Software Alternatives, Accelerators & Startups

LaunchDarkly VS Humanloop

Compare LaunchDarkly VS Humanloop and see what are their differences

LaunchDarkly logo LaunchDarkly

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

Humanloop logo Humanloop

Train state-of-the-art language AI in the browser
  • LaunchDarkly Landing page
    Landing page //
    2023-09-12
  • Humanloop Landing page
    Landing page //
    2023-08-23

LaunchDarkly features and specs

  • Comprehensive Feature Flag Management
    LaunchDarkly offers a robust platform for feature flag management, allowing for granular control over which features are enabled for different user segments.
  • Real-time Feature Control
    Changes to feature flags can be made in real-time, reducing the need for redeploys and allowing for instant rollouts and rollbacks.
  • Scalability
    LaunchDarkly is built to handle large-scale deployments and can manage tens of millions of feature flags efficiently.
  • Team Collaboration
    The platform includes features that facilitate team collaboration, such as role-based access control and detailed audit logs.
  • Integration Capabilities
    LaunchDarkly supports integrations with a wide range of DevOps and CI/CD tools, making it easier to incorporate into existing workflows.
  • Advanced Targeting
    The platform allows for sophisticated targeting rules and user segmentation, enabling highly personalized feature rollouts.

Possible disadvantages of LaunchDarkly

  • Cost
    LaunchDarkly can be expensive, especially for smaller organizations or startups with limited budgets.
  • Learning Curve
    The platform can be complex to set up and use effectively, requiring a learning curve for new users.
  • Dependency on Internet Connectivity
    Real-time updates and functionality depend on an internet connection, which may be a limitation for some use cases.
  • Vendor Lock-in
    Once integrated, switching to another feature flag service can be time-consuming and difficult due to the level of integration and customization.
  • Limited Offline Support
    Offline support is not as robust as some other solutions, potentially affecting scenarios where intermittent connectivity is expected.
  • Enterprise Focus
    While powerful, some features and pricing models are more geared towards enterprise users, potentially alienating smaller or non-enterprise customers.

Humanloop features and specs

  • Ease of Use
    Humanloop is designed to be user-friendly, making it easier for users with varying levels of technical expertise to create and manage machine learning models.
  • Interactivity
    The platform provides an interactive environment where users can iteratively improve their models by integrating human feedback, leading to better performance.
  • Time Savings
    By facilitating faster model iteration and immediate feedback, Humanloop helps save significant time in the machine learning development cycle.
  • Integration Capabilities
    Humanloop offers robust integration options with various tools and platforms, helping users streamline their workflows.
  • Improved Model Accuracy
    The platform allows for continuous model improvement through active learning and human-in-the-loop approaches, enhancing model accuracy over time.

Possible disadvantages of Humanloop

  • Cost
    Depending on the subscription or usage level, Humanloop may become expensive, particularly for small teams or individual developers.
  • Learning Curve
    Despite its user-friendly design, there can still be a learning curve for users new to machine learning or human-in-the-loop systems.
  • Dependence on Human Feedback
    The effectiveness of Humanloop relies heavily on the quality and consistency of human feedback, which can introduce variability and potential biases.
  • Data Privacy Concerns
    Handling and sharing data with a third-party platform may raise privacy and compliance concerns, particularly for sensitive information.
  • Limited Offline Functionality
    Humanloop's cloud-based nature means that its functionalities are limited or inaccessible without an internet connection.

Analysis of LaunchDarkly

Overall verdict

  • LaunchDarkly is generally regarded as a good choice for teams that require robust feature management capabilities. It is particularly beneficial for organizations practicing continuous delivery and aiming to reduce release risk while increasing development velocity.

Why this product is good

  • LaunchDarkly is considered a strong feature management platform because it allows for dynamic feature flagging, safe and controlled feature rollouts, and enhanced experimentation. It enables teams to release features to specific user segments or test them in a production environment without deploying new code. Additionally, LaunchDarkly supports real-time updates, integrates with various DevOps tools, and provides comprehensive analytics and user insights.

