A lightning fast, transactional, file-based FIFO for Android and Java. QueueFile is a lightning-fast, transactional, file-based FIFO. Addition and removal from an instance is an O(1) operation and is atomic. Writes are synchronous; data will be written to disk before an operation returns. The underlying file is structured to survive process and even system crashes and if an I/O exception is thrown during a mutating change, the change is aborted.

Tape - A lightning fast, transactional, file-based FIFO for Android and Java.

The main goal of Boon is to reduce the productivity delta between Java and Python/Groovy/Ruby. The idea is to just create a lower ceremony APIs. Less Java like APIs, and more getting things done quickly APIs. If reading a file takes one line of code in Ruby/Python/Groovy, then it will also in Java. If slice notation is part of those language, then Boon will have it to.
 
Boon helps to make lists, maps, and sets feel like they are part of the core language instead of APIs. This includes mimicking map literals, list literals, and set literals. Boon will have its own collection libs. Boon has a collection query language already. It is good alternative to Guava.

The main goal of Boon is to reduce the productivity delta between Java and Python/Groovy/Ruby. The idea is to just create a lower ceremony APIs. Less Java like APIs, and more getting things done quickly APIs. If reading a file takes one line of code in Ruby/Python/Groovy, then it will also in Java. If slice notation is part of those language, then Boon will have it to.



Boon - Low Ceremony. High Productivity. A real boon to Java to developers!

Immutable Clojure collections and a Transformation abstraction for Java 8+, immutably, type-safely, and with good performance. It provide support for RRB Tree, which is an immutable List (like Clojure's PersistentVector) that also supports random inserts, deletes, and can be split and joined back together in logarithmic time.

Paguro - Immutable Collections and Functional Transformations for the JVM

A big, fast and persistent queue based on memory mapped file.
 
Features include: 
<ol>
<li>Fast: close to the speed of direct memory access, both enqueue and dequeue are close to O(1) memory access.</li>
<li>Big: the total size of the queue is only limited by the available disk space.</li>
<li>Persistent: all data in the queue is persisted on disk, and is crash resistant.</li>
<li>Reliable: OS will be responsible to presist the produced messages even your process crashes.</li>
<li>Realtime: messages produced by producer threads will be immediately visible to consumer threads.</li>
<li>Memory-efficient: automatic paging &amp; swapping algorithm, only most-recently accessed data is kept in memory.</li>
<li>Thread-safe: multiple threads can concurrently enqueue and dequeue without data corruption.</li>
<li>Simple&amp;Light-weight: current number of source files is 12 and the library jar is less than 30K.</li>
</ol>

A big, fast and persistent queue based on memory mapped file.

Big Queue - A big, fast and persistent queue based on memory mapped file.

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Tape - A lightning fast, transactional, file-based FIFO for Android and Java.

Boon - Low Ceremony. High Productivity. A real boon to Java to developers!

Paguro - Immutable Collections and Functional Transformations for the JVM

Big Queue - A big, fast and persistent queue based on memory mapped file.

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Projects

Tape - A lightning fast, transactional, file-based FIFO for Android and Java.

Boon - Low Ceremony. High Productivity. A real boon to Java to developers!

Paguro - Immutable Collections and Functional Transformations for the JVM

Big Queue - A big, fast and persistent queue based on memory mapped file.

TechStack

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