Search Results for "processor"
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Showing 235 open source projects for "processor"
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8 Monitoring Tools in One APM. Install in 5 Minutes.AppSignal works out of the box for Ruby, Elixir, Node.js, Python, and more. 30-day free trial, no credit card required.
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Gemini 3 and 200+ AI Models on One PlatformBuild generative AI apps with Vertex AI. Switch between models without switching platforms.
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yq
Portable command-line YAML processor
yq is a portable and lightweight command-line YAML processor. It can be likened to projects like jq (a command-line JSON processor) or sed but for YAML files. yq is able to do quite a number of things. It can deep read a YAML file with a given path expression, deeply compare YAML files, update a YAML file given a path expression or script file, and so much more. It can also merge several YAML files while offering plenty of options for overriding and appending. -
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QuantumOptics.jl
Library for the numerical simulation of closed as well as open quantum
QuantumOptics.jl is a numerical framework written in the Julia programming language that makes it easy to simulate various kinds of open quantum systems. It is inspired by the Quantum Optics Toolbox for MATLAB and the Python framework QuTiP. QuantumOptics.jl optimizes processor usage and memory consumption by relying on different ways to store and work with operators. The framework comes with a plethora of pre-defined systems and interactions making it very easy to focus on the physics, not on the numerics. Every function in the framework has been severely tested with all tests and their code coverage presented on the framework's GitHub page. -
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Asciidoctor PDF
Asciidoctor PDF: A native PDF converter for AsciiDoc
A fast text processor & publishing toolchain for converting AsciiDoc to HTML5, DocBook & more. Asciidoctor is a fast, open source, Ruby-based text processor for parsing AsciiDoc® into a document model and converting it to output formats such as HTML 5, DocBook 5, manual pages, PDF, EPUB 3, and other formats. Asciidoctor also has an ecosystem of extensions, converters, build plugins, and tools to help you author and publish content written in AsciiDoc. -
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Kotshi
An annotation processor that generates Moshi adapters
An annotation processor that generates Moshi adapters from Kotlin classes. There is a reflective adapter for Kotlin but that requires the Kotlin reflection library which adds a lot of methods and increases the binary size which in a constrained environment such as Android is something is not preferable. This is where Kotshi comes in, it generates fast and optimized adapters for your Kotlin data classes, just as if you'd written them by hand yourself. -
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.
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Qiskit
Qiskit is an open-source SDK for working with quantum computers
...Qiskit includes a comprehensive set of quantum gates and a variety of pre-built circuits so users at all levels can use Qiskit for research and application development. The transpiler translates Qiskit code into an optimized circuit using a backend’s native gate set, allowing users to program for any quantum processor or processor architecture with minimal inputs. Users can run and schedule jobs on real quantum processors, and employ Qiskit Runtime to orchestrate quantum programs on cloud-based CPUs, QPUs, and GPUs. -
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Telegraf
The plugin-driven server agent for collecting and reporting metrics
...Design goals are to have a minimal memory footprint with a plugin system so that developers in the community can easily add support for collecting metrics. Telegraf is plugin-driven and has the concept of 4 distinct plugin types. Input Plugins collect metrics from the system, services, or 3rd party APIs. Processor Plugins transform, decorate, and/or filter metrics. Aggregator Plugins create aggregate metrics (e.g. mean, min, max, quantiles, etc.). Output Plugins write metrics to various destinations. New plugins are designed to be easy to contribute, pull requests are welcomed and we work to incorporate as many pull requests as possible. ... -
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Perfetto
Production-grade client-side tracing, profiling, and analysis
...The data model spans kernel and userspace, so you can stitch together CPU scheduling, app lifecycles, binder/IPC hops, GPU work, power and thermal signals, file I/O, heap samples, and more into a single coherent timeline. Perfetto’s ecosystem includes a web-based UI that can load multi-GB traces directly in the browser and an offline “trace processor” that exposes the trace as a queryable SQL-like table schema for deep analysis and automation. It integrates natively with Android (replacing older atrace/Systrace paths) and can sit alongside custom instrumentation in apps or services through its SDKs. -
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XiangShan
Open-source high-performance RISC-V processor
XiangShan is an open-source, high-performance RISC-V processor project that implements out-of-order superscalar cores using Chisel for hardware construction. The design targets modern performance goals—deep pipelines, speculative execution, multi-issue decode/execute, and sophisticated branch prediction—while remaining synthesizable for ASIC flows and portable to FPGAs for research. A modular microarchitecture separates frontend, backend, and memory subsystems with coherent caches and scalable interconnects, enabling multi-core configurations. ... -
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Intel PCM
Intel® Performance Counter Monitor (Intel® PCM)
Intel® Performance Counter Monitor (Intel® PCM) is an application programming interface (API) and a set of tools based on the API to monitor performance and energy metrics of Intel® Core™, Xeon®, Atom™ and Xeon Phi™ processors. PCM works on Linux, Windows, Mac OS X, FreeBSD, DragonFlyBSD and ChromeOS operating systems. -
Fully Managed MySQL, PostgreSQL, and SQL ServerCloud SQL handles your database ops end to end, so you can focus on your app.
