Search Results for "parallel"
Sort By:
Showing 367 open source projects for "parallel"
View related business solutions-
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
-
$300 in Free Credit Towards Top Cloud ServicesStart your project in minutes. After credits run out, 20+ products include free monthly usage. Only pay when you're ready to scale.
-
1
parallel-ssh
Asynchronous parallel SSH client library.
parallel-ssh is an asynchronous parallel SSH library designed for large-scale automation. It differentiates itself from alternatives, other libraries and higher-level frameworks like Ansible or Chef in several ways. -
2
CUDA Core Compute Libraries (CCCL)
CUDA Core Compute Libraries
...It brings together Thrust, CUB, and libcudacxx, which collectively provide high-level abstractions, low-level performance primitives, and a CUDA-compatible standard library for GPU programming. The goal of CCCL is to simplify CUDA development by offering reusable building blocks that enable developers to write efficient and scalable parallel code without starting from scratch. Thrust provides a high-level interface for parallel algorithms, while CUB delivers highly optimized primitives for device-level operations, and libcudacxx ensures compatibility with modern C++ standards. By unifying these components, CCCL reduces duplication and improves developer productivity while maintaining performance across different GPU architectures. -
3
Apache Beam
Unified programming model for Batch and Streaming
Apache Beam is an open source, unified programming model to define both batch and streaming data-parallel processing pipelines, as well as certain language-specific SDKs for constructing pipelines and Runners. These pipelines are executed on one of Beam’s supported distributed processing back-ends, which include Apache Apex, Apache Flink, Apache Spark, and Google Cloud Dataflow. Beam is especially useful for Embarrassingly Parallel data processing tasks, and caters to the different needs and backgrounds of end users, SDK writers and runner writers. -
4
future
R package: future: Unified Parallel and Distributed Processing in R
The future package in R provides a unified abstraction for asynchronous and/or parallel computation. It allows R expressions to be scheduled for future evaluation, with the result retrieved later, in a way decoupled from the specific backend used. This lets code be written in a way that works with sequential execution, multicore, multisession, cluster, or remote compute backends, without changing the high-level code. -
Forever Free Full-Stack Observability | Grafana CloudBuilt on open standards like Prometheus and OpenTelemetry, Grafana Cloud includes Kubernetes Monitoring, Application Observability, Incident Response, plus the AI-powered Grafana Assistant. Get started with our generous free tier today.
-
5
Async PHP
Easily run code asynchronously
Spatie Async is a PHP library that allows developers to run parallel processes using asynchronous tasks. It helps optimize performance by executing long-running or resource-intensive tasks concurrently, instead of sequentially. The library is easy to use and integrates well with existing PHP applications, making it suitable for batch processing, data scraping, or any scenario where concurrency can boost efficiency. -
6
Kreuzberg
Polyglot document intelligence framework
Kreuzberg is a flexible task orchestration and agent workflow platform designed to help developers build, coordinate, and scale intelligent agents or automation pipelines that interact with external services, runtime environments, and multi-step business workflows. It emphasizes modular design so that developers can define discrete tasks or “actions” and then compose them into complex flows where dependencies, parallel steps, and error handling are declaratively managed. This structure makes it simpler to build resilient automation pipelines that span multiple technologies or APIs without needing to glue everything together manually. The platform also supports observability and monitoring, helping teams trace the progression of workflows, catch errors early, and evaluate performance trends in orchestrated systems. -
7
Hermione
Browser test runner based on mocha and wdio
...If you are familiar with WebdriverIO and Mocha, you can start writing and running tests in 5 minutes! You need to install Hermione via npm and add a tiny config to your project. When tests are run one by one, it takes a lot of time. Hermione can run tests in parallel sessions in different browsers out of the box. Running of too many tests in parallel can lead to the overloading of the main process CPU usage which causes degradation in test passing time, so Hermione runs all tests in subprocesses in order to solve this problem. -
8
Piscina
A fast, efficient Node.js Worker Thread Pool implementation
Piscina is a fast, efficient Node.js worker thread pool implementation, designed to perform heavy CPU-bound tasks in parallel, thereby improving application performance. -
9
Bend
A massively parallel, high-level programming language
Bend is an interactive programming environment (REPL) built on top of the Kotlin language, designed to allow users to explore, experiment, and learn Kotlin in a live, feedback-driven manner. The tool lets you define variables, functions, or values at the prompt and iteratively refine them—immediately seeing output and types—while preserving state across commands. It emphasizes discoverability and experimentation: users can inspect functions, call them on sample inputs, and evolve logic... -
Earn up to 16% annual interest with Nexo.Generate interest, borrow against your crypto, and trade a range of cryptocurrencies — all in one platform. Geographic restrictions, eligibility, and terms apply.
