Package Description
Roslyn based C# heap allocation diagnostic analyzer that can detect explicit and many implicit allocations like boxing, display classes a.k.a closures, implicit delegate creations, etc The code-assist version that integrates with the Visual Studio 2019 IDE is here, https://marketplace.visualstudio.com/items?itemName=MukulSabharwal.ClrHeapAllocationAnalyzer NOTE: This is the build analyzer. NOTE: You require ' ' ' ' Visual Studio 2019 ' ' ' ' for this to work.
Algorithm and data-structure library for .NET 4.5.2+ / Netstandard 2.0+. Algorithmia contains sophisticated algorithms and data-structures like graphs, priority queues, command, undo-redo and more. Algorithmia is one of the pillars of LLBLGen Pro and is used in production successfully since May 2010. Many of the classes and algorithms in Algorithmia contain references to papers and articles on Wikipedia or other websites where you can find additional information regarding the algorithm or data-structure implemented. The core design of Algorithmia is about making algorithms and data-structures which are known for many years available to the .NET developer in easy to use and properly documented classes and methods. No class or method implemented in Algorithmia re-implements a .NET BCL (base class library) class or method unless it was necessary to do so (e.g. the linked list in .NET is re-implemented as it doesn't have an O(1) concat operation, which is necessary for the Fibonacci heap).
Rapidjson is an attempt to create the fastest JSON parser and generator. This is an unofficial release from the master branch as of 11/2017. - Small but complete. Supports both SAX and DOM style API. SAX parser only a few hundred lines of code. - Fast. In the order of magnitude of strlen(). Optionally supports SSE2/SSE4.2 for acceleration. - Self-contained. Minimal dependency on standard libraries. No BOOST, not even STL. - Compact. Each JSON value is 16 or 20 bytes for 32 or 64-bit machines respectively (excluding text string storage). With the custom memory allocator, parser allocates memory compactly during parsing. - Full RFC4627 compliance. Supports UTF-8, UTF-16 and UTF-32. - Support both in-situ parsing (directly decode strings into the source JSON text) and non-destructive parsing (decode strings into new buffers). - Parse number to int/unsigned/int64_t/uint64_t/double depending on input - Support custom memory allocation. Also, the default memory pool allocator can also be supplied with a user buffer (such as a buffer allocated on user's heap or - programme stack) to minimize allocation. As the name implies, rapidjson is inspired by rapidxml.
NFX CORE Package NFX UNISTACK includes: Application Container + Dependency Injection facilities Configuration engine BigMemory: Local/Distributed piles/heaps, ability to store hundreds of millions of objects resident in memory for long times without killing GC BigMemory Cache - store hudreds of millions of objects in RAM without GC pressure (full GC scan <20ms @ 300M+ objects 64 Gb taken) Logging with 8+ destinations/sinks(text, email, flood filter etc.) Distributed contact-oriented communication framework NFX.Glue (replaces WCF) Security with users, credentials, roles, permissions JSON parsing, ser/deser support Ultra efficient Binary serialization support Erlang CLR support with native types: tuples, lists, pattern matching Text lexing/parsing and processing pipeline: C# lexer, JSON lexer/Parser RelationalSchema language compiler - generate DDL for different targets Templatization engine (for web, emails and not only textual content) NFX.WAVE - Web Server with hybrid injectable threading model (replaces IIS + ASP.NET) NFX.WAVE.Mvc - MVC framework for web pages WV.js - a web component library auto-bindable to server MVC/MVVM Database access layer with virtual commands/queries/transactions ID generation - GlobalDistributed IDS (GDID), FID - fast process-wide ID Virtual Social Network - Twitter/Facebook/Google+ et al Virtual Payment Processing - Stripe,PayPal providers Virtual File Systems - AmazonS3, SVN, Local QR Code Creation In progress: Virtual document model with rendering to PDF, HTML and other formats In Progress: PDF DOM model + rendering
Rapidjson is an attempt to create the fastest JSON parser and generator. - Small but complete. Supports both SAX and DOM style API. SAX parser only a few hundred lines of code. - Fast. In the order of magnitude of strlen(). Optionally supports SSE2/SSE4.2 for acceleration. - Self-contained. Minimal dependency on standard libraries. No BOOST, not even STL. - Compact. Each JSON value is 16 or 20 bytes for 32 or 64-bit machines respectively (excluding text string storage). With the custom memory allocator, parser allocates memory compactly during parsing. - Full RFC4627 compliance. Supports UTF-8, UTF-16 and UTF-32. - Support both in-situ parsing (directly decode strings into the source JSON text) and non-destructive parsing (decode strings into new buffers). - Parse number to int/unsigned/int64_t/uint64_t/double depending on input - Support custom memory allocation. Also, the default memory pool allocator can also be supplied with a user buffer (such as a buffer allocated on user's heap or - programme stack) to minimize allocation. As the name implies, rapidjson is inspired by rapidxml.
