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  1. Stackups
  2. DevOps
  3. Build Automation
  4. Feature Flags Management
  5. Flagr vs LaunchDarkly

Flagr vs LaunchDarkly

OverviewComparisonAlternatives

Overview

LaunchDarkly
LaunchDarkly
Stacks322
Followers309
Votes6
Flagr
Flagr
Stacks7
Followers35
Votes4

Flagr vs LaunchDarkly: What are the differences?

<!-- Write Introduction here -->
  1. Integration Options: In terms of integration options, LaunchDarkly provides multiple SDKs and a REST API for easy integration, whereas Flagr primarily focuses on API integration, providing flexibility for developers to build their custom integrations.
  2. Pricing Model: LaunchDarkly follows a tiered pricing model based on the number of feature flags and user requests, while Flagr is open-source with no associated costs, making it a more budget-friendly option for organizations.
  3. Feature Management Capabilities: LaunchDarkly offers advanced feature management capabilities such as custom rules and targeting, whereas Flagr focuses on core A/B testing and feature flagging functionalities without these advanced capabilities.
  4. User Interface: LaunchDarkly provides a user-friendly web interface for feature flag management and monitoring, whereas Flagr relies more on API calls and configurations, which may require a steeper learning curve for some users.
  5. Community Support: LaunchDarkly has a robust community support system and documentation, while Flagr's community support may be more limited in comparison, potentially impacting troubleshooting and development support.

In Summary, Flagr and LaunchDarkly differ in integration options, pricing models, feature management capabilities, user interface design, and community support.

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Detailed Comparison

LaunchDarkly
LaunchDarkly
Flagr
Flagr

Serving over 200 billion feature flags daily to help software teams build better software, faster. LaunchDarkly helps eliminate risk for developers and operations teams from the software development cycle.

Open-source Go microservice supports feature flagging, A/B testing, and dynamic configuration. Logs data records and impressions.

Create custom environments;Team management;Create goals;Target or exclude user segments;New Relic integration;Optimizely integration;Audit logging;Custom roles and permissions
Makes the rollout process easy; Supports feature flagging, A/B testing, and dynamic configuration; Can run multi-variants experimentation; Not limited to binary on/off toggles; Can target any audience, using rich constraints to define user segmentation; Logs data records and impressions
Statistics
Stacks
322
Stacks
7
Followers
309
Followers
35
Votes
6
Votes
4
Pros & Cons
Pros
  • 6
    Easy to use UI
Pros
  • 3
    Open Source
  • 1
    Multi-variant
Integrations
No integrations available
Golang
Golang
JavaScript
JavaScript
Ruby
Ruby
Python
Python

What are some alternatives to LaunchDarkly, Flagr?

ConfigCat

ConfigCat

Cross-platform feature flag service for Teams. It is a hosted or on-premise service with a web app for feature management, and SDKs for all major programming languages and technologies.

Unleash Hosted

Unleash Hosted

It is a simple feature management system. It gives you great overview of all feature toggles across all your applications. You decide who is exposed to which feature.

Airship

Airship

Airship is a modern product flagging framework that gives the right people total control over what your customers see & experience - without deploying code.

Split

Split

Feature flags as a service for data-driven teams: Split automatically tracks changes to key metrics during every feature rollout. Split serves billions of impressions, helping organizations of all sizes to rapidly turn ideas into products.

Flagsmith

Flagsmith

It lets you manage features flags and remote config across web, mobile and server side applications. Use our hosted API, deploy to your own private cloud, or run on-premises.

Rollout

Rollout

Advanced feature flag solution that lets your dev teams quickly build & deploy applications without compromising on safety. A simple way to define target audiences allows devs & PMs optimize feature releases and customize user experience

FF4J

FF4J

It is an implementation of Feature Toggle pattern : Enable and disable features or your applications at runtime thanks to dedicated web console, REST API, JMX or even CLI. It handle also properties and provide generic interfaces.

Bullet Train

Bullet Train

Manage feature flags across web, mobile and server side applications. Deliver true Continuous Integration. Get builds out faster. Control who has access to new features.

Optimizely Full Stack

Optimizely Full Stack

It is an experimentation and feature flagging platform for websites, mobile apps, chatbots, APIs, smart devices, and anything else with a network connection. You can deploy code behind feature flags, experiment with A/B tests, and rollout or rollback features immediately. All of this functionality is available with zero performance impact via easy-to-use SDKs.

DevCycle

DevCycle

It helps modern product engineering teams release code faster and safer. It is a new vision for feature flags that goes beyond risk reduction and enables dev teams to maximize feature impact, with a focus on usability and key integrations from day 1.

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