pyparsing
retro-httpaf-bench
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pyparsing | retro-httpaf-bench | |
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13 | 6 | |
2,086 | 21 | |
1.7% | - | |
8.5 | 0.0 | |
26 days ago | about 2 months ago | |
Python | Jupyter Notebook | |
MIT License | - |
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.
pyparsing
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Pyparsing 3.1.0 released
After over a year since the last release of pyparsing, I've bundled up all the bug-fixes and changes, and they are now released as pyparsing 3.1.0. Visit this link for the details.
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Need help developing an interpreter
Look into "parser combinators" for building an interpreter. There's a few ones out there, but PyParsing is one I've seen around that looks pretty nifty.
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About a month ago I posted about PRegEx, an open-source project which I had started that you can use to build RegEx patterns programmatically, which the subreddit seem to like. This prompted me to keep working on it, and one month later, PRegEx v2.0.0 is out!
I havent found a way to specify an exact character match in pyparsing - https://github.com/pyparsing/pyparsing/discussions/443
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Python toolkits
STDOUT: Lark or pyparsing
- TatSu takes grammars in variation of EBNF, outputs memoizing Python PEG parsers
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Parser Combinators in Haskell
Since it is not mentioned in the article: Python users may also want to check out pyparsing [0]. It is slightly different from Parsec/FParsec (for instance, it ignores all whitespace by default), but I think it is a really good project.
[0]: https://github.com/pyparsing/pyparsing/
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Pyparsing 3.0.x - off to a rocky start, but I think 3.0.6 looks fairly solid
Here is the page of all the new changes and features in pyparsing 3.0.
- luna is a Domain specific language that translates to regex. It's an attempt to make regex more readable.
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Recommended way to read and parse a couple thousand small files
Your pyparsing parser might benefit from a tune-up. This page has some performance tips: https://github.com/pyparsing/pyparsing/wiki/Performance-Tips.
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Script for extracting info from a SQL File
If your SQL has fairly complex structure, you will need a full blown SQL parser. If your statements are mostly simple select, you can get pretty close with Pyparsing, here is an example.
retro-httpaf-bench
- Parser Combinators in Haskell
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Ask HN: Alternatives to Rust Programming Language
I do. The benchmark results itself is here: https://aws1.discourse-cdn.com/standard11/uploads/ocaml/opti.... This comes from the OCaml multicore monthly news, the october 2021 edition: https://discuss.ocaml.org/t/multicore-ocaml-october-2021/882.... The benchmark's repo is here: https://github.com/ocaml-multicore/retro-httpaf-bench. However that image is not the whole story, and there's a bit more info here: https://watch.ocaml.org/videos/watch/74ece0a8-380f-4e2a-bef5.... In that video, the author says that the result vary depending on the load (sometimes Rust Hyper can end up above OCaml httpaf eio), that OCaml currently uses an io-uring backend while Rust doesn't, and that the results are for single core as previous OCaml implementations are single-core themselves.
I do feel that this benchmark is incomplete. I'd like it to see the results while using all of the cores of a machine, and I'd like to see different type of loads. I do think that the results are impressive: performance between Go and Rust is great. I do hope that it stays this way with multicore.
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Adapting the OCaml Ecosystem for Multicore OCaml
We don't compare against Go pervasively. Benchmarking across languages is hard generally, but here is a result on a specific benchmark comparing several versions of OCaml benchmarks against Go and Rust on a Http server benchmark: https://github.com/ocaml-multicore/retro-httpaf-bench/pull/1....
If there are suggestions to make the Go and Rust versions, please feel free to tell us how in the issue tracker.
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I don't see a future for Go. It's big within the kubernetes world right now but it will slowly be replaced by Rust.
multicore already faster than Go
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Functional Programming in OCaml
Multicore is coming along, you can read the latest news here: https://discuss.ocaml.org/t/multicore-ocaml-june-2021/8134
In terms of performance, there is this paper https://kcsrk.info/papers/system_effects_feb_18.pdf where on a single core async OCaml and effect OCaml are close to Go's net/http, and there is also this project https://github.com/ocaml-multicore/retro-httpaf-bench but I haven't see any results from it.
What are some alternatives?
parsita - The easiest way to parse text in Python
assert-combinators - Functional assertion combinators.
attoparsec - A fast Haskell library for parsing ByteStrings
parser - String parser combinators
codeworld - Educational computer programming environment using Haskell
iregex - A way to write regex with objects instead of strings.
angstrom - Parser combinators built for speed and memory efficiency
httpaf - A high performance, memory efficient, and scalable web server written in OCaml
sly - Sly Lex Yacc
ocaml-h2 - An HTTP/2 implementation written in pure OCaml