JSMN
go
JSMN | go | |
---|---|---|
14 | 2,071 | |
3,553 | 119,564 | |
- | 1.2% | |
0.0 | 10.0 | |
about 2 months ago | 7 days ago | |
C | 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.
JSMN
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Building a high performance JSON parser
Like how https://github.com/zserge/jsmn works. I thought it would be neat to have such as parser for https://github.com/vshymanskyy/muon
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Flattening ASTs (and Other Compiler Data Structures)
One more JSON implementation using this approach is https://github.com/zserge/jsmn.
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Show HN: WinGPT, AI Assistant for Windows 3.1
Yep! I'm using JSMN (https://github.com/zserge/jsmn), which is a streaming parser that visits each token sequentially, so there's only one copy of each JSON response in memory. I also avoid allocating new intermediate memory whenever possible; for example, to unescape backslashes in the JSON strings, I use a destructive loop that moves the non-backslash characters forward in memory, and truncates the string by moving the null terminator earlier in the string. Not something I'd imagine doing in most environments today, but as you said, it saves a bit of space at the expense of CPU time :)
void DestructivelyUnescapeStr(LPSTR lpInput) {
- A good C library to parse json data
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Lightweight data serialization/deserialization format
After reviewing several options, I’ve settled on plain old JSON. For parsing, I use https://github.com/zserge/jsmn. For serialization I use https://github.com/rdpoor/jems (disclaimer: I wrote the latter, but others use it as well).
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jemi: a compact JSON serializer for embedded systems
As mentioned here, it appears that tiny-json is a parser, not a serializer. If you're looking for parsers, I've been very happy with jsmn.
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What is the proper way to store a RFC3339 date string?
Very small, 4-5 fields but I'm still going to write in binary because I'm trying to reduce dependencies and https://github.com/zserge/jsmn looks like good fit but jsmn only does parsing which I need for parsing some Oauth json data and config.json file. I will be able to dump the state struct in a state.bin file and read it later for comparing it with system time. Not having to write in text fits well for this particular use case. Benefits: Reduced dependencies and almost cost less decoding of the state struct(which the user will never see).
- Jsmn: A minimalistic JSON parser in C
- CJSON – Ultralightweight JSON parser in ANSI C
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A tiny zero-allocation JSON serializer compatible with C89!
This is my very straight-forward implementation that came to be from the lack of JSON encoding in jsmn:
go
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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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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
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Why Go is great choice for Software engineering.
The Go Programming Language
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OpenBSD 7.5 Released
When Go first shipped, it was already well-documented that the only stable ABI on some platforms was via dynamic libraries (such as libc) provided by said platforms. Go knowingly and deliberately ignored this on the assumption that they can get away with it. And then this happened:
https://github.com/golang/go/issues/16606
If that's not "getting burned", I don't know what is. "Trying to provide a nice feature" is an excuse, and it can be argued that it is a valid one, but nevertheless they knew that they were using an unstable ABI that could be pulled out from under them at any moment, and decided that it's worth the risk. I don't see what that has to do with "not being as broadly compatible as they had hoped", since it was all known well in advance.
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Go's Error Handling Is Perfect
Sadly, I think that is indeed radically different from Go’s design. Go lacks anything like sum types, and proposals to add them to the language have revealed deep issues that have stalled any development. See https://github.com/golang/go/issues/57644
What are some alternatives?
cJSON - Ultralightweight JSON parser in ANSI C
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
json-c - https://github.com/json-c/json-c is the official code repository for json-c. See the wiki for release tarballs for download. API docs at http://json-c.github.io/json-c/
TinyGo - Go compiler for small places. Microcontrollers, WebAssembly (WASM/WASI), and command-line tools. Based on LLVM.
Jansson - C library for encoding, decoding and manipulating JSON data
zig - General-purpose programming language and toolchain for maintaining robust, optimal, and reusable software.
RapidJSON - A fast JSON parser/generator for C++ with both SAX/DOM style API
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).
ArduinoJson - 📟 JSON library for Arduino and embedded C++. Simple and efficient.
Angular - Deliver web apps with confidence 🚀
json - JSON for Modern C++
golang-developer-roadmap - Roadmap to becoming a Go developer in 2020