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GenAI Processors
GenAI Processors is a lightweight Python library
GenAI Processors is a lightweight Python library for building modular, asynchronous, and composable AI pipelines around Gemini. Its central abstraction is the Processor, a unit of work that consumes an asynchronous stream of parts (text, images, audio, JSON) and produces another stream, making it natural to chain operations and keep everything streaming end-to-end. Processors can be composed sequentially (to build multi-step flows) or in parallel (to fan-out work and merge results), which makes sophisticated agent behaviors easy to express with simple operators. ... -
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Phalcon
High performance, full-stack PHP framework delivered as a C extension
...Classes and functions provided by the extension are ready to use for any application. The code is compiled and isn't interpreted because it's already compiled to a specific platform and processor. Thanks to its low-level architecture and optimizations Phalcon provides the lowest overhead for MVC-based applications. Build single and multi-module applications with ease and pleasure. Using the file structure, scheme and patterns you already know. Phalcon is built upon a powerful yet easy to understand and use pattern called Dependency Injection. ... -
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Benthos
Fancy stream processing made operationally mundane
Benthos is a high performance and resilient stream processor, able to connect various sources and sinks in a range of brokering patterns and perform hydration, enrichments, transformations and filters on payloads. It comes with a powerful mapping language, is easy to deploy and monitor, and ready to drop into your pipeline either as a static binary, docker image, or serverless function, making it cloud native as heck. -
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concretecms
Repository for Concrete CMS development
Do you want a CMS that both developers and editors love? You will spend less time building, managing extensions, and training clients with Concrete CMS. Your clients know how to use a word processor without any training. Would you like their website editing experience to be just as simple? Concrete CMS was designed as an extendable platform for building beautiful websites clients love to manage on their own. The core has lots of built-in features, so you’re not forced to use an ecosystem of incompatible extensions. It’s all offered under the MIT Open Source License. ... -
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ispc
Intel SPMD Program Compiler
ispc is a compiler for a variant of the C programming language, with extensions for single programs, and multiple data programming. Under the SPMD model, the programmer writes a program that generally appears to be a regular serial program, though the execution model is actually that a number of program instances execute in parallel on the hardware. ispc compiles a C-based SPMD programming language to run on the SIMD units of CPUs and GPUs; it frequently provides a 3x or more speedup on... -
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Immutables
Annotation processor to create immutable objects and builders
Java annotation processors to generate simple, safe, and consistent value objects. Do not repeat yourself, try Immutables, the most comprehensive tool in this field. With Immutables you can generate state-of-the-art immutable objects and builders. Type-safe, null-safe and thread-safe, with no boilerplate. Generate builders for immutable objects and even plain static factory methods. Just add jar to classpath and use. No required runtime dependencies! Guava is supported, but not required.... -
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Showkase
Annotation-processor based Android library
Showkase is an Android library developed by Airbnb that helps teams organize, visualize, and manage their Jetpack Compose UI components through an automatically generated component browser. It uses annotation processing to scan the codebase and build a structured interface where developers can explore all composables, colors, and typography in one place. This significantly improves discoverability and reuse of UI elements, which is often a major challenge in large codebases with hundreds of... -
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Hacker Laws
Laws, theories, principles and patterns useful to developers
...This repository is a reference and overview of some of the most common ones. Principles and laws to follow such as: If a program is made up of two parts, part A, which must be executed by a single processor, and part B, which can be parallelised, then we see that adding multiple processors to the system executing the program can only have a limited benefit. It can potentially greatly improve the speed of part B - but the speed of part A will remain unchanged. Also, theories like The Broken Windows Theory, which suggests that visible signs of crime (or lack of care of an environment) lead to further and more serious crimes (or further deterioration of the environment). ... -
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reko
Reko is a binary decompiler