High performance LINQ implementation with minimal heap allocations. Supports enumerables, async enumerables, arrays and Span.
Rapidjson is an attempt to create the fastest JSON parser and generator. - Small but complete. Supports both SAX and DOM style API. SAX parser only a few hundred lines of code. - Fast. In the order of magnitude of strlen(). Optionally supports SSE2/SSE4.2 for acceleration. - Self-contained. Minimal dependency on standard libraries. No BOOST, not even STL. - Compact. Each JSON value is 16 or 20 bytes for 32 or 64-bit machines respectively (excluding text string storage). With the custom memory allocator, parser allocates memory compactly during parsing. - Full RFC4627 compliance. Supports UTF-8, UTF-16 and UTF-32. - Support both in-situ parsing (directly decode strings into the source JSON text) and non-destructive parsing (decode strings into new buffers). - Parse number to int/unsigned/int64_t/uint64_t/double depending on input - Support custom memory allocation. Also, the default memory pool allocator can also be supplied with a user buffer (such as a buffer allocated on user's heap or - programme stack) to minimize allocation. As the name implies, rapidjson is inspired by rapidxml.
A fast generic PriorityQueue data structure .NET
Simple implementation of the Fibonacci Head Datastructure.
ListPool and ValueListPool are optimized allocation free implementations of IList using ArrayPool. Changelog: * Improve dispose performance ListPool is the general use of the implementation, we recommend to use ListPool for most of the cases. ValueListPool is the zero heap allocations implementation, it is optimal working along stackalloc initial buffer for small lists. Note, because it is a struct it is passed by value, not by reference.
Fully managed library providing five types of heap. It implements d-ary, binary, binomial, Fibonacci and pairing heaps, in order to let the user choose the best heap to fit her needs. Each heap has its own advantages and disadvantages: please see the documentation or Wikipedia to better understand how those data structures work and how they behave in each operation.
C# implementation of generic heap-based concurrent priority queue for .NET
Extremely fast MurmurHash implementation with zero heap allocations
Provides generic pointer operations for all of .NET, building on the capabilities provided by FSharp.NativeInterop.NativePtr, which this package extends with features like 64-bit capabilities, exposed in an OOP-friendly manner as NativePtr<T> and extension methods to System.IntPtr. NativeArray, an array-like collection of items of unmanaged (blittable) type allocated on the unmanaged heap, supports 64-bit addressing and item access with and without bounds checks, utilizing the CPU's AGUs for address offset calculation where possible. The included System.IO.Stream extension methods as well as the Buffer and Structure modules enable easy and efficient handling of structured binary data (convert array types, convert structs, access structs in an element-wise fashion, memcpy...).
Native buffer for use with managed code. The buffer is allocated on the native heap rather than managed memory, as our buffers would be put in LOH if they were managed.
Performance-optimised JSON parser that avoids the Large Object Heap.
C# implementations of thread-safe PriorityQueue and SkipList for .NET
Best helper of the Api Wizards. Be carefull using magics. They are not tested.
