lscpu + neofetch = cpufetch

This page summarizes the projects mentioned and recommended in the original post on news.ycombinator.com

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  • cpufetch

    Simple yet fancy CPU architecture fetching tool

  • png2ascii

    Lightning fast ASCII image generator

  • There are a bunch of 2ascii utils, no idea what the author used but https://github.com/alexvking/png2ascii

  • WorkOS

    The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

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  • peakperf

    Achieve peak performance on x86 CPUs and NVIDIA GPUs

  • Dr-Noob here. Created an account just to comment on this post. I appreciate all of your comments.

    For the ones who think that cpufetch uses lscpu (especially the one who wrote the title of this post), please see https://www.reddit.com/r/linux/comments/milnza/cpufetch_simp...

    About the peak performance, nezirus, the purpose is to have a quick look of how powerful a CPU is supposed to be. Peak performance does not measure the real performance of a CPU but it is a rough estimate of it. The peak performance is one of the distinguishing marks of cpufetch and is one of my favorite fields of cpufetch. Concerning the fight between Gold 6238 and EPYC 7702P, is not the other way around. If you are able to use the full power of the CPU, Gold is much more powerful. However, in a real program, this is not always true. For more information about the peak performance, see https://github.com/Dr-Noob/peakperf. There you will understand how peak performance is calculated and how it works.

    Thank you very much for your "text screenshots", I really like to see my program on all this variety of hardware!

  • x86info

    x86info : x86 processor register decoder.

  • duf

    Disk Usage/Free Utility - a better 'df' alternative

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    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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