Overview

LaunchDarkly

Stacks322

Followers309

Votes6

Flagr

Stacks7

Followers35

Votes4

Flagr vs LaunchDarkly: What are the differences?

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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.
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.
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.
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.
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	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 JavaScript Ruby Python

What are some alternatives to LaunchDarkly, Flagr?

ConfigCat

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Unleash Hosted

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Airship

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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.

Rollout

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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.

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.

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.

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 Rollouts

It is unlimited free feature flags and rollouts built on an enterprise-grade platform. Manage your features remotely and roll them out gradually to targeted audiences, without re-deploying your code. Connect Rollouts with Jira and invite your product and engineering teams to work together.