-
10
Bifrost
Middleware for production-oriented MySQL
...Multiple data sources, multiple target library support. Both incremental and full data synchronization are supported. One Binlog parsing thread, multiple target libraries are synchronized in parallel. Automatically restore configuration after restarting after downtime, accurate control of location. Support monitoring and alarm functions such as Email and WeChat enterprise account. Provide third-party monitoring platform access interface (Http Basic authentication) HTTP API. MySQL, ClickHouse plugin supports DDL synchronization. -
11
HYPRE
Parallel solvers for sparse linear systems featuring multigrid methods
Livermore’s HYPRE library of linear solvers makes possible larger, more detailed simulations by solving problems faster than traditional methods at large scales. It offers a comprehensive suite of scalable solvers for large-scale scientific simulation, featuring parallel multigrid methods for both structured and unstructured grid problems. The HYPRE library is highly portable and supports a number of languages. Work on HYPRE began in the late 1990s. It has since been used by research institutions and private companies to simulate groundwater flow, magnetic fusion energy plasmas in tokamaks and stellarators, blood flow through the heart, fluid flow in steam generators for nuclear power plants, and pumping activity in oil reservoirs, to name just a few areas. ... -
12
bild
Image processing algorithms in pure Go
...Package histogram provides basic histogram types and functions to analyze RGBA images. Package paint provides functions to edit a group of pixels on an image. Package parallel provides helper functions for the dispatching of parallel jobs. -
13
mprocs
Run multiple commands in parallel
mprocs runs multiple commands in parallel and shows output of each command separately. When you work on a project you very often need the same list of commands to be running. For example: webpack serve, just --watch, node src/server.js. With mprocs you can list these commands in mprocs.yaml and run all of them by running mprocs. Then you can switch between the outputs of running commands and interact with them. -
14
nbmake
Pytest plugin for testing notebooks
Pytest plugin for testing and releasing notebook documentation. To raise the quality of scientific material through better automation. Research/Machine Learning Software Engineers who maintain packages/teaching materials with documentation written in notebooks. -
15
Soufflé
Datalog variant for tool designers crafting analyses in Horn clauses
Rapid prototyping for your analysis problems with logic; enabling deep design-space explorations; designed for large-scale static analysis; e.g., points-to analysis for Java, taint-analysis, and security checks. Futamura projections/partial evaluation for effective translation to parallel C++; optimized staged compilation; specialized data-structures for logical relations. Efficient translation to parallel C++ of Datalog programs (CAV'16, CC'16) Efficient interpretation using de-specialization techniques (PLDI'21) Specialized data structure for relations (PACT'19, PPoPP'19, PMAM'19) with optimal index selection (VLDB'18) Extended semantics of Datalog, e.g., permitting unbounded recursions with numbers and terms. ... -
16
JavaCV
Java interface to OpenCV, FFmpeg, and more
JavaCV uses wrappers from the JavaCPP Presets of commonly used libraries by researchers in the field of computer vision (OpenCV, FFmpeg, libdc1394, FlyCapture, Spinnaker, OpenKinect, librealsense, CL PS3 Eye Driver, videoInput, ARToolKitPlus, flandmark, Leptonica, and Tesseract) and provides utility classes to make their functionality easier to use on the Java platform, including Android. JavaCV also comes with hardware accelerated full-screen image display (CanvasFrame and GLCanvasFrame), easy-to-use methods to execute code in parallel on multiple cores (Parallel), user-friendly geometric and color calibration of cameras and projectors (GeometricCalibrator, ProCamGeometricCalibrator, ProCamColorCalibrator), detection and matching of feature points (ObjectFinder), a set of classes that implement direct image alignment of projector-camera systems (mainly GNImageAligner, ProjectiveTransformer, ProjectiveColorTransformer, ProCamTransformer, and ReflectanceInitializer), and more. -
17
Starlark in Go
Starlark in Go: the Starlark configuration language, implemented in Go
...The Go-based interpreter allows developers to run or embed Starlark programs directly within Go applications, extending them with user-defined scripts and configurable logic. Unlike Python, Starlark supports parallel execution across multiple threads and maintains deterministic behavior, making it suitable for scalable and reproducible workloads. It offers familiar syntax features such as dictionaries, lists, and first-class functions with lexical scoping. -
18
