rcl
related_post_gen
rcl | related_post_gen | |
---|---|---|
4 | 15 | |
135 | 279 | |
- | - | |
9.9 | 9.9 | |
17 days ago | 2 months ago | |
Rust | C++ | |
Apache License 2.0 | MIT License |
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rcl
- How to Use JSON Path
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HCL: Toolkit for Structured Configuration Languages
Frustration with HCL is why I wrote RCL (it now has a website, https://rcl-lang.org). It can generate HCL's json form for use with Terraform, and it has functions and sensible list comprehensions.
- RCL: A Reasonable Configuration Language
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Jaq – A jq clone focused on correctness, speed, and simplicity
I have that same problem, the advanced features I use too little to remember. Then I started working on a configuration language that should have a non-surprising syntax (json superset, mostly inspired by Python, Rust, Nix). And it turns out, this works well as a query language for querying json documents. https://github.com/ruuda/rcl Here is an example use case: https://fosstodon.org/@ruuda/111120049523534027
related_post_gen
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Speed up your code: don't pass structs bigger than 16 bytes on AMD64
Looks like the HO means hand optimized, with special datastructures for this benchmark.
see: https://github.com/jinyus/related_post_gen/#user-content-fn-...
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Benchmarking 20 programming languages on N-queens and matrix multiplication
There is one for data processing here: https://github.com/jinyus/related_post_gen
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The Neat Programming Language
Is it ready for benchmarking? D currently sits at the top of https://github.com/jinyus/related_post_gen and it would be interesting to see how neat stacks up.
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Murder is a pixel art ECS game engine in C#
[2] https://github.com/jinyus/related_post_gen#multicore-results
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Jaq – A jq clone focused on correctness, speed, and simplicity
I think my benchmark[1] would be a great test for this. The jq[2] version takes 50s on my machine.
[1] : https://github.com/jinyus/related_post_gen
[2]: https://github.com/jinyus/related_post_gen/blob/main/jq/rela...
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Gleam vs Erlang vs Go vs Zig vs Rust for data processing
I added gleam to my data processing benchmark and the performance is less than stellar...so I hope someone here can make suggestions to improve it.
- jinyus/related_post_gen: Data Processing benchmark featuring Rust, Go, Swift, Zig, Julia etc.
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Ask HN: What's the big deal with Go (Golang)?
Easy concurrency.
ps: I wrote a data processing benchmark[1] and go is currently leading the charts. I ported it to c++ but it's not performing as expected. Take a look if you have the time.
[1]: https://github.com/jinyus/related_post_gen
- Julia leads Rust,Zig,Go and Java in data processing benchmark
- Julia Ranks First in Data Processing Microbenchmark
What are some alternatives?
gojq - Pure Go implementation of jq
uiua - A stack-based array programming language
fx - Terminal JSON viewer & processor
pspy - Monitor linux processes without root permissions
yq - Command-line YAML, XML, TOML processor - jq wrapper for YAML/XML/TOML documents
ivy - ivy, an APL-like calculator
jql - A JSON Query Language CLI tool
BQN - An APL-like programming language. Self-hosted!
jaq - A jq clone focussed on correctness, speed, and simplicity
cognate - A human readable quasi-concatenative programming language
fastgron - High-performance JSON to GRON (greppable, flattened JSON) converter
Saxon-HE - Saxon-HE open source repository