Software Alternatives, Accelerators & Startups

Labelbox VS LaunchDarkly

Compare Labelbox VS LaunchDarkly and see what are their differences

Labelbox logo Labelbox

Build computer vision products for the real world

LaunchDarkly logo LaunchDarkly

LaunchDarkly is a powerful development tool which allows software developers to roll out updates and new features.
  • 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.

  • LaunchDarkly Landing page
    Landing page //
    2023-09-12

Labelbox videos

Review App : Labelbox

More videos:

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

LaunchDarkly videos

How LaunchDarkly Enables Product Managers to Test in Production

More videos:

  • Review - Getting Started with Feature Flags - #1 LaunchDarkly Feature Flags
  • Review - Show & Tell with LaunchDarkly's Edith Harbaugh: Mobile Feature Flags

Category Popularity

0-100% (relative to Labelbox and LaunchDarkly)
Data Labeling
100 100%
0% 0
Feature Flags
0 0%
100% 100
Image Annotation
100 100%
0% 0
Developer Tools
0 0%
100% 100

User comments

Share your experience with using Labelbox and LaunchDarkly. 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 LaunchDarkly

Labelbox Reviews

  1. Unreliable

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

    🏁 Competitors: Diffgram
    👎 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 – there is no playback option.
Source: innotescus.io

LaunchDarkly Reviews

Top Mobile Feature Flag Tools
LaunchDarkly is another dedicated feature flag management tool that offers extensive features. They support a variety of platforms and languages and boast clients like Microsoft, Atlassian, and Invision. Like Rollout, LaunchDarkly offers all the features of an enterprise-grade tool but, unlike Rollout, reserves the security features for the “Enterprise” plan. Out of the box,...
Source: instabug.com
Feature Toggling Tools for $100 or less
A differentiating factor is the functionality to schedule releases through the console, LaunchDarkly and FeatureFlow have incorporated this into their front end. Another front-end feature of interest is user segmentation management, which is available with LaunchDarkly, Rollout, and Bullet train subscriptions.
Source: medium.com

Social recommendations and mentions

Based on our record, LaunchDarkly should be more popular than Labelbox. It has been mentiond 37 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 (8)

  • 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 / over 1 year 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 I’m honestly still very confused. Any help... Source: almost 2 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 2 years ago
  • [D] Any recommendations for image annotation software .
    LabelBox - they provide free versions for research. Source: about 2 years ago
  • Video box annotation tool for Google Cloud Video Intelligence autoML CSV format ?
    Doing some progress, labelbox.com allows me to do the Video annotation, and access all data through python SDK/API... Working on converting myself to CSV GCP format :-). Source: about 2 years ago
View more

LaunchDarkly mentions (37)

  • How to Add Paid Features to Your SaaS Apps
    This kind of goes without saying since it's the opposite of the first don't I listed, but it's worth restating and giving some examples. Using tools from third parties means taking advantage of what they have done so you don't have to do that work. This means you are free to build things that make your app special. I like to use feature flag tools for this. Some examples are LaunchDarkly, Split, and AWS App... - Source: dev.to / 4 days ago
  • Pivoting a million dollar DevTool startup
    Taplytics is a broad A/B testing platform for marketing teams. While DevCycle is a feature flagging tool built for developers. Taplytics actually has feature flagging, but DevCycle is much more focused and plans to compete directly with incumbents like LaunchDarkly by building a better developer experience (more on how later). But with Taplytics they built so many features and every customer was using them in a... - Source: dev.to / 4 months ago
  • Arc Update - 1.20.1 (43987)
    I had a custom rule added to Little Snitch that blocked the following domains: launchdarkly.com, clientstream.launchdarkly.com, mobile.launchdarkly.com. Source: 5 months ago
  • Feature flags implementation in Nest.js 😻
    There are however Saas to implement directly a feature management system. Several solutions exist like LaunchDarkly, Flagsmith or Unleash.io. Using a SaaS (Software as a Service) feature flagging solution offers the advantage of a faster and more straightforward implementation process. These services are readily available and can be quickly integrated into your project. - Source: dev.to / 8 months ago
  • Boost DX, Enhance UX, and Skyrocket Profits! Dive into a sub-50ms world with Edge Feature Flags 🚀
    Currently, there are numerous feature flag systems available. Options include our own company's open-source system, "Bucketeer", and the renowned SaaS "LaunchDarkly" among others. When comparing these, the following considerations might come into play:. - Source: dev.to / 8 months ago
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What are some alternatives?

When comparing Labelbox and LaunchDarkly, 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.

Flagsmith - Flagsmith lets you manage feature flags and remote config across web, mobile and server side applications. Deliver true Continuous Integration. Get builds out faster. Control who has access to new features. We're Open Source.

V7 - Pixel perfect image labeling for industrial, medical, and large scale dataset creation. Create ground truth 10 times faster.

ConfigCat - ConfigCat is a developer-centric feature flag service with unlimited team size, awesome support, and a reasonable price tag.

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

Unleash - Open source Feature toggle/flag service. Helps developers decrease their time-to-market and to increase learning through experimentation.