Clone Wars
100+ open-source clones of popular sites like Airbnb, Amazon
...It can be used to explore how different setups impact performance or outputs in AI systems. The framework is designed to be flexible, supporting customization and integration with various tools. It also provides a structure for managing multiple parallel experiments efficiently. By simplifying replication and comparison, it helps developers iterate faster on AI workflows. Overall, Clone-Wars is a tool for scaling and analyzing AI system behavior. -
19
CUDA Python
Performance meets Productivity
...The project is designed to simplify GPU programming by offering Pythonic abstractions while still exposing the full power of CUDA for advanced users. It integrates tightly with the broader Python GPU ecosystem, including Numba for kernel compilation and CCCL for parallel primitives, allowing developers to write performant code without leaving Python. The toolkit also includes utilities for profiling, memory management, distributed computing, and numerical operations, making it suitable for scientific computing, AI, and data processing workloads. -
20
Pachyderm
Data-Centric Pipelines and Data Versioning
Data-driven pipelines automatically trigger based on detecting data changes. Automatic immutable data lineage and data versioning of all data types. Autoscaling and parallel processing built on Kubernetes for resource orchestration. Uses standard object stores for data storage with automatic deduplication. Runs across all major cloud providers and on-premises installations. Automatic and intelligent versioning of even the largest data sets of unstructured and structured data. Git-like structure enables effective team collaboration. ... -
21
prek
Better `pre-commit`, re-engineered in Rust
...By rewriting everything in Rust, prek delivers substantial performance gains and reduces disk usage while maintaining compatibility with existing .pre-commit-config.yaml setups, letting teams switch over without rewriting configurations. It’s optimized for modern workflows, supporting monorepos with workspace modes, parallel hook installation and execution, and native handling of common hook tasks without external runtimes. Because it ships as a single binary with no runtime dependencies and is already being adopted in large projects (like CPython, Apache Airflow, and FastAPI), prek is increasingly seen as a next-generation tool for developers who value performance, simplicity, and robust git hook automation. -
22
PlatEMO
Evolutionary multi-objective optimization platform
...Users can select various figures to be displayed, including the Pareto front of the result, the Pareto set of the result, the true Pareto front, and the evolutionary trajectories of any performance indicator values. PlatEMO provides a powerful and friendly GUI, where users can configure all the settings and perform experiments in parallel via the GUI without writing any code. -
23
Selenium IDE
Open Source record and playback test automation for the web
...Works out of the box for any web app. Enjoy easier test debugging with rich IDE features like setting breakpoints and pausing on exceptions. Run your tests on any browser/OS combination in parallel using the Command-line Runner for Selenium IDE. Getting started with Selenium IDE requires no additional setup other than installing the extension on your browser. One of our driving philosophies is to provide an easy-to-use tool that will give instant feedback. We believe that the easier we can make it, the more likely people are to author tests, which in turn results in better-tested apps. ... -
24
CampusShame
Crowdsource and document the reputational history of companies
...It compiles lists of companies that have had so-called “shameful” behaviors, such as rescinding offers, canceling intention letters, or terminating three-party agreements after acceptance, alongside a parallel list of companies without reported negative incidents. The project draws on publicly available anecdotes, snapshots, and forum posts from platforms such as NowCoder, Maimai, and Zhihu to provide evidence and context for each entry, preserving details that might otherwise be lost as threads get deleted or censored. It also includes commentary on recruitment pitfalls and encourages contributors to share their own experiences or corrections to keep the list up to date. -
25
Colly
Elegant Scraper and Crawler Framework for Golang
...With Colly you can easily extract structured data from websites, which can be used for a wide range of applications, like data mining, data processing or archiving. Clean API. Fast (>1k request/sec on a single core) Manages request delays and maximum concurrency per domain. Automatic cookie and session handling. Sync/async/parallel scraping. Distributed scraping. Caching, automatic encoding of non-unicode responses. Robots.txt support. Google App Engine support.
