Search Results for "parallel" - Page 5
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Showing 1791 open source projects for "parallel"
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FreeRDP
FreeRDP is a free remote desktop protocol library and clients
...Enjoy the freedom of using your software wherever you want, the way you want it, in a world where interoperability can finally liberate your computing experience. The nightly builds are installed into /opt/freerdp-nightly and can be installed in parallel with the distributions regular freerdp package. Network tracing of RDP can be quite a challenge due to a number of factors such as encryption, compression, and the fact that these protocol features cannot always be disabled or worked around. One of the easiest way of decrypting RDP traffic is to configure the server with a self-signed certificate for which the private key is known, and then use this certificate with a network tracing tool to automatically decrypt the packets. -
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Pro Workflow
Claude Code learns from your corrections: self-correcting memory
...The system learns from user corrections over time, storing feedback and refining its behavior across sessions to improve accuracy and efficiency. It supports advanced development setups such as parallel worktrees, enabling multiple tasks to be handled simultaneously without interference. The framework includes a collection of prebuilt skills and workflows that have been tested in real-world scenarios, providing a strong starting point for developers. It emphasizes continuous improvement, where each interaction contributes to better performance in future tasks. ... -
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Folia
Fork of Paper which adds regionized multithreading
...Folia addresses this limitation by dividing the game world into independent regions composed of nearby chunks and assigning each region its own tick loop. These regions run concurrently on multiple threads within a thread pool, allowing server hardware with many CPU cores to process gameplay events in parallel. This architecture significantly increases scalability for large multiplayer environments where players are distributed across different areas of the world. Because the project fundamentally changes how the server processes game logic, many existing plugins are not immediately compatible and must be adapted for the new threading model. -
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Playwright CLI
CLI for common Playwright actions
...Developers can scaffold test files, record browser interactions as code, and run tests in headless or headed modes without needing a complex setup, dramatically reducing the barrier to writing robust UI tests. Playwright-CLI includes utilities for running tests in parallel across multiple devices, capturing screenshots and videos on failures, and outputting detailed reports that help diagnose flaky behavior or regressions. It also integrates with CI/CD pipelines, making it simple to automate testing as part of build and deployment workflows. -
Custom VMs From 1 to 96 vCPUs With 99.95% UptimeLive migration and automatic failover keep workloads online through maintenance. One free e2-micro VM every month.
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ChrysaLisp
Parallel OS, with GUI, Terminal, OO Assembler, Class libraries
ChrysaLisp is a 64-bit, MIMD, multi-CPU, multi-threaded, multi-core, multi-user parallel operating system with features such as a GUI, terminal, OO Assembler, class libraries, C-Script compiler, Lisp interpreter, debugger, profiler, vector font engine, and more. It supports MacOS, Windows, and Linux for x64, Riscv64, and Arm64 and eventually will move to bare metal. It also allows the modeling of various network topologies and the use of ChrysaLib hub nodes to join heterogeneous host networks. ... -
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ComputeSharp
.NET library to run C# code in parallel on the GPU through DX12
ComputeSharp is a .NET library to run C# code in parallel on the GPU through DX12 and dynamically generated HLSL compute shaders. The available APIs let you access GPU devices, allocate GPU buffers and textures, move data between them and the RAM, write compute shaders entirely in C# and have them run on the GPU. The goal of this project is to make GPU computing easy to use for all .NET developers! -
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MsQuic
Cross-platform, C implementation of the IETF QUIC protocol
...Asynchronous IO. Receive side scaling (RSS) support. UDP send and receive coalescing support. All packets are encrypted and handshake is authenticated with TLS 1.3. Parallel streams of (reliable and unreliable) application data. Exchange application data in the first round trip (0-RTT). Improved congestion control and loss recovery. Survives a change in the clients IP address or port. Stateless load balancing. -
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XGBoost
Scalable and Flexible Gradient Boosting
...It supports regression, classification, ranking and user defined objectives, and runs on all major operating systems and cloud platforms. XGBoost works by implementing machine learning algorithms under the Gradient Boosting framework. It also offers parallel tree boosting (GBDT, GBRT or GBM) that can quickly and accurately solve many data science problems. XGBoost can be used for Python, Java, Scala, R, C++ and more. It can run on a single machine, Hadoop, Spark, Dask, Flink and most other distributed environments, and is capable of solving problems beyond billions of examples. -
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yt-dlp
A youtube-dl fork with additional features and fixes
yt-dlp is a youtube-dl fork based on the now inactive youtube-dlc. The main focus of this project is adding new features and patches while also keeping up to date with the original project -
Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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Ora2Pg
Ora2Pg is a free tool used to migrate an Oracle database
ora2pg is an open-source tool used to migrate Oracle databases to PostgreSQL. It connects to an Oracle database, extracts schema and data, and generates SQL-compatible output for PostgreSQL. It supports complex migration scenarios, including stored procedures, triggers, data types, and performance optimization, making it ideal for enterprises transitioning away from Oracle systems. -
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Apache Maven Surefire
Apache Maven Surefire
A Maven plugin designed to run tests, supporting unit tests and integration tests during the build process. -
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npminstall
Make `npm install` fast and easy
npminstall is an alternative package installation tool designed for faster and more efficient npm dependency management. Developed by the CNPM team, it focuses on reducing disk usage and improving installation speed, particularly for large projects. -
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Local Deep Research
95% on SimpleQA (e.g. Qwen3.6-27B on a 3090)
...It runs locally, giving users full control over their data, privacy, and infrastructure while supporting both local and cloud-based LLMs. The system breaks down complex queries into smaller steps, performs parallel searches across web and academic sources, and generates structured, citation-backed reports. It also supports personal document ingestion through vector search, enabling users to build a private, searchable knowledge base. The platform includes a web interface, Docker-based deployment, and flexible configuration options, making it accessible to both developers and researchers. ... -
