pulldown-cmark
go
pulldown-cmark | go | |
---|---|---|
8 | 2,075 | |
1,930 | 119,718 | |
1.6% | 0.6% | |
9.0 | 10.0 | |
9 days ago | 1 day ago | |
Rust | Go | |
MIT License | BSD 3-clause "New" or "Revised" 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.
pulldown-cmark
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CryptoFlow: Building a secure and scalable system with Axum and SvelteKit - Part 3
As a platform that allows expressiveness, we want our users to be bold enough to ask and answer questions with either plain text or some markdowns. Compiling markdown to HTML in Rust can be done via the pulldown-cmark crate. We used it in this utility function:
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Building a high performance JSON parser
I also really like this paradigm. It’s just that in old crusty null-terminated C style this is really awkward because the input data must be copied or modified. But it’s not an issue when using slices (length and pointer). Unfortunately most of the C standard library and many operating system APIs expect that.
I’ve seen this referred to as a pull parser in a Rust library? (https://github.com/raphlinus/pulldown-cmark)
- Let Rust detect changes in the Markdown file and generate HTML.
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Show HN: A Graphviz Implementation in Rust
Really glad to see this! Really want an easy way to render graphs in Rust without resorting to the graphiz binary.
What is the current status? Not seeing it listed anywhere, like if there are features that are not supported or if it uses certain layout algorithms but others are desired.
Would you be willing to make a `[lib]` available? I see you have a `lib.rs` but it'd be great if using it didn't require pulling in `[[bin]]` dependencies (you can mark them as optional and mark `required-features` on your bin like pulldown-cmark does [0] or split it into a separate crate in a workspace). It'd also be good to find an available name for the lib and get it published (looks like someone might be squatting on `layout`).
[0] https://github.com/raphlinus/pulldown-cmark/blob/master/Carg...
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Using Rust with Elixir for code reuse and performance
Author here. I actually was not aware of cmark.ex - thanks for pointing it out.
In this case the code reuse was more important than pure native speed. We already had a Rust library that used pulldown-cmark [1] with some custom tweaks that we wanted to duplicate. Maybe this behavior could have been copied using cmark.ex too (we thought about doing this in pure Elixir, as mentioned in the post), but given how straightforward Rustler made integrating our existing code, this seems like the better choice.
[1] https://github.com/raphlinus/pulldown-cmark
It turned out that making the most popular Elixir Markdown processor, Earmark (originally written by Dave Thomas) and pulldown-cmark, a Rust Markdown processor, produce the same output was going to be difficult. We also required some customization that was not available in both libraries.
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What are some examples of particularly well written crates?
The crate that's closest to production quality code is pulldown-cmark, but I don't hold it up as an example of well-written code, because it's not particularly easy to understand and there's a lot of very low level code to consume the CommonMark syntax - that helps with code bloat and compile time, but not clarity.
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What are the Markdown features/extensions enabled in mdbook?
The Markdown processor is pulldown-cmark, which supports these extensions:
go
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Go: the future encoding/json/v2 module
A Discussion about including this package in Go as encoding/json/v2 has been started on the Go Github project on 2023-10-05. Please provide your feedback there.
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Evolving the Go Standard Library with math/rand/v2
I like the Principles section. Very measured and practical approach to releasing new stdlib packages. https://go.dev/blog/randv2#principles
The end of the post they mention that an encoding/json/v2 package is in the works: https://github.com/golang/go/discussions/63397
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Microsoft Maintains Go Fork for FIPS 140-2 Support
There used to be the GO FIPS branch :
https://github.com/golang/go/tree/dev.boringcrypto/misc/bori...
But it looks dead.
And it looks like https://github.com/golang-fips/go as well.
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Borgo is a statically typed language that compiles to Go
I'm not sure what exactly you mean by acknowledgement, but here are some counterexamples:
- A proposal for sum types by a Go team member: https://github.com/golang/go/issues/57644
- The community proposal with some comments from the Go team: https://github.com/golang/go/issues/19412
Here are some excerpts from the latest Go survey [1]:
- "The top responses in the closed-form were learning how to write Go effectively (15%) and the verbosity of error handling (13%)."
- "The most common response mentioned Go’s type system, and often asked specifically for enums, option types, or sum types in Go."
I think the problem is not the lack of will on the part of the Go team, but rather that these issues are not easy to fix in a way that fits the language and doesn't cause too many issues with backwards compatibility.
[1]: https://go.dev/blog/survey2024-h1-results
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AWS Serverless Diversity: Multi-Language Strategies for Optimal Solutions
Now, I’m not going to use C++ again; I left that chapter years ago, and it’s not going to happen. C++ isn’t memory safe and easy to use and would require extended time for developers to adapt. Rust is the new kid on the block, but I’ve heard mixed opinions about its developer experience, and there aren’t many libraries around it yet. LLRD is too new for my taste, but **Go** caught my attention.
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How to use Retrieval Augmented Generation (RAG) for Go applications
Generative AI development has been democratised, thanks to powerful Machine Learning models (specifically Large Language Models such as Claude, Meta's LLama 2, etc.) being exposed by managed platforms/services as API calls. This frees developers from the infrastructure concerns and lets them focus on the core business problems. This also means that developers are free to use the programming language best suited for their solution. Python has typically been the go-to language when it comes to AI/ML solutions, but there is more flexibility in this area. In this post you will see how to leverage the Go programming language to use Vector Databases and techniques such as Retrieval Augmented Generation (RAG) with langchaingo. If you are a Go developer who wants to how to build learn generative AI applications, you are in the right place!
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From Homemade HTTP Router to New ServeMux
net/http: add methods and path variables to ServeMux patterns Discussion about ServeMux enhancements
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Building a Playful File Locker with GoFr
Make sure you have Go installed https://go.dev/.
- Fastest way to get IPv4 address from string
- We now have crypto/rand back ends that ~never fail
What are some alternatives?
mdBook - Create book from markdown files. Like Gitbook but implemented in Rust
v - Simple, fast, safe, compiled language for developing maintainable software. Compiles itself in <1s with zero library dependencies. Supports automatic C => V translation. https://vlang.io
nimler - Erlang/Elixir NIFs in Nim
TinyGo - Go compiler for small places. Microcontrollers, WebAssembly (WASM/WASI), and command-line tools. Based on LLVM.
doctave - A batteries-included developer documentation site generator
zig - General-purpose programming language and toolchain for maintaining robust, optimal, and reusable software.
cmark - CommonMark parsing and rendering library and program in C
Nim - Nim is a statically typed compiled systems programming language. It combines successful concepts from mature languages like Python, Ada and Modula. Its design focuses on efficiency, expressiveness, and elegance (in that order of priority).
rust - Empowering everyone to build reliable and efficient software.
Angular - Deliver web apps with confidence 🚀
cmark - 💧 Elixir NIF for cmark (C), a parser library following the CommonMark spec, a compatible implementation of Markdown.
golang-developer-roadmap - Roadmap to becoming a Go developer in 2020