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jnunemaker avatar

jnunemaker/flipper

0
View on GitHub↗
www.flippercloud.io/docs↗

Flipper

Flipper is a runtime feature toggle system and library for Ruby applications. It enables the management of application features by toggling functionality on or off without the need to deploy new code.

The system provides a mechanism for controlling code execution through boolean states, actor-based access, and percentage-based traffic rollouts. It includes a management interface for modifying flag states in real-time and a central registry for tracking available capabilities.

The project covers a broad range of operational capabilities, including environment-specific flag isolation, configuration synchronization across deployment targets, and audit logging for change tracking. It supports a variety of storage backends through an adapter-based layer and utilizes a caching strategy to reduce lookup latency. Additional functionality includes scheduled feature activation, canary release management, and automated alerts via Slack integration.

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Features

  • Feature Flags - Provides a comprehensive Ruby library for managing runtime feature toggles and configuration flags.
  • Feature Flags - Provides a comprehensive system for managing and toggling feature flag configurations in Ruby applications.
  • Targeted Feature Rollouts - Controls functionality based on boolean states, specific actors, defined groups, or percentage-based rollouts.
  • Database Persistence Stores - Provides a persistent storage layer for feature flag configurations using various database backends.
  • Multi-Backend Task Persistence - Supports persisting feature flag configurations across diverse backends including relational databases, NoSQL, and key-value stores.
  • Storage Backend Adapters - Provides an adapter-based storage layer allowing the use of custom persistent backends for feature flags.
  • Environment-Specific Configurations - Isolates feature states by mapping flag configurations to specific deployment targets like staging or production.
  • Management Dashboards - Provides a web-based interface for modifying feature flag states in real-time.
  • Management Interfaces - Ships a web-based management interface for modifying feature flag states in real-time.
  • Web Management Consoles - Ships a management console for modifying feature flag settings via a web interface.
  • Runtime Feature Toggles - Implements a system for instantly enabling or disabling application features at runtime without redeployment.
  • Actor-Based Traffic Splitting - Calculates feature access by hashing actor identifiers to distribute users across defined traffic percentages.
  • Actor-Based Access Controls - Implements feature availability logic based on the identity or attributes of specific users or actors.
  • Functional Access Controls - Controls code execution at runtime by enabling or disabling functionality for specific users or traffic percentages.
  • Feature Flag Caches - Implements a memory-layer caching strategy to reduce latency during feature flag lookups.
  • Feature Configuration Syncing - Maintains consistent feature states across staging and production environments to ensure predictable deployments.
  • Feature Flag - Provides a RESTful HTTP API for the programmatic update and retrieval of feature flag configuration settings.
  • Multi-Layered Caching - Reduces database load by implementing a memory-layer cache for frequently accessed flag states.
  • Cross-Environment Configuration Synchronization - Provides a mechanism to mirror feature states between environments to ensure consistency across deployment targets.
  • Canary Release Managers - Enables gradual feature rollouts to a small percentage of users to test stability before full production launch.
  • Feature Activation Scheduling - Implements a time-based automation system for enabling or disabling features using temporal expressions.
  • Feature State Dashboards - Provides a dashboard to display the current state of features across production and staging environments.
  • Configuration Cascading - Provides a system for cascading feature settings across multiple environments with full audit history.
  • Time-Based Scheduling - Automates feature state changes using time-based expressions for scheduled activations.
  • Feature Flag Registries - Includes a central registry for tracking available capabilities by adding, removing, and listing feature flags.
  • Administrative Change Auditing - Maintains a historical record of all administrative configuration changes to feature flags for auditing and rollbacks.
  • Audit Logs - Maintains historical records of all configuration changes to track ownership and enable state rollbacks.
  • Configuration State Comparisons - Provides a visualization tool to compare feature toggle statuses across different environments.
  • Feature Change Auditing - Tracks who changed a feature toggle and when to maintain a history of application behavior changes.
  • Feature Rollout Monitoring - Provides a visualization tool for monitoring active flags across environments to track rollout progress.
  • Feature Flippers and A/B Testing - Manage feature toggles across various data stores.
3,952 stars·432 forks·Ruby·MIT·21 views

Star history

Star history chart for jnunemaker/flipperStar history chart for jnunemaker/flipper

How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.

