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Latest version: v4.10.0

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Java rate-limiting library based on token-bucket algorithm.

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Advantages of Bucket4j

  • Implemented on top of ideas of well known algorithm, which are by de-facto standard for rate limiting in the IT industry.
  • Effective lock-free implementation, Bucket4j is good scalable for multi-threading case.
  • Absolutely non-compromise precision, Bucket4j does not operate with floats or doubles, all calculation are performed in the integer arithmetic, this feature protects end users from calculation errors involved by rounding.
  • Ability to switch from one JVM to cluster in two lines of code. Using Bucket4j you are able to limiting something in the cluster of JVMs. Since release 1.2 the Bucket4j supports any GRID solution which compatible with JCache API (JSR 107) specification. Just use your favorite grid including Hazelcast, Ignite, Coherence, Infinispan or any other.
  • Ability to specify multiple bandwidths per bucket. For example you can limit 1000 events per hours but not often then 100 events per minute.
  • Both synchronous and asynchronous API.
  • Pluggable listener API that allows to implement monitoring and logging.
  • Ability to use bucket as as scheduler, see examples.

Supported back-ends

As mentioned above in addition to local in-memory buckets, the Bucket4j supports clustered usage scenario on top of following back-ends:

Back-end Documentation page Async supported Optimized serialization
JCache API (JSR 107) [bucket4j-jcache](doc-pages/jcache-usage.md) No No
Hazelcast [bucket4j-hazelcast](doc-pages/hazelcast.md) Yes Yes
Apache Ignite [bucket4j-ignite](doc-pages/ignite.md) Yes n/a
Inifinispan [bucket4j-infinspan](doc-pages/infinispan.md) Yes Yes
Oracle Coherence [bucket4j-coherence](doc-pages/coherence.md) Yes Yes

General documentation


  • Token bucket wikipedia - wikipedia page describes the token-bucket algorithm in classical form.
  • [Non-formal overview of token-bucket algorithm](doc-pages/token-bucket-brief-overview.md) - the brief overview of token-bucket algorithm.


  • [Basic-usage](doc-pages/basic-usage.md) - examples of basic usage.
  • [Advanced-usage](doc-pages/advanced-usage.md) - examples of advanced usage.
  • [Asynchronous-usage](doc-pages/asynchronous.md) - examples of asynchronous usage.
  • [Listening of bucket events](doc-pages/listener.md) - examples of monitoring.

Production checklist

  • [Common production checklist](doc-pages/production-generic-checklist.md) - Mandatory points that need to be understood before using the Bucket4j in production, independently of local or clustered usage scenarios.
  • [JCache production checklist](doc-pages/production-jcache-checklist.md) - Mandatory points that need to be understood before using the Bucket4j over JCache cluster.


  • [Documentation for legacy releases](doc-pages/archive-links.md).

Third-party integrations:

Third-party demos and articles:

Get Bucket4j library

You can add Bucket4j to your project as maven dependency

The Bucket4j is distributed through both JCenter and Maven Central, use any of them:


You can build Bucket4j from sources

git clone https://github.com/vladimir-bukhtoyarov/bucket4j.git
cd bucket4j
mvn clean install


Copyright 2015-2020 Vladimir Bukhtoyarov Licensed under the Apache Software License, Version 2.0: http://www.apache.org/licenses/LICENSE-2.0.

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Who use Bucket4j?

Ringcentral JHipster Opentable Apereo CAS

*Note that all licence references and agreements mentioned in the bucket4j README section above are relevant to that project's source code only.