Software Alternatives, Accelerators & Startups

Labelf AI VS LaunchDarkly

Compare Labelf AI VS LaunchDarkly and see what are their differences

Labelf AI logo Labelf AI

The Labelf AI Platform aims to let anyone, no matter previous knowledge, create and use AI text classification models.

LaunchDarkly logo LaunchDarkly

LaunchDarkly is a powerful development tool which allows software developers to roll out updates and new features.
  • Labelf AI Landing page
    Landing page //
    2022-11-22

Labelf AI aims to let anyone, no matter previous knowledge, create and use AI text classification models. We use an advanced approach to active learning to accelerate training on both labeled and unlabeled data. Can also be used for data analysis and will hook into most Customer support systems. Can be used for Document Classification, Automated Product Tagging, Automatic Support Ticket Tagging, Chat and Forum Moderation, Social Listening, Survey Analysis, Sales Stage Identification, Finding Sales leads and much more. Labelf models can also classify texts in any language despite having only been trained on data in one language.

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

Labelf AI

Website
labelf.ai
$ Details
freemium $199.0 / Monthly (5000 api calls)
Release Date
2022 January

Labelf AI videos

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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 Labelf AI and LaunchDarkly)
AI
100 100%
0% 0
Feature Flags
0 0%
100% 100
Developer Tools
12 12%
88% 88
Design Tools
100 100%
0% 0

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Labelf AI and LaunchDarkly

Labelf AI Reviews

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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 seems to be more popular. 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.

Labelf AI mentions (0)

We have not tracked any mentions of Labelf AI yet. Tracking of Labelf AI recommendations started around Nov 2021.

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 / 14 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: 6 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 Labelf AI and LaunchDarkly, you can also consider the following products

This Person Does Not Exist - Computer generated people. Refresh to get a new one.

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.

Deploifai - Software platform for deploying AI models and ML training

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

Gofind AI - Snap a picture and find similar items to buy instantly

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