ML-auto-baseball-pitching-overlay VS wcp

Compare ML-auto-baseball-pitching-overlay vs wcp and see what are their differences.

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ML-auto-baseball-pitching-overlay wcp
9 3
267 191
- -
2.7 0.0
14 days ago almost 3 years ago
Python C
- 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.

ML-auto-baseball-pitching-overlay

Posts with mentions or reviews of ML-auto-baseball-pitching-overlay. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-01-23.

wcp

Posts with mentions or reviews of wcp. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-06-15.
  • Show HN: fcp – A significantly faster alternative to cp(1), written in Rust
    3 projects | news.ycombinator.com | 15 Jun 2021
    Not a question, but I made a similar tool in c++[1], for Linux only using io_uring, and a blog post explaining its internals [2]. I'll definitely have a look some time soon, I'd be interested to see how performance compares (I gathered from some other comments here that you're using blocking io in threads?)

    1: https://github.com/wheybags/wcp

  • Show HN: Wcp – a reimplementation of cp using io_uring. With a nice progress bar
    2 projects | news.ycombinator.com | 7 Mar 2021
    The chart is over NFS, but the listed speeds in the blog, and on github[1] are from a copy on a local SSD. That is a bit confusing though, maybe I should make it more clear. I used the network copy for ETA calculation because it was an easy way to make the transfer take longer -.if the whole copy is only a few seconds long it's difficult to meaningfully compare ETA estimation accuracy between two approaches. I would like to have more performance data though.

    1: https://github.com/wheybags/wcp/#how-fast

  • Ask HN: Show me your Half Baked project
    154 projects | news.ycombinator.com | 9 Jan 2021
    Unix cp, but with a proper progress bar, and much faster:

    https://github.com/wheybags/wcp

    Getting close now but not ready for real use. io_uring is awesome.

What are some alternatives?

When comparing ML-auto-baseball-pitching-overlay and wcp you can also consider the following projects:

opencv_py

pcopy - pcopy is a temporary file host, nopaste and clipboard across machines. It can be used from the Web UI, via a CLI or without a client by using curl.

Hitrava - Convert your Huawei Health sport activities and import them in Strava.

dupver - Deduplicating VCS for large binary files in Go

json-tail

morphy - A simple static site generator

AI-basketball-analysis - :basketball::robot::basketball: AI web app and API to analyze basketball shots and shooting pose.

abs_cd - CI/CD for the Arch build system with webinterface.

ping-heatmap - A tool for displaying subsecond offset heatmaps of ICMP ping latency

xact - Model based design for developers

hacn - A "monad" or DSL for creating React components using Fable and F# computation expressions