optick VS Unchase.FluentPerformanceMeter

Compare optick vs Unchase.FluentPerformanceMeter and see what are their differences.

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. (by unchase)
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optick Unchase.FluentPerformanceMeter
7 -
2,859 38
- -
0.0 0.0
28 days ago about 3 years ago
C# C#
MIT License Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

optick

Posts with mentions or reviews of optick. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-06-29.

Unchase.FluentPerformanceMeter

Posts with mentions or reviews of Unchase.FluentPerformanceMeter. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning Unchase.FluentPerformanceMeter yet.
Tracking mentions began in Dec 2020.

What are some alternatives?

When comparing optick and Unchase.FluentPerformanceMeter you can also consider the following projects:

tracy - Frame profiler

MiniProfiler - A simple but effective mini-profiler for ASP.NET (and Core) websites

Rin - Request/response Inspector middleware for ASP.NET Core

palanteer - Visual Python and C++ nanosecond profiler, logger, tests enabler

Glimpse - The open source diagnostics platform for the web

tiny-differentiable-simulator - Tiny Differentiable Simulator is a header-only C++ and CUDA physics library for reinforcement learning and robotics with zero dependencies.

Memory.Unsafe - Unsafe methods for working with unmanaged memory and pointers.

MicroBenchmarksDotNet - C# Benchmarks for a better understanding of performance cost

BenchmarkDotNet - Powerful .NET library for benchmarking