| wcp | xact | |
|---|---|---|
| 3 | 2 | |
| 191 | 1 | |
| - | - | |
| 0.0 | 0.0 | |
| almost 3 years ago | almost 3 years ago | |
| C | Python | |
| MIT License | GNU Affero General Public License v3.0 |
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.
wcp
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Show HN: fcp – A significantly faster alternative to cp(1), written in Rust
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
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Show HN: Wcp – a reimplementation of cp using io_uring. With a nice progress bar
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
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Ask HN: Show me your Half Baked project
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.
xact
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Ask HN: Show me your Half Baked project
https://github.com/wtpayne/xact - Model Based Systems/Software Engineering tool with support for machine learning and synthetic data.
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Ask HN: Does Your Company Practice Model Based Systems Engineering? (MBSE)
MBSE is a vastly underappreciated technique, and one that deserves much more exposure in the mainstream tech community.
Sadly, I have found myself exceedingly disappointed at the tooling available to support MBSE, having mainly used Simulink, and also experimented with a few others like Rhapsody, Capella and EA.
Constant mouse usage with Simulink gave me really bad RSI, and merging models was a pain, due to the way that layout and structural information were mixed together in the xml-based .mdl file format.
So (naturally) I made a text-based alternative. It's a bit like TensorFlow in that you create a compute graph (computational model), and then run it.
The model itself can be generated dynamically in a script, using JQuery-like syntax to add or change nodes, or alternatively it can be stored and version controlled in one or more text files, using YAML, XML, JSON or TOML (or some mixture of those) to serialise the structure in an easy-to-diff-and-merge form.
https://github.com/wtpayne/xact
What are some alternatives?
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.
pegao - Pegao is a community about lists of links on topics of interest.
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UsTaxes - Tax filing web application
morphy - A simple static site generator
tinyjam - A radically simple, zero-configuration static site generator in JavaScript
abs_cd - CI/CD for the Arch build system with webinterface.
pgsink - Logically replicate data out of Postgres into sinks (files, Google BigQuery, etc)
ML-auto-baseball-pitching-overlay - ⚾🤖⚾ Automatic baseball pitching overlay in realtime
jarvis - An AI sidekick that helps you control your computer.
hacn - A "monad" or DSL for creating React components using Fable and F# computation expressions
langmap - A complete map of all the languages and their dependencies