Search Results for "thread pools"
Sort By:
Showing 16 open source projects for "thread pools"
View related business solutions-
Ship Agents FasterGemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.
-
$300 Free Credits to Build on Google CloudPut your $300 in credit toward real workloads, then keep building with free monthly usage for 20+ products. No commitment and no charge until you upgrade.
-
1
testng
TestNG testing framework
TestNG is a testing framework inspired from JUnit and NUnit but introduces some new functionalities that make it more powerful and easier to use. Run your tests in arbitrarily big thread pools with various policies available (all methods in their own thread, one thread per test class, etc...). -
2
Concurrent Ruby
Modern concurrency tools including agents, futures, promises, etc.
Modern concurrency tools including agents, futures, promises, thread pools, supervisors, and more. Inspired by Erlang, Clojure, Scala, Go, Java, JavaScript, and classic concurrency patterns. Concurrent Ruby is an 'unopinionated' toolbox that provides useful utilities without debating which is better or why. It remains free of external gem dependencies. It stays true to the spirit of the languages providing inspiration, but implements in a way that makes sense for Ruby. ... -
3
workerpool
Offload tasks to a pool of workers on node.js and in the browser
workerpool is a JavaScript library that simplifies the creation and management of worker threads and process pools for parallel task execution in Node.js and browser environments. The project provides an abstraction layer that allows developers to offload CPU-intensive operations to background workers without manually handling thread communication or lifecycle management. It supports task queuing, dynamic worker scaling, timeouts, transferable objects, and proxy-based APIs for interacting with worker functions as if they were local calls. workerpool is designed to improve application responsiveness and throughput in workloads involving heavy computation, data processing, or asynchronous execution. ... -
4
JavaCore
JavaCore is a summary of experience with Java core technologies
...Separate sections explain collections, streams, traditional I/O, NIO, serialization, sockets, and networking. Its concurrency coverage includes threads, locks, atomics, thread pools, concurrent containers, synchronization, and the Java Memory Model. JVM chapters address memory, garbage collection, bytecode, class loading, diagnostics, monitoring, and performance tuning. -
Veeam Data Platform v13.1Try Veeam Data Platform today. Experience the unified platform that's secure by design, portable by default, and proven to recover clean, fast, and anywhere.
-
5
toBeBetterJavaer
An easy-to-understand and humorous Java study guide
...Core lessons cover syntax, object-oriented programming, collections, exceptions, I/O, networking, NIO, and modern Java features. Dedicated material explores multithreading, concurrency utilities, the Java Memory Model, locks, thread pools, and concurrent collections. JVM coverage includes bytecode, class loading, runtime memory, garbage collection, JIT compilation, and performance diagnosis. It also expands into Spring, databases, Redis, distributed systems, Linux, and other enterprise-development subjects. -
6
Micrometer
App observability facade for the most popular observability tools
...Micrometer provides vendor-neutral interfaces for timers, gauges, counters, distribution summaries, and long task timers with a dimensional data model that, when paired with a dimensional monitoring system, allows for efficient access to a particular named metric with the ability to drill down across its dimensions. Out-of-the-box instrumentation of caches, the class loader, garbage collection, processor utilization, thread pools, and more tailored to actionable insight. Micrometer is the instrumentation library powering the delivery of application observability from Spring Boot applications. -
7
Transmittable ThreadLocal
Provides an enhanced InheritableThreadLocal
...ThreadLocalThe demand scenario is TransmittableThreadLocalthe potential demand scenario. If your business needs to "pass ThreadLocalvalues in the case of using thread pools and other execution components that will pool multiple threads ", it is the TransmittableThreadLocaltarget scenario. -
8
Volley
HTTP library that makes networking for Android apps
Volley is an Android networking library that streamlines making asynchronous HTTP requests, caching responses, and managing image loading with minimal code. It provides request queues, thread pools, and lifecycle-aware cancellation so network work integrates cleanly with activities and fragments. Out of the box it supports JSON, string, and image requests, plus an extensible Request/Response model for custom payloads. Volley emphasizes responsiveness: transparent caching and de-duplication of in-flight requests help reduce latency and bandwidth usage. ... -
9
Netty demos
Demos of Netty 4.x User Guide
...It lets readers compare standard blocking I/O, NIO, AIO, and Netty implementations of similar network programs. The repository includes echo, discard, time, TCP, UDP, HTTP, HTTP/2, and WebSocket examples. Additional samples explain ByteBuffer, ByteBuf usage modes, thread pools, the Reactor pattern, heartbeat handling, and custom codecs. Serialization demonstrations cover Java objects and JSON through Jackson. Security examples include SSL/TLS mutual authentication, while monitoring modules show a lightweight service and interface. The project uses Netty 4.1.52, Jackson 2.10.1, and JUnit 5.5.2. -
Host LLMs in Production With On-Demand GPUsDeploy your model, get an endpoint, pay only for compute time. No GPU provisioning or infrastructure management required.
-
10
threadandjuc
High performance three-high-import import system
...It is designed to help developers understand how Java concurrent programming works through examples, explanations, and practical project-style demonstrations. The project covers topics such as threads, locks, synchronization, thread pools, concurrent collections, and high-performance data handling. It is especially useful for Java developers preparing for interviews or improving their understanding of production-level concurrency patterns. Some material also explores large-scale import and high-throughput reporting scenarios, connecting theory to real performance problems. ... -
11
gevent
Coroutine-based concurrency library for Python
gevent is a coroutine -based Python networking library that uses greenlet to provide a high-level synchronous API on top of the libev or libuv event loop. gevent is inspired by eventlet but features a more consistent API, simpler implementation and better performance. Read why others use gevent and check out the list of the open source projects based on gevent. Since version 1.1, gevent is maintained by Jason Madden for NextThought with help from the contributors and is licensed under the... -
12
Memory Manager: MDX
Memory Manager: MDX = malloc() + free() + Garbage Collection
MDX is a thread safe memory manager similar to the standard C library's malioc() and free(), except that it allows for some (or all) of the memory to be automatically freed by mark and sweep garbage collection with finalization. It's written in C++ under the Apache license for Windows and Linux on 32 & 64 bit systems. Programs using MDX provide it with a marking callback. The callback performs the marking phase of garbage collection, using MDX's mark() method to actually mark the wanted... -
13
JavaMutex
Provides 100% pure Java mutual exclusion.
Freely redistributable open source 100% pure Java for mutual exclusion. Read-write and read-only reentrant lock, condition variable, atomic wraps for Boolean, Integer, Long, and Reference. Cell pool with optional locking, object exchanger, Intersect. -
14
libnifty
Nifty pthread modules for C programs
...For the current, maintained version of this library, please see https://github.com/seanpburke/Nifty libnifty provides the basic facilities that most threaded programs need, including message queues, thread pools (aka work queues) and a module to execute tasks at scheduled times. libnifty modules provide APIs that are safe, simple, and easy to use. Using libnifty will help to make your threaded programs stable, scalable and performant. libnifty modules are based on a common core that implements reference-counted objects that are accessible via handle-based APIs. ... -
15
Cross-platform framework, ideal for implementing network-enabled servers in C++. Includes API for processes, threads/thread pools, advanced IPC, Sockets, File I/O, and much more. Homepage: http://www.fidnet.com/~bbreeden
-
16
Utility modules for Python, including functional programming support, lazy expressions and data structures, and thread pools.
- Previous
- You're on page 1
- Next