Projects sharing features with Flipper

These projects share indexed features with Flipper. Shared tags can include platform or build tooling; verify the primary use case before treating a result as a replacement.
  • tompave/fun_with_flagstompave avatar

    tompave/fun_with_flags

    1,160View on GitHub↗

    This project is a feature flag library for Elixir applications, designed to manage and toggle application functionality at runtime. It provides a distributed system for controlling code paths without requiring new deployments, allowing developers to enable or disable features globally, for specific users, or for defined groups. The library distinguishes itself through a pluggable persistence framework that supports various storage backends, ensuring that flag configurations remain consistent across application restarts. It maintains state synchronization across distributed nodes using messagi

    Elixirectoelixirfeature-flags
    View on GitHub↗1,160
  • growthbook/growthbookgrowthbook avatar

    growthbook/growthbook

    7,351View on GitHub↗

    GrowthBook is a feature flagging and experimentation platform that utilizes a warehouse-native approach to data analysis. It serves as a system for managing feature rollouts and conducting A/B tests by executing SQL queries directly against existing data warehouses to calculate experiment results. The platform is distinguished by its integration of a Model Context Protocol server, which allows AI coding assistants and IDEs to manage flags and query analytics using natural language. It also provides specialized capabilities for AI model optimization, enabling the testing of prompts and models

    TypeScriptab-testingabtestabtesting
    View on GitHub↗7,351
  • flagsmith/flagsmithFlagsmith avatar

    Flagsmith/flagsmith

    6,223View on GitHub↗

    Flagsmith is an open-source platform for managing feature flags and remote configuration across web, mobile, and server applications. It provides a comprehensive REST API for programmatic management of flags, segments, and identities, and can be deployed on private infrastructure for secure, compliant feature flag management with full operational control. The platform distinguishes itself through a server-side flag evaluation engine that resolves segments, traits, and percentage rollouts per request, alongside a multivariate flag variant system supporting multiple typed values with configurab

    Pythoncdcicontinuous-integration
    View on GitHub↗6,223
  • vespa-engine/vespavespa-engine avatar

    vespa-engine/vespa

    6,961View on GitHub↗

    Vespa is a distributed search engine, vector database, and machine learning ranking engine. It serves as an AI search platform designed to handle large-scale document indexing and complex query processing across a cluster of nodes, combining keyword retrieval with high-dimensional embedding storage for semantic similarity search. The platform distinguishes itself by integrating machine learning models directly into the search pipeline to perform real-time inference and ranking. It converts these models into ranking expressions to score and order results based on relevance, while providing a s

    Java
    View on GitHub↗6,961
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Frequently asked questions

What does jnunemaker/flipper do?

Flipper is a runtime feature toggle system and library for Ruby applications. It enables the management of application features by toggling functionality on or off without the need to deploy new code.

What are the main features of jnunemaker/flipper?

The main features of jnunemaker/flipper are: Feature Flags, Targeted Feature Rollouts, Database Persistence Stores, Multi-Backend Task Persistence, Storage Backend Adapters, Environment-Specific Configurations, Management Dashboards, Management Interfaces.

Which projects share features with jnunemaker/flipper?

Projects with overlapping indexed features include: tompave/fun_with_flags — This project is a feature flag library for Elixir applications, designed to manage and toggle application… growthbook/growthbook — GrowthBook is a feature flagging and experimentation platform that utilizes a warehouse-native approach to data… flagsmith/flagsmith — Flagsmith is an open-source platform for managing feature flags and remote configuration across web, mobile, and… vespa-engine/vespa — Vespa is a distributed search engine, vector database, and machine learning ranking engine. It serves as an AI search… parse-community/parse-server — Parse Server is a backend-as-a-service solution and Node.js framework that provides a ready-to-use REST and GraphQL… weaveworks/flagger — Flagger is a Kubernetes operator designed to automate the lifecycle of application deployments through progressive…