Recommended for

  • Development teams that prioritize feature experimentation and A/B testing
  • Organizations practicing continuous integration and continuous delivery (CI/CD)
  • Companies looking to minimize release risk and improve feature management
  • Teams requiring integration with existing DevOps and CI/CD tools

Analysis of Humanloop

Overall verdict

  • Humanloop is considered a strong choice for organizations seeking to enhance their AI model development process through interactive learning and feedback integration. Its user-friendly interface and powerful features make it a valuable tool in the AI development landscape.

Why this product is good

  • Humanloop, an AI and machine learning platform, is highly regarded for its ability to effectively integrate human feedback into AI systems. It's particularly praised for enhancing model accuracy and improving user experience by allowing for seamless annotation and model training. The platform offers tools that facilitate collaboration between developers and non-technical domain experts, making it easier to refine AI models effectively.

Recommended for

  • AI developers looking to improve model performance through human feedback.
  • Teams seeking a collaborative environment to refine AI processes.
  • Companies that need an accessible tool for both technical and non-technical staff.

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

Humanloop videos

Train and deploy NLP — Humanloop

More videos:

  • Review - The Great AI Implementation with Raza Habib of Humanloop

Category Popularity

0-100% (relative to LaunchDarkly and Humanloop)
Developer Tools
85 85%
15% 15
AI
0 0%
100% 100
Feature Flags
100 100%
0% 0
A/B Testing
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 LaunchDarkly and Humanloop

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

Humanloop Reviews

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

Social recommendations and mentions

Based on our record, LaunchDarkly should be more popular than Humanloop. 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.

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 / about 1 year 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 / over 1 year 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: over 1 year 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 / over 1 year 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 / over 1 year ago
View more

Humanloop mentions (5)

  • Ask HN: Who is hiring? (December 2024)
    Humanloop | London and San Francisco | Full time in person | https://humanloop.com Humanloop is building infrastructure for AI application development. We're the LLM Evals Platform for Enterprises. Duolingo, Gusto, and Vanta use Humanloop to evaluate, monitor, and improve their AI systems. ROLES:. - Source: Hacker News / 6 months ago
  • Show HN: PromptDoggy – Prompt Management for Product and Engineering Teams
    - https://humanloop.com/) for teaching me the philosophy of implementing a copilot textarea. I wish I could have used the project directly, but integrating just one React component into Rails while keeping importmap and StimulusJS was quite challenging. Given the limited time, I decided to move on with StimulusJS. This is our first time building an open-source project to share with the world, and we’re a bit... - Source: Hacker News / 9 months ago
  • How are generative AI companies monitoring their systems in production?
    - Conversational simulation is an emerging idea building on top of model-graded eval” - AI Startup Founder Things to consider when comparing options: “Types of metrics supported (only NLP metrics, model-graded evals, or both), level of customizability; supports component eval (i.e. Single prompts) or pipeline evals (i.e. Testing the entire pipeline, all the way from retrieval to post-processing)” “+method of... - Source: Hacker News / over 1 year ago
  • Ask HN: Who is hiring? (March 2023)
    Humanloop (YC S20) | London (or remote) | https://humanloop.com We're looking for exceptional engineers that can work at varying levels of the stack (frontend, backend, infra), who are customer obsessed and thoughtful about product (we think you have to be -- our customers are "living in the future" and we're building what's needed). Our stack is primarily Typescript, Python, GPT-3. Please apply at... - Source: Hacker News / over 2 years ago
  • Compiling a list of tools for building LLM apps
    https://humanloop.com/ Find the prompts users love and fine-tune custom models for higher performance at lower cost. - Source: Hacker News / over 2 years ago

What are some alternatives?

When comparing LaunchDarkly and Humanloop, you can also consider the following products

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.

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

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

LangChain - Framework for building applications with LLMs through composability

Unleash - Unleash is an open-source feature management platform. We are private, secure, and ready for the most complex setups out of the box.

Haystack NLP Framework - Haystack is an open source NLP framework to build applications with Transformer models and LLMs.