This version is for Universal Windows Platform apps on Windows 10 / Windows 11 using Visual Studio 2022. Features: Audio - low-level audio API using XAudio2 BufferHelpers - C++ helpers for creating D3D resources from CPU data CommonStates - common D3D state combinations DDSTextureLoader - light-weight DDS file texture loader DescriptorHeap - helper for managing DX12 descriptor heaps DirectXHelpers - misc C++ helpers for D3D programming Effects - set of built-in shaders for common rendering tasks EffectPipelineStateDescription - helper for creating PSOs GamePad - gamepad controller helper using Windows.Gaming.Input GeometricPrimitive - draws basic shapes such as cubes and spheres GraphicsMemory - helper for managing graphics memory allocation Keyboard - keyboard state tracking helper Model - draws meshes loaded from .CMO, .SDKMESH, or .VBO files Mouse - mouse helper PostProcess - set of built-in shaders for common post-processing operations PrimitiveBatch - simple and efficient way to draw user primitives RenderTargetState - helper for communicating render target requirements when creating PSOs ResourceUploadBatch - helper for managing texture resource upload to the GPU ScreenGrab - light-weight screen shot saver SimpleMath - simplified C++ wrapper for DirectXMath SpriteBatch - simple & efficient 2D sprite rendering SpriteFont - bitmap based text rendering VertexTypes - structures for commonly used vertex data formats WICTextureLoader - WIC-based image file texture loader
NameCheapDotNet is a .NET wrapper for the Namecheap API
Loyc.Collections is a library of sophisticated data structures that implement standard .NET collection interfaces. It includes ALists, VLists, hash tree types (Set<T>, MSet<T>, Map<K,V> and MMap<K,V>), and min/max heaps.
DISCLAIMER: This is an "unchecked" version of the Hippie library, that is, it is a release where all integrity checks have been stripped away to achieve the best performance. Use this instead of the original Hippie library IF AND ONLY IF you are certain that your code does not rely on those integrity checks and that it never violates them. Fully managed library providing five types of heap. It implements d-ary, binary, binomial, Fibonacci and pairing heaps, in order to let the user choose the best heap to fit her needs. Each heap has its own advantages and disadvantages: please see the documentation or Wikipedia to better understand how those data structures work and how they behave in each operation.
NFX.Web Package NFX UNISTACK includes: Application Container + Dependency Injection facilities Configuration engine BigMemory: Local/Distributed piles/heaps, ability to store hundreds of millions of objects resident in memory for long times without killing GC BigMemory Cache - store hudreds of millions of objects in RAM without GC pressure (full GC scan <20ms @ 300M+ objects 64 Gb taken) Logging with 8+ destinations/sinks(text, email, flood filter etc.) Distributed contact-oriented communication framework NFX.Glue (replaces WCF) Security with users, credentials, roles, permissions JSON parsing, ser/deser support Ultra efficient Binary serialization support Erlang CLR support with native types: tuples, lists, pattern matching Text lexing/parsing and processing pipeline: C# lexer, JSON lexer/Parser RelationalSchema language compiler - generate DDL for different targets Templatization engine (for web, emails and not only textual content) NFX.WAVE - Web Server with hybrid injectable threading model (replaces IIS + ASP.NET) NFX.WAVE.Mvc - MVC framework for web pages WV.js - a web component library auto-bindable to server MVC/MVVM Database access layer with virtual commands/queries/transactions ID generation - GlobalDistributed IDS (GDID), FID - fast process-wide ID Virtual Social Network - Twitter/Facebook/Google+ et al Virtual Payment Processing - Stripe,PayPal providers Virtual File Systems - AmazonS3, SVN, Local QR Code Creation In progress: Virtual document model with rendering to PDF, HTML and other formats In Progress: PDF DOM model + rendering
Provides a set of collections that reduce the memory usage and more especially the large object heap.
This version is for Windows desktop applications using Visual Studio 2017, Visual Studio 2019, or Visual Studio 2022. Features: Audio - low-level audio API using XAudio2 BufferHelpers - C++ helpers for creating D3D resources from CPU data CommonStates - common D3D state combinations DDSTextureLoader - light-weight DDS file texture loader DescriptorHeap - helper for managing DX12 descriptor heaps DirectXHelpers - misc C++ helpers for D3D programming Effects - set of built-in shaders for common rendering tasks EffectPipelineStateDescription - helper for creating PSOs GamePad - gamepad controller helper using XInput GeometricPrimitive - draws basic shapes such as cubes and spheres GraphicsMemory - helper for managing graphics memory allocation Keyboard - keyboard state tracking helper Model - draws meshes loaded from .CMO, .SDKMESH, or .VBO files Mouse - mouse helper PostProcess - set of built-in shaders for common post-processing operations PrimitiveBatch - simple and efficient way to draw user primitives RenderTargetState - helper for communicating render target requirements when creating PSOs ResourceUploadBatch - helper for managing texture resource upload to the GPU ScreenGrab - light-weight screen shot saver SimpleMath - simplified C++ wrapper for DirectXMath SpriteBatch - simple & efficient 2D sprite rendering SpriteFont - bitmap based text rendering VertexTypes - structures for commonly used vertex data formats WICTextureLoader - WIC-based image file texture loader