...Reko project files contain additional information about a binary file, helpful to the decompilation process or for formatting the output. The decompiler engine then proceeds to analyze the input binary. Reko has the ambition of supporting decompilation of various processor architectures and executable file formats with minimal user intervention. For a complete list, see the supported binaries page. -
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Apollo-11
Original Apollo 11 Guidance Computer (AGC) source code
...It is written in AGC assembly and reflects 1960s software engineering practices, complete with comments from the original programmers. The code is both a cultural artifact and a technical reference, illustrating how limited memory and processor constraints shaped algorithms and system design. Developers can examine navigation routines, guidance logic, and task scheduling in an environment with no luxury features—everything is explicit and resource-aware. The repository’s structure and documentation make it approachable for modern readers despite the archaic environment. ... -
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oneDNN
oneAPI Deep Neural Network Library (oneDNN)
This software was previously known as Intel(R) Math Kernel Library for Deep Neural Networks (Intel(R) MKL-DNN) and Deep Neural Network Library (DNNL). oneAPI Deep Neural Network Library (oneDNN) is an open-source cross-platform performance library of basic building blocks for deep learning applications. oneDNN is part of oneAPI. The library is optimized for Intel(R) Architecture Processors, Intel Processor Graphics and Xe Architecture graphics. oneDNN has experimental support for the following architectures: Arm* 64-bit Architecture (AArch64), NVIDIA* GPU, OpenPOWER* Power ISA (PPC64), IBMz* (s390x), and RISC-V. oneDNN is intended for deep learning applications and framework developers interested in improving application performance on Intel CPUs and GPUs. ... -
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AWS Node Termination Handler
Gracefully handle EC2 instance shutdown within Kubernetes
...Secure and resizable compute capacity for virtually any workload. Amazon Elastic Compute Cloud (Amazon EC2) offers the broadest and deepest compute platform, with over 500 instances and a choice of the latest processor, storage, networking, operating system, and purchase model to help you best match the needs of your workload. We are the first major cloud provider that supports Intel, AMD, and Arm processors, the only cloud with on-demand EC2 Mac instances, and the only cloud with 400 Gbps Ethernet networking. -
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Brighter
A framework for building messaging apps with .NET and C#
This project is a Command Processor & Dispatcher implementation with support for task queues that can be used as a lightweight library. It can be used for implementing Ports and Adapters and CQRS (PDF) architectural styles in .NET. It can also be used in microservices architectures for decoupled communication between the services. Brighter supports Task Queues. As such it can be used to improve performance by introducing concurrency using a queue, and/or as an integration strategy between Microservices using messaging via a lightweight broker. ... -
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YAO
Yao A low code engine to create web services and dashboard
...Yao is a low-code engine that creates a database model, writes API services, and describes dashboard interface just by JSON for web & hardware, no code, and 10x productivity. Yao is based on the flow-based programming idea, developed in the Go language, and supports multiple ways to expand the data stream processor. This makes Yao extremely versatile, which can replace programming languages in most scenarios, and is 10 times more efficient than traditional programming languages in terms of reusability and coding efficiency; application performance and resource ratio Better than PHP, JAVA and other languages. Yao has a built-in data management system. ... -
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node-canvas
Node canvas is a Cairo backed Canvas implementation for NodeJS
If you don't have a supported OS or processor architecture, or you use --build-from-source, the module will be compiled on your system. This requires several dependencies, including Cairo and Pango. Note that libgif/giflib, librsvg and libjpeg are optional and only required if you need GIF, SVG and JPEG support, respectively. Cairo v1.10.0 or later is required. This project is an implementation of the Web Canvas API and implements that API as closely as possible. -
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Jittor
Jittor is a high-performance deep learning framework
Jittor is a high-performance deep learning framework based on JIT compiling and meta-operators. The whole framework and meta-operators are compiled just in time. A powerful op compiler and tuner are integrated into Jittor. It allowed us to generate high-performance code specialized for your model. Jittor also contains a wealth of high-performance model libraries, including image recognition, detection, segmentation, generation, differentiable rendering, geometric learning, reinforcement...
