Found 113 packages
Microsoft Application Insights Profiler for ASP.NET Core.
JetBrains Profiler API allows you to control profiling sessions right from the code of your application. Use this API in conjunction with JetBrains dotTrace, JetBrains dotMemory, or JetBrains dotCover. This API can also be used in conjunction with JetBrains Self-Profiling API.
The dotTrace console tool lets you start a profiling session and get performance snapshots from the command line. This can be helpful in various scenarios, like: * profiling an application on a remote server, * automating the process of gathering performance snapshots, for example, as a part of your continuous integration builds, * speeding up profiling routines by creating profiling scripts. The tool supports profiling of .NET Framework, .NET Core, Mono, and Unity applications. The tool is a JetBrains Redistributable Product. This means it is free and can be freely redistributed. Note that it does not require JetBrains dotTrace to be installed on your machine. At the same time, to analyze the collected snapshots, you will need the standalone version of JetBrains dotTrace or JetBrains Rider.
JetBrains Self-Profiling API lets you initiate and control profiling sessions right from the code of your application. The snapshots taken by the API calls can be later opened and investigated in JetBrains profiling tools. The main advantage of Self-Profiling API is that it doesn't require the profiling tools to be installed on the end-user machine. For example, you can use this API to take memory snapshots of your application on end-user desktops, staging and production servers, and so on. ATTENTION: Note that for its work JetBrains Self-Profiling API uses the JetBrains.dotMemory.Console and JetBrains.dotTrace.CommandLineTools packages which is distributed under the JetBrains Redistributable Product license: The library is free and can be freely redistributed but disassembling is not allowed.
A near-C++ performance implementation of the Snappy compression algorithm for .NET. Snappier is ported to C# directly from the official C++ implementation, with the addition of support for the framed stream format. By avoiding P/Invoke, Snappier is fully cross-platform and works on both Linux and Windows and against any CPU supported by .NET. However, Snappier performs best in .NET 6 and later on little-endian x86/64 processors with the help of System.Runtime.Instrinsics.
IronOCR is an advanced OCR (Optical Character Recognition) library for C# and .NET It provides Tesseract OCR on Mac, Windows, Linux, Azure and Docker for: * .NET Framework 4.6.2 + * .NET Standard 2.0 + * .NET Core 2.0 + * .NET 5 * .NET 6 * .NET 7 * .NET 8 * .NET 9 * .NET 10 * Mono for MacOS and Linux * Xamarin for MacOS IronOCR reads Text, Barcodes & QR from all major image and PDF formats using the latest Tesseract 5 engine. This library adds OCR functionality to Desktop, Console and Web applications in minutes. IronOCR's Unique Features: * Pure .Net OCR API * All OCR tasks run locally (no SAAS) * 125 languages * Barcode & QR Code reading * Corrects low quality, noisy and distorted scans * Performance tuned above and beyond any other known build of Tesseract OCR. * Reads PDFs * Reads multi-page TIFFs * Can save any OCR Scan to a searchable PDF document or XHTML Data output options include: Plain Text, Barcode Data and an OCR Result class containing paragraphs, lines, words, and characters. Language Support: 125 Languages including Arabic, Chinese, English, Finnish, French, German, Hebrew, Italian, Japanese, Korean, Portuguese, Russian, Spanish... Custom language packs can also be created. Licensing & Support available for commercial deployments. Email: support@ironsoftware.com For code examples, documentation & more visit http://ironsoftware.com/csharp/ocr/
Dew.Math.Linux provides the high-performance numerical computation capabilities of Dew.Math, but with native acceleration binaries compiled for Linux. It is designed for compute clusters, scientific servers, containerized deployment environments, and performance-critical Linux workloads. Core Numerical Capabilities: - Dense linear algebra (BLAS/LAPACK): decomposition and eigenvalue routines optimized for AVX/AVX-512 - Sparse matrix operations with Pardiso and UMFPACK direct solvers and Krylov-based iterative solvers - Complex-valued linear algebra and spectral computations - Polynomial operations, splines, interpolation, approximate function models, and spectral transforms - Probability distributions, stochastic simulation, and random number engines - Special function library suitable for numerical physics, statistics, and differential systems - Optimization algorithms for non-linear fitting, gradient models, linear programming, and statistical inference Performance Architecture: - Linux-native accelerated BLAS/LAPACK libraries - Multithreaded vectorized math with CPU feature dispatch (AVX/AVX2/AVX-512) - Low-overhead memory allocator for stable scaling under parallel workloads - Optional OpenCL GPU integration for Linux compute environments Platform Model: - Contains Linux native runtime binaries - For Windows native acceleration use: Dew.Math - For portable managed-only computation use: Dew.Math.Core Use Dew.Math.Linux for Linux HPC compute nodes, microservice model engines, AI research pipelines, and scalable distributed scientific processing.
This package is the AppDynamics SDK agent for .NET Core on Linux. It is recommended for standalone installations. With the AppDynamics agent, you can: - Monitor the health of your solution - Troubleshoot performance problems in real time - Rapidly diagnose root cause of performance problems
Intel® Math Kernel Library (Intel® MKL) is a computing math library of highly optimized, extensively threaded routines for applications that require maximum performance. This package provides C programming language interfaces. Intel MKL C language interfaces can be called from applications written in either C or C++, as well as in any other language that can reference a C interface.
Package includes header files, linux-x64 and linux-x86 dynamic libraries Intel OpenMP* Runtime Library provides OpenMP API specification support in Intel® C Compiler, Intel® C++ Compiler and Intel® Fortran Compiler. It helps to improve performance by creating multithreaded software using shared memory and running on multi-core processor systems.
Package includes header files, linux-x64 dynamic libraries Intel® oneAPI Threading Building Blocks (oneTBB) is a flexible performance library that supports scalable parallel programming using C++ code compliant with ISO C++ standard.
Package includes header files, linux-x64 and linux-x86 static libraries Intel OpenMP* Runtime Library provides OpenMP API specification support in Intel® C Compiler, Intel® C++ Compiler and Intel® Fortran Compiler. It helps to improve performance by creating multithreaded software using shared memory and running on multi-core processor systems.
Package includes linux-x86 dynamic libraries and interfaces Intel® oneAPI Math Kernel Library (Intel® oneMKL) is a computing math library of highly optimized, extensively threaded routines for applications that require maximum performance. This package provides C and Data Parallel C++ (DPC++) programming language interfaces. Intel MKL C language interfaces can be called from applications written in either C or C++, as well as in any other language that can reference a C interface. Use it to optimize code for current and future generations of Intel® CPUs and GPUs.
Package includes linux-x86 static libraries and interfaces Intel® oneAPI Math Kernel Library (Intel® oneMKL) is a computing math library of highly optimized, extensively threaded routines for applications that require maximum performance. This package provides C and Data Parallel C++ (DPC++) programming language interfaces. Intel MKL C language interfaces can be called from applications written in either C or C++, as well as in any other language that can reference a C interface. Use it to optimize code for current and future generations of Intel® CPUs and GPUs.
Contains the Linux log parsing library.
Contains the Linux log parsing core library.