tiny-cpp-perf-stats | Project intends to provide an easy framework

by HFTrader C++ Version: Current License: MIT

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kandi X-RAY | tiny-cpp-perf-stats Summary

tiny-cpp-perf-stats is a C++ library. tiny-cpp-perf-stats has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

This project intends to provide an easy framework for modelling algorithm behavior. It grew organically from the necessity of tapping into the internal CPU performance counters and then generating some statistics on it. The project is composed of one very simple class/API for encapsulation of the stats collection and on simple OLS solver for model selection. Once data is collected, several statistical models are fitted. The best fit is then printed.

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Support

tiny-cpp-perf-stats has a low active ecosystem.

It has 34 star(s) with 10 fork(s). There are 8 watchers for this library.

It had no major release in the last 6 months.

tiny-cpp-perf-stats has no issues reported. On average issues are closed in 32 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of tiny-cpp-perf-stats is current.

Quality

tiny-cpp-perf-stats has no bugs reported.

Security

tiny-cpp-perf-stats has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

tiny-cpp-perf-stats is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

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tiny-cpp-perf-stats releases are not available. You will need to build from source code and install.

Installation instructions are not available. Examples and code snippets are available.

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tiny-cpp-perf-stats Key Features

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tiny-cpp-perf-stats Examples and Code Snippets

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Community Discussions

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Vulnerabilities

No vulnerabilities reported

Install tiny-cpp-perf-stats

You can download it from GitHub.

Support

Could I have just used "perf stat"? No, because in this case you will be counting initialization and destruction phases of the process as well. Most of the time it is just a tiny section in the middle that you want to measure. Could I have just generated a CSV with the performance counters and then used R or python to generate the results? Yes, but there is a convenience factor to have everything in a single binary - less moving parts for installation. This way we do not depend on any particular python version or library installed.

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