Audience
Businesses or individuals looking for a proposition for feature toggle written in Java
About FF4J
Feature flags for java made easy. Enable. and disable features at runtime - no deployment. Implement multiple paths in your code with predicates evaluated dynamically (if/then/else). Enable features not only with flag values but also drive access with roles and groups (Canary Release). Different frameworks supported starting by Spring Security. Implement custom predicates (Strategy Pattern) to evaluate if a feature is enabled. Some are provided out of the box: White/Black lists ,Time based, Expression based. Connect external source like a Drools rule engine. Keep your code clean and readable: Avoid nested if statements but use annotations. Thanks to Spring AOP target implementation is pick at runtime, and thus driven by feature statuses. For each features execution, ff4j evaluates the predicate therefore it's possible to collect and record events, metrics to compute nice dashboards or draw curves for features usage over time.
Other Popular Alternatives & Related Software
Togglz
Togglz is an implementation of the Feature Toggles pattern for Java. Feature Toggles are a very common agile development practices in the context of continuous deployment and delivery. The basic idea is to associate a toggle with each new feature you are working on. This allows you to enable or disable these features at application runtime, even for individual users. Feature Toggles are very useful especially in the context of agile development practices and are used by big sites like Flickr. The basic idea is to have a configuration file that defines a bunch of toggles for various features you have pending. The running application then uses these toggles in order to decide whether or not to show the new feature. As this toggle is disabled by default you can safely deploy the application to the production servers even if the feature is not completely finished and tested. If the feature implementation is complete you can enable it in the production system at any point in time.
Learn more
Flagship.io
Flagship.io is a feature flagging platform for modern engineering and product teams that eliminates the risks of future releases by separating code deployments from these releases. With Flagship, you can accelerate development cycles and ship anywhere anytime, even on Friday nights.
With Flagship, we push the concept of feature flags to the next level giving you full control over the release process. With Flagship, you can:
- Switch features on or off through remote config.
- Separate code deployments from future releases, allowing engineering teams to deploy code at their pace while enabling product teams to release these features when they’re ready.
- Automatically roll-out your features gradually to monitor performance in line with their associated KPIs and gather feedback from your most relevant users.
- Roll back any feature should any issues arise while testing in production while your team analyzes the problem.
- Segment users by granting access to a feature
Learn more
waiting
waiting is a small library for waiting for stuff to happen. It basically waits for a function to return True, in various modes. Waiting is compatible with flux for simulated timelines. The most basic usage is when you have a function you want to wait for. Waiting forever is very simple. If your predicate returns a value, it will be returned as the result of wait(). A timeout parameter can also be specified. When a timeout expires without the predicate being fulfilled, an exception is thrown. Sleeping polls the predicate at a certain interval (by default 1 second). The interval can be changed with the sleep_seconds argument. When waiting for multiple predicates, waiting provides two simple facilities to help aggregate them, any and all. They resemble Python’s built-in any() and all(), except that they don’t call a predicate once it has been satisfied (this is useful when the predicates are inefficient and take time to complete).
Learn more
Userback
Userback is the leading user feedback and bug tracking solution for software teams looking to understand users and build better products.
With Userback, you can collect metadata-enriched visual feedback and gain deep insights into your user's sentiment and behavior with in-app surveys like NPS, CES, and CSAT metrics. Add deep context to any piece of feedback via full session replay features.
Create user segments and track every user from the moment they log in. Survey only the cohorts that are important to you and understand your user experiences throughout the entire lifecycle from trial to churn.
Wrap it all up with branded feature portals, and public roadmaps, and a centralized location for all your feedback to reduce feedback overhead by 70% and increase feedback closure times by 10X.
No code? No problem. Start instantly with a code-free browser extension, perfect for internal QA and bug tracking.
Learn more
Pricing
Free Version:
Free Version available.
Company Information
FF4J
ff4j.org
Videos and Screen Captures
Other Useful Business Software
Stop vibe-debugging.
AppSignal's MCP server hands Claude, Cursor, or Zed your real errors, traces, and the deploy that shipped them. AI writes the fix; you review the diff.
Product Details
Platforms Supported
Cloud
Training
Documentation
Live Online
Support
Online
