vdom-util
gnu-parallel
| vdom-util | gnu-parallel | |
|---|---|---|
| 2 | 22 | |
| 2 | 25 | |
| - | - | |
| 5.0 | 10.0 | |
| about 1 year ago | about 9 years ago | |
| JavaScript | Perl | |
| - | GNU General Public License v3.0 only |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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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.
vdom-util
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Modern SPAs without bundlers, CDNs, or Node.js
Joining this thread to say that I, too, have written a very similar function and also use jsxFactory to have JSX support in personal projects. I find that using it along with an extremely simple implementation of a kind of state listener[0] produces something really nice for small projects.
It's a bit like a jquery for the '20s.
[0] https://github.com/curlywurlycraig/vdom-util/blob/master/src...
- I don't miss React: a story about using the platform
gnu-parallel
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SQL query execution idea
You can use GNU Parallel (https://www.gnu.org/software/parallel/) to run command-line clients with all of those queries. You can set up the upper limit of simultaneous clients run, and this will automatically handle all possible parallelism.
- Parallel – shell tool for executing jobs in parallel using one or more computers
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Distcc: A fast, free distributed C/C++ compiler
Some other multi machine options that have worked well for me, well beyond just compilation of C/C++ on multiple machines with multiple cores.
1) set up passwordless, ssh.
and
2) use the gnu parallel. https://www.gnu.org/software/parallel/
gnu parallel is super flexible, very useful.
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Peplum: F/OSS distributed parallel computing and supercomputing at Home with Ruby infrastructure
How does this stack up againg GNU parallel? If you just wanna parallelize CLI work-loads (like nmap), parallel should be easier, I guess.
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Search in your Jupyter notebooks from the CLI, fast.
It requires jq for JSON processing and GNU parallel for concurrent searches in the notebooks.
- Is there a way to use all CPU cores while using RIBlast?
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Can cuda help me here?
Since you've got lots of images, you could use GNU Parallel to spread the job across multiple CPUs.
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5 great Perl scripts to keep in your sysadmin toolbox
Gnu parallel
- Is there an .deb package for installing GNU parallel?
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Modern SPAs without bundlers, CDNs, or Node.js
You could easily use something like GNU Parallel:
https://www.gnu.org/software/parallel/
What are some alternatives?
systemjs - Dynamic ES module loader
Parallel
preact-custom-element - Wrap your component up as a custom element
bazel-buildfarm - Bazel remote caching and execution service
yhtml - Tiny html tag function for rendering Web Component templates with event binding
lolcate-rs - Lolcate -- A comically fast way of indexing and querying your filesystem. Replaces locate / mlocate / updatedb. Written in Rust.
xidel - Command line tool to download and extract data from HTML/XML pages or JSON-APIs, using CSS, XPath 3.0, XQuery 3.0, JSONiq or pattern matching. It can also create new or transformed XML/HTML/JSON documents.
jc - CLI tool and python library that converts the output of popular command-line tools, file-types, and common strings to JSON, YAML, or Dictionaries. This allows piping of output to tools like jq and simplifying automation scripts.
ripgrep - ripgrep recursively searches directories for a regex pattern while respecting your gitignore
parallel - xargs for concurrent, distributed execution of shell commands
zsh-autosuggestions - Fish-like autosuggestions for zsh
tmux - tmux source code