NFX.MongoDB Provider Package NFX UNISTACK includes: Application Container + Dependency Injection facilities Configuration engine BigMemory: Local/Distributed piles/heaps, ability to store hundreds of millions of objects resident in memory for long times without killing GC BigMemory Cache - store hudreds of millions of objects in RAM without GC pressure (full GC scan <20ms @ 300M+ objects 64 Gb taken) Logging with 8+ destinations/sinks(text, email, flood filter etc.) Distributed contact-oriented communication framework NFX.Glue (replaces WCF) Security with users, credentials, roles, permissions JSON parsing, ser/deser support Ultra efficient Binary serialization support Erlang CLR support with native types: tuples, lists, pattern matching Text lexing/parsing and processing pipeline: C# lexer, JSON lexer/Parser RelationalSchema language compiler - generate DDL for different targets Templatization engine (for web, emails and not only textual content) NFX.WAVE - Web Server with hybrid injectable threading model (replaces IIS + ASP.NET) NFX.WAVE.Mvc - MVC framework for web pages WV.js - a web component library auto-bindable to server MVC/MVVM Database access layer with virtual commands/queries/transactions ID generation - GlobalDistributed IDS (GDID), FID - fast process-wide ID Virtual Social Network - Twitter/Facebook/Google+ et al Virtual Payment Processing - Stripe,PayPal providers Virtual File Systems - AmazonS3, SVN, Local QR Code Creation In progress: Virtual document model with rendering to PDF, HTML and other formats In Progress: PDF DOM model + rendering
A very cheap .NET localization library.
Package Description
Priority queue, reversible dictionary, reversible sorted dictionary, dynamic multidimensional array, heap, heapsort etc.
A library for all the data structures in C#. Every class is generic and reusable.
This package contains a library for C# containing a plethora of collection types which are not provided by the .NET standard libraries. Sammlung (/'zamlʊŋ/) is german for collection and is pronounced some-loong.
NList brings an enormous number of powerful, STL-like algorithms to the .NET platform for processing indexable collections. There is a handlebars.js-like text generator. It has a powerful IComparer builder. There is a DefaultDictionary class. There is a class to convert an object into a dictionary of its properties.
This package makes it possible to read or write raw object memory You can also allocate objects on the native heap
NCommons is a set of several .NET libraries which provide common building blocks that can be used by any kind of library or application. This library provides several generic and specialized collection-type members. Commonly Used Types: IPriorityQueue<T> PriorityQueue<T> Heap<T> BinaryHeap<T> INotifyCollectionChanging PreviewingObservableCollection<T> WeakReferenceCollection<T> You can find additional information and documentation on the library's GitHub page: https://github.com/manuelroemer/NCommons
LinksPlatform's Platform.WindowsAPI Class Library
High performance LINQ implementation with minimal heap allocations. Supports all collections in System.Collections.Immutable.
With Edge.js you can script Node.js in a .NET application. Edge.js allows you to run Node.js and .NET code in one process. You can call Node.js functions from .NET and .NET functions from Node.js. Edge.js takes care of marshalling data between CLR and V8. Edge.js also reconciles threading models of single threaded V8 and multi-threaded CLR. Edge.js ensures correct lifetime of objects on V8 and CLR heaps. This Edge.js NuGet package supports scripting Node.js v8.2.1.
This package provides multiple collection such as improvided (KdTree with selection, Fibonacci heaps, ...) implementation and commonly used extension for .Net types.based methods and algorithms to handle math computing taks. For more details how to use MARS, please use the documentation: https://www.mars-group.org/docs/tutorial/intro
The C5 Generic Collection Library for C# and CLI is a comprehensive collection library supporting lists, sets, bags, dictionaries, priority queues, (FIFO) queues, and (LIFO) stacks. C5 runs on everything supporting .NET Standard 2.0: .NET Core 2.0+, .NET 4.6.1+, Mono, Xamarin, Universal Windows Platform, and Unity.
Additional collections, search, sort and more.
A MemoryStream replacement that avoids using the Large Object Heap
Sammlung is a library for .NET containing a plethora of collection types which are not provided or where the particular implementation is hidden by the .NET libraries. Sammlung (/'zamlʊŋ/) is german for collection and is pronounced some-loong. This is the collection package for heaps.
Easy to use BinaryHeap implementation with IEnumerable extension for simple conversion.