Unleash.so

Unleash.so

Unleash.so is an open-source feature flag and experimentation platform that allows you to safely deploy new features and run experiments across web, mobile and backend systems. It provides support for gradual rollouts and targeting specific user segments.
Unleash.so screenshot

Unleash.so: Open-Source Feature Flag Platform

Unleash.so is an open-source feature flag and experimentation platform that allows you to safely deploy new features and run experiments across web, mobile and backend systems. It provides support for gradual rollouts and targeting specific user segments.

What is Unleash.so?

Unleash.so is an open-source feature flag and experimentation platform. It provides the following key capabilities:

  • Safely deploy new features and run experiments across web, mobile and backend systems
  • Target specific user segments for gradual rollouts of new features
  • Toggle features on and off remotely without re-deploying code
  • Measure the impact of new features and experiments
  • Open-source under the Apache 2.0 license with a large community contributing plugins and clients

Some of the key benefits of Unleash include improved software development lifecycle, reduced risk for new feature launches, data-driven decision making, and flexibility to adapt quickly. It integrates with modern devops toolchains and has SDK support for all major languages.

Overall, Unleash is designed for modern software teams that want to continuously deliver innovation while minimizing disruption to end users. Its focus on progressive delivery, targeting and experimentation helps accelerate development cycles and improve product quality.

Unleash.so Features

Features

  1. Feature toggling and gradual rollouts
  2. User segmentation and targeting
  3. A/B testing and experimentation
  4. Open source and self-hosted option
  5. APIs and SDKs for integration
  6. Analytics and reporting

Pricing

  • Open Source
  • Freemium
  • Subscription-Based

Pros

Safer and faster feature development

Reduce risk with gradual rollouts

Data-driven development with experiments

Free open source option

Integrates with modern tech stacks

Great for continuous delivery

Cons

Can add complexity if overused

Requires some coding for implementation

Hosted version lacks some advanced features

Limited docs and community support

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