grmtools
nom
grmtools | nom | |
---|---|---|
2 | 85 | |
473 | 9,054 | |
2.1% | 1.2% | |
7.7 | 7.4 | |
12 days ago | 3 days ago | |
Rust | Rust | |
GNU General Public License v3.0 or later | 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.
grmtools
- Grmtools – Grammar and Parsing Libraries for Rust
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A Deep Dive into PromQL — Promql Parser v0.1.0 Written in Rust is Now Available
prometheus-parser-rs implement the parser via pest, while promql-parser using grmtools, which is compatible with Yacc. promql-parser declares compatible with prometheus and covers most of the test cases in original Prometheus, which ensures you better compliance.
nom
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Planespotting with Rust: using nom to parse ADS-B messages
Just in case you are not familiar with nom, it is a parser combinator written in Rust. The most basic thing you can do with it is import one of its parsing functions, give it some byte or string input and then get a Result as output with the parsed value and the rest of the input or an error if the parser failed. tag for example is used to recognize literal character/byte sequences.
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Show HN: Rust nom parsing Starcraft2 Replays into Arrow for Polars data analysis
I may be the only one not familiar, but nom refers to https://github.com/rust-bakery/nom which looks like a pretty handy way to parse binary data in Rust.
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Is this a good way to free up some memory?
Lots of people use nom for their parsing needs, but that's not the only game in town and there other options.
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What is the state of the art for creating domain-specific languages (DSLs) with Rust?
As much as I love nom as well as other parser combinator libraries, regex-based parsers, BNF/EBNF-based parsers, etc. I always end up going back to plain old text-based char-by-char scanners.
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What's everyone working on this week (22/2023)?
I am using nom / nom_locate to build the parser side because I've done a handful of other projects with it, and I plan to use tower-lsp to hook up the language server side.
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Tokenizing
Look into a parsing library such as https://github.com/rust-bakery/nom
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Something like pydantic but for just strings?
If we were in /r/learnrust I'd have recommended the nom crate for this.
- Nom: Parser Combinators Library in Rust
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lua bytecode parser written in rust
Thanks to the flexibility of [nom](https://github.com/rust-bakery/nom), it is very easy to write your own parser in rust, read [this article](https://github.com/metaworm/luac-parser-rs/wiki/Write-custom-luac-parser) to learn how to write a luac parser
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Should I revisit my choice to use nom?
I've been working on an assembler and right now it uses nom. While nom isn't great for error messages, good error messages will be important for this particular assembler (current code), so I've been attempting to use the methods described by Eyal Kalderon in Error recovery with parser combinators (using nom).
What are some alternatives?
c-compiler - A compiler that accepts any valid program written in C. It is made using Lex and Yacc. Returns a symbol table, parse tree, annotated syntax tree and intermediate code.
pest - The Elegant Parser
promql-parser - PromQL Rust parser
lalrpop - LR(1) parser generator for Rust
prometheus-parser-rs - a Rust library for parsing and validating Prometheus query expressions
combine - A parser combinator library for Rust
parsertl-playground - A web based playground for parsertl/lexertl
pom - PEG parser combinators using operator overloading without macros.
kalem.rs - Fegeya Kalem.rs, Rust implementation of Kalem, work-in-progress.
rust-peg - Parsing Expression Grammar (PEG) parser generator for Rust
greptimedb - An open-source, cloud-native, distributed time-series database with PromQL/SQL/Python supported. Available on GreptimeCloud.
chumsky - Write expressive, high-performance parsers with ease.