BenchmarkDotNet Alternatives
Similar projects and alternatives to BenchmarkDotNet based on common topics and language
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Bogus
:card_index: A simple and sane fake data generator for C#, F#, and VB.NET. Based on and ported from the famed faker.js.
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Syncfusion
Build powerful line-of-business applications using Syncfusion Xamarin UI controls.. Essential Studio for Xamarin is a comprehensive collection of components for Xamarin.Forms application development platforms. It includes a rich selection of components including charts, grids, a list view, gauges, maps, a scheduler, and a PDF viewer.
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App.Metrics
App Metrics is an open-source and cross-platform .NET library used to record and report metrics within an application.
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CodeMaid
CodeMaid is an open source Visual Studio extension to cleanup and simplify our C#, C++, F#, VB, PHP, PowerShell, JSON, XAML, XML, ASP, HTML, CSS, LESS, SCSS, JavaScript and TypeScript coding.
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Unchase.FluentPerformanceMeter
:hammer: Make the exact performance measurements of the public methods for public classes using this NuGet Package with fluent interface. Requires .Net Standard 2.0+. It is an Open Source project under Apache-2.0 License.
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Scout APM
Scout APM: A developer's best friend. Try free for 14-days. Scout APM uses tracing logic that ties bottlenecks to source code so you know the exact line of code causing performance issues and can get back to building a great product faster.
Posts
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Performance comparison of iteration methods over arrays & lists
So I did some measurements (by the help of BenchmarkDotNet) and seeing the results, I decided my findings might be worth sharing.
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C# Async Await, Eventually: Thread Pools
I used https://github.com/dotnet/BenchmarkDotNet to produce the following bar plot ... The time is shown in microseconds and the plot compares the benchmark results between a simple for loop and thread creation where the number of iterations starts at 1 then doubles until we get to 128. Hopefully you can see that starting threads can be a costly exercise.
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Measuring performance using BenchmarkDotNet - Part 3 Breaking Builds
Previously we discussed the absolute bare minimum to run BenchmarkDotNet in your CI pipeline. Your code builds, benchmarks are taken, and you have to drill down into the numbers.
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String similarity search and fast LIKE operator using pg_trgm
I wrote some very simple benchmarks using BenchmarkDotNet and here is the results:
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Benchmarking two different approaches for collection validation
But, is it really better? To answear that question I searched a way to benchmark it and decided to use: benchmarkdotnet. And I came up with this:
- Dica Rápida: Testando desempenho com BenchmarkDotNet
- Inlining Optimizations can be Surprising
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Dynamic method invocation with .NET Core
You should use a benchmark library to get accurate benchmarks, like BenchmarkDotNet. You can see one of the issues not using one when your func roundabout first call was faster than the direct call, which doesn't pass the sniff test.
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Why does my code run faster after each time?
Thats why I prefer to use https://github.com/dotnet/BenchmarkDotNet when I need to benchmark something.
Stats
dotnet/BenchmarkDotNet is an open source project licensed under MIT License which is an OSI approved license.
