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

Flagr vs Split

OverviewComparisonAlternatives

Overview

Split
Split
Stacks119
Followers121
Votes2
Flagr
Flagr
Stacks7
Followers35
Votes4

Flagr vs Split: What are the differences?

Flagr: An open-source feature flagging and A/B testing tool. Open-source Go microservice supports feature flagging, A/B testing, and dynamic configuration. Logs data records and impressions; Split: *Split provides a unified solution for feature flags and experimentation *. 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.

Flagr and Split can be primarily classified as "Feature Flags Management" tools.

Some of the features offered by Flagr are:

  • Makes the rollout process easy
  • Supports feature flagging, A/B testing, and dynamic configuration
  • Can run multi-variants experimentation

On the other hand, Split provides the following key features:

  • Targeted Feature Release - Easily target any feature, anywhere in the stack, to the right users based on any attribute you have access to, from demographic data to in-the-browser metrics
  • Foster a culture of continuous improvement: Analyze the impact of every feature on hundreds of business, product, and operational metrics in real time
  • Rigorous statistical analysis: Split’s statistics engine provides causal analysis and guards against misleading results

Flagr is an open source tool with 791 GitHub stars and 66 GitHub forks. Here's a link to Flagr's open source repository on GitHub.

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Detailed Comparison

Split
Split
Flagr
Flagr

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.

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

Targeted Feature Release - Easily target any feature, anywhere in the stack, to the right users based on any attribute you have access to, from demographic data to in-the-browser metrics; Foster a culture of continuous improvement: Analyze the impact of every feature on hundreds of business, product, and operational metrics in real time; Rigorous statistical analysis: Split’s statistics engine provides causal analysis and guards against misleading results; Easy-to-use Web Console - Split's UI gives anyone on the team the power to target feature releases, ramp up features to your customers, and instantly kill problem features
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
119
Stacks
7
Followers
121
Followers
35
Votes
2
Votes
4
Pros & Cons
Pros
  • 1
    Affordable
  • 1
    Fast
Pros
  • 3
    Open Source
  • 1
    Multi-variant
Integrations
Datadog
Datadog
Librato
Librato
Slim Lang
Slim Lang
HipChat
HipChat
Sumo Logic
Sumo Logic
Rollbar
Rollbar
Papertrail
Papertrail
AppDynamics
AppDynamics
New Relic
New Relic
Slack
Slack
Golang
Golang
JavaScript
JavaScript
Ruby
Ruby
Python
Python

What are some alternatives to Split, 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.

LaunchDarkly

LaunchDarkly

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.

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.

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.

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.

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 Rollouts

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.

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