pyJoules VS freqbench

Compare pyJoules vs freqbench and see what are their differences.

pyJoules

A Python library to capture the energy consumption of code snippets (by powerapi-ng)

freqbench

Comprehensive CPU frequency performance/power benchmark (by kdrag0n)
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pyJoules freqbench
1 1
59 160
- -
0.0 4.7
about 1 year ago 19 days ago
Python Python
MIT License MIT License
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.

pyJoules

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

freqbench

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

What are some alternatives?

When comparing pyJoules and freqbench you can also consider the following projects:

s-tui - Terminal-based CPU stress and monitoring utility

PaddlePaddle - PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice (『飞桨』核心框架,深度学习&机器学习高性能单机、分布式训练和跨平台部署)

python - Official Python client library for kubernetes

linqit - Extend python lists operations using .NET's LINQ syntax for clean and fast coding.

TheAlgorithms - All Algorithms implemented in Python

pathfinder.vim - Vim plugin to suggest better movements

auto-cpufreq - Automatic CPU speed & power optimizer for Linux

gnv - An automation CLI tool to controls most of the features of GitHub in an automated look

learnergy - 💡 Learnergy is a Python library for energy-based machine learning models.

eemeter - An open source python package for implementing and developing standard methods for calculating normalized metered energy consumption and avoided energy use.

mscs-thesis-project - Evaluating Languages for Bioinformatics: Performance, Expressiveness and Energy

python-mss - An ultra fast cross-platform multiple screenshots module in pure Python using ctypes.