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Featurevisor

Feature flags, experiments, and remote config management with version control

Featurevisor

Feature flags, experiments, and remote config management with version control

Author Avatar Theme by featurevisor
Github Stars Github Stars: 781
Last Commit Last Commit: Dec 28, 2025 -
First Commit Created: Jan 17, 2026 -
Featurevisor screenshot

Overview

Featurevisor is an innovative platform designed to optimize the management of feature flags, experiments, and remote configurations directly through a Git repository. This declarative approach simplifies the development workflow, allowing teams to implement changes efficiently and safely. Users can manage their feature launch strategies with ease, ensuring that development teams can focus more on building quality applications rather than wrestling with complex configurations.

The workflow is straightforward, consisting of three main steps: managing your configurations in Git, triggering CI/CD pipelines to upload datafiles, and fetching those files using Featurevisor SDKs. This functionality provides the flexibility needed to conduct experiments and roll out new features gradually, reducing the risks commonly associated with major releases.

Features

  • Feature Flags: Easily create on/off switches for controlling feature availability within your applications.
  • Experimentation: Conduct A/B and multivariate tests to assess user engagement and make data-driven decisions.
  • Segmentation: Define reusable conditions to target specific user groups effectively.
  • Gradual Rollouts: Implement features incrementally to minimize risk by gradually increasing rollout percentage from 0% to 100%.
  • Variables: Store key/value pairs for remote configurations, helping you manage settings under different features systematically.
  • Consistent Bucketing: Ensure a user receives the same variations across multiple devices and sessions for a seamless experience.
  • Multiple Environments: Move beyond just staging and production to accommodate various scenarios within your development cycles.
  • Tagging: Load only the features relevant to your application, preventing unnecessary bloat and improving performance.