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Output
TypeScript framework for building AI workflows and agents
...It eliminates reliance on fragmented SaaS tools by providing all necessary components locally, ensuring better transparency and control over data and processes. Output includes built-in evaluation systems, such as LLM-as-a-judge scoring, and integrates workflow orchestration tools like Temporal to handle retries, parallel execution, and state management. It also supports multiple model providers through a unified API. -
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Swarms
Enterprise multi-agent orchestration framework for scalable AI apps
Swarms is an enterprise-grade multi-agent orchestration framework designed to help developers build, manage, and scale collaborative AI systems composed of multiple agents. It provides a structured infrastructure for coordinating agents in hierarchical, parallel, or sequential workflows, enabling complex task execution across distributed components. It emphasizes production readiness, offering modular architecture, high availability, and observability features suitable for large-scale deployments. It supports integration with multiple model providers and existing ecosystems, allowing developers to combine different AI tools and frameworks within a unified system. ... -
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GPU Puzzles
Solve puzzles. Learn CUDA
...The exercises are implemented using Python with the Numba CUDA interface, which allows Python code to compile into GPU kernels that run on CUDA-enabled hardware. By solving progressively more complex puzzles, learners gain a practical understanding of how parallel algorithms operate on graphics processing units. The project emphasizes experimentation and problem solving, encouraging learners to discover GPU programming techniques through trial and exploration. It can be run in cloud environments such as Google Colab, making it easy for beginners to start experimenting without configuring local GPU hardware. -
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Maestro AI Orchestration
Agent Orchestration Command Center
Maestro is a cross-platform desktop application designed for power users to orchestrate and manage fleets of AI agents and project workflows from a keyboard-centric interface. It provides a high-performance experience for running multiple agent sessions in parallel, integrating with tools such as Claude Code, OpenAI Codex, and other agent tooling to automate tasks, perform unattended execution, and organize long-running work flows. Users can collaborate with AI to draft specifications, break tasks into playbooks, and run them sequentially or concurrently in isolated contexts, each with clean session history. ... -
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DFlash
Block Diffusion for Ultra-Fast Speculative Decoding
DFlash is an open-source framework for ultra-fast speculative decoding using a lightweight block diffusion model to draft text in parallel with a target large language model, dramatically improving inference speed without sacrificing generation quality. It acts as a “drafter” that proposes likely continuations which the main model then verifies, enabling significant throughput gains compared to traditional autoregressive decoding methods that generate token by token. -
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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. -
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targets
Function-oriented Make-like declarative workflows for R
The targets package is a pipeline / workflow management tool in R, designed to coordinate multi‐step computational workflows in data science / statistics. It tracks dependencies between “targets” (computational steps), skips steps whose upstream data or code hasn’t changed, supports parallel computation, branching (dynamic generation of sub‐targets), file format abstractions, and encourages reproducible and efficient analyses. It’s something like GNU Make for R, but more integrated. Skipping computation for up-to-date targets so that unchanged parts of the workflow are not recomputed. Targets can represent files or R objects, and tracking file changes etc is incorporated. -
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Semaphore
Semaphore is an open source CI/CD platform
Semaphore is a continuous integration and delivery platform that streamlines building, testing, and deploying software with an emphasis on speed and developer experience. Pipelines are defined declaratively and support parallel jobs, dependency fan-outs, and matrix builds to exercise many environments at once. First-class Docker and Kubernetes workflows, along with layer caching and artifacts, help keep containerized builds fast and reproducible. Secrets management, environment promotion, and approvals enable robust delivery gates from pull request to production. ... -
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Delightful JavaScript Testing
Delightful JavaScript Testing
...Tests are parallelized by running them in their own processes to maximize performance. By ensuring your tests have unique global state, Jest can reliably run tests in parallel. To make things quick, Jest runs previously failed tests first and re-organizes runs based on how long test files take. Jest uses a custom resolver for imports in your tests, making it simple to mock any object outside of your test’s scope. You can use mocked imports with the rich Mock Functions API to spy on function calls with readable test syntax. -
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AVA
Node.js test runner that lets you develop with confidence
...One of the key features it has is Magic Assert, wherein only certain values are displayed and highlighted for better viewing and easier comparison. It automatically removes unrelated lines in stack traces, and also automatically detects whether your CI environment supports parallel builds. AVA is currently available in a number of different translations. To keep up to date with its latest developments, you can follow the official AVA Twitter account: https://twitter.com/ava__js -
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Findomain
Fast open source tool for discovering and monitoring domain subdomains
...It focuses on speed and reliability by using Certificate Transparency logs and multiple well tested public APIs instead of relying solely on brute force scanning techniques. By querying multiple passive data sources in parallel, the tool can identify a large number of subdomains within a short time, making it useful for security researchers, penetration testers, and bug bounty hunters. Findomain aggregates information from various online services to provide a comprehensive list of discovered subdomains without directly attacking the target infrastructure. ... -
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Packer
Build Automated Machine Images
...Lightweight yet modern, Packer encourages the use of automated scripts to install and configure the software within your Packer-made images. It is highly performant, able to run on every major operating system and create machine images for several platforms in parallel. Packer supports a great number of platforms out of the box, and support for other platforms can be added through plugins. Any image it creates can also be easily turned into Vagrant boxes.
