atty
scc
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atty
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Handle piped output from other command
That said, there's a recent question about maintenance status and a fork with some changes, so you could switch to that if you're worried.
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Ways to detect where a STDOUT was piped or not
Maybe start with the atty crate? Ultimately this is an OS question more than a Rust question, and it depends on what you mean by "any stdout was piped". For example, do you want to be able to tell the difference between
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Modern alternatives to Unix commands
That likely only works on a Windows console. For tools like this, you also want to handle cygwin, and that requires crazy hacks: https://github.com/softprops/atty/blob/7b5df17888997d57c2c1c8f91da1db5691f49953/src/lib.rs#L116-L154
scc
- Scc: A fast code counter with complexity calculations and COCOMO estimates
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Essential Command Line Tools for Developers
View on GitHub
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Ask HN: Programs that saved you 100 hours? (2022 edition)
Going to say my own https://github.com/boyter/scc/ which I have used to turn down projects of "Oh we just need to do X"
It allows me to evaluate the code-base quickly and see where potential issues are, and find hidden complexity in the code. I have said no a lot due to it. The only reason it exists was because I got caught out from another project, which wasted months of my time.
Otherwise IntelliJ and the JetBrains IDE's in general.
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Building a custom code search index in Go for searchcode.com
Very cool to see this here, Ben! It was fun beating the ins and outs of your work on this in the TZ discord.
Also, off-topic but as you know, I recently tried out your scc tool and am eagerly awaiting its support for Elixir templates (.eex, .heex)!
https://github.com/boyter/scc
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[media] Onefetch v2.13 is typically 2x faster and now supports ~100 programming languages
I believe tokei is the best rust option as of now, but despite my burning passion for rust I've switched to using scc instead as I find it faster and more convenient. Not really an option for you if you're trying to bake line counting into the binary, obviously.
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Incremental Parsing in Go
I've seen some real world example where Go was as fast or faster than Rust for CPU / io intensive task.
Go is a fast language even with a GC.
https://github.com/boyter/scc/#performance
- Goal: Pass all 4259065 tests in sqllogictest in 1 week
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Large project uses Rust backend. My backend developer left. How hard is it for me to learn Rust and take over for him.
I don't trust your qualitative "LARGE" for the project. I would recommend you pass your project through something like a software metrics tool https://github.com/boyter/scc to better measure what you're up against in terms of Flutter/Dart AND Rust code base.
- A fast accurate code counter with complexity calculations and COCOMO estimates
- Fd: A simple, fast and user-friendly alternative to 'find'
What are some alternatives?
rust-memchr - Optimized string search routines for Rust.
cloc - cloc counts blank lines, comment lines, and physical lines of source code in many programming languages.
Scoop - A command-line installer for Windows.
tokei-pie - Render tokei's output to interactive sunburst chart.
miller - Miller is like awk, sed, cut, join, and sort for name-indexed data such as CSV, TSV, and tabular JSON
croc - Easily and securely send things from one computer to another :crocodile: :package:
shiplift - 🐳 🦀 rust interface for maneuvering docker containers
Seaweed File System - SeaweedFS is a fast distributed storage system for blobs, objects, files, and data lake, for billions of files! Blob store has O(1) disk seek, cloud tiering. Filer supports Cloud Drive, cross-DC active-active replication, Kubernetes, POSIX FUSE mount, S3 API, S3 Gateway, Hadoop, WebDAV, encryption, Erasure Coding. [Moved to: https://github.com/seaweedfs/seaweedfs]
modern-unix - A collection of modern/faster/saner alternatives to common unix commands.
Hugo - The world’s fastest framework for building websites.
fzf.vim - fzf :heart: vim
Gor - GoReplay is an open-source tool for capturing and replaying live HTTP traffic into a test environment in order to continuously test your system with real data. It can be used to increase confidence in code deployments, configuration changes and infrastructure changes.