provide 12 Postman alternatives built for the enterprise.
Beeceptor vs Postman
You cannot download request log. Although, you can use Postman APIs to query and retrieve.
Source: beeceptor.com

Social recommendations and mentions

Based on our record, Postman should be more popular than Labelbox. It has been mentiond 30 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.

Labelbox mentions (10)

  • 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 at enterprise scale. And the organizations getting the best results, like Labelbox, which cleared a multi-year vulnerability backlog by running Cursor and Snyk together, are the... - Source: dev.to / 4 months ago
  • Best Practices for Ensuring AI Agent Performance and Reliability
    Use tools like Weights & Biases, Labelbox, or Maximโ€™s data engine to version your datasets, track changes, and continuously add new edge cases and user feedback. - Source: dev.to / 12 months 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 lifecycle from creating catalogs of unstructured data all the way to building the tools for humans to label the data to teach machines. Why choose us? - Source: Hacker News / almost 4 years ago
  • Model Assisted Labeling using Label box
    Hey, I have currently developed a U-Net model for segmentation and I am trying to use the model assisted labeling feature on LabelBox to annotate some masks, so I can save time on relabeling. I am just wondering if anyone is familiar with this feature or can give me a step by step guideline on how to go about doing this. I went through the examples on their GitHub but Iโ€™m honestly still very confused. Any help... Source: almost 4 years ago
  • What MDR is doing: a Machine Learning perspective
    By now, I hope you see where I'm going with this. What is MDR doing? They're creating the labelled data used to train severance chips. They get a raw download of human brains in encoded format, and go about manually labelling the different pieces based on their most basic elements. Then, based on this manually labelled data, an algorithm can be trained to create a severance chip. MDR is basically Labelbox for... Source: about 4 years ago
View more

Postman mentions (30)

View more

What are some alternatives?

When comparing Labelbox and Postman, you can also consider the following products

Playment - Playment is a fully-managed solution offering training data for AI, transcription, data collection and enrichment services at scale.

DreamFactory - DreamFactory is an API management platform used to generate, secure, document, and extend APIs.

Supervisely - Supervisely helps people with and without machine learning expertise to create state-of-the-art...

MuleSoft Anypoint Platform - Anypoint Platform is a unified, highly productive, hybrid integration platform that creates an application network of apps, data and devices with API-led connectivity.

CloudFactory - Human-powered Data Processing for AI and Automation

Insomnia REST - Design, debug, test, and mock APIs locally, on Git, or cloud. Build better APIs collaboratively for the most popular protocols with a devโ€‘friendly UI, built-in automation, and an extensible plugin ecosystem.