microbench | metadata tracking for Python

by alubbock Python Version: 0.8 License: MIT

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | microbench Summary

microbench is a Python library typically used in Big Data, Tensorflow, Jupyter, Hadoop applications. microbench has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install microbench' or download it from GitHub, PyPI.

![Microbench: Benchmarking and reproducibility metadata capture for Python] microbench.png). Microbench is a small Python package for benchmarking Python functions, and optionally capturing extra runtime/environment information. It is most useful in clustered/distributed environments, where the same function runs under different environments, and is designed to be extensible with new functionality. In addition to benchmarking, this can help reproducibility by e.g. logging the versions of key Python packages, or even all packages loaded into the global environment.

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Quality

Security

License

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Support

microbench has a low active ecosystem.

It has 8 star(s) with 0 fork(s). There are 3 watchers for this library.

It had no major release in the last 12 months.

microbench has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of microbench is 0.8

Quality

microbench has no bugs reported.

Security

microbench has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

microbench is licensed under the MIT License. This license is Permissive.

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

Reuse

microbench releases are not available. You will need to build from source code and install.

Deployable package is available in PyPI.

Build file is available. You can build the component from source.

Installation instructions, examples and code snippets are available.

Top functions reviewed by kandi - BETA

kandi has reviewed microbench and discovered the below as its top functions. This is intended to give you an instant insight into microbench implemented functionality, and help decide if they suit your requirements.

Returns a dict of the command - line arguments for this project
Extract the version information from setup py
Get the project root directory
Create a ConfigParser from root
Create a versioneer config file
Install versioneer
Extract version information from VCS
Scans the setup py and returns a boolean indicating whether it is missing
Recursively capture the package version
Capture the package version
Show diff between two objects
Compute the diff between two strings
Align two sequences
Convert binary data to json string
Start the thread
Get telemetry data

Get all kandi verified functions for this library.

microbench Key Features

No Key Features are available at this moment for microbench.

microbench Examples and Code Snippets

No Code Snippets are available at this moment for microbench.

Community Discussions

Trending Discussions on microbench

R: Using "microbenchmark" and ggplot2 to plot runtimes

QUESTION

R: Using "microbenchmark" and ggplot2 to plot runtimes

Asked 2020-Dec-26 at 18:48

I am using the R programming language. I want to learn how to measure and plot the run time of difference procedures as the size of the data increases.

I found a previous stackoverflow post that answers a similar question: Plot the run time of three functions

It seems that the "microbenchmark" library in R should be able to accomplish this task.

Suppose I simulate the following data:

...

ANSWER

Answered 2020-Dec-26 at 17:59

My first answer severely misunderstood your question. I hope this can be of some help.

Source https://stackoverflow.com/questions/65458335

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install microbench

To install using pip:.

Support

Microbench also has support for [line_profiler](https://github.com/rkern/line_profiler), which shows the execution time of each line of Python code. Note that this will slow down your code, so only use it if needed, but it’s useful for discovering bottlenecks within a function. Requires the line_profiler package to be installed (e.g. pip install line_profiler).

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