wazero
go
wazero | go | |
---|---|---|
52 | 2,075 | |
4,550 | 119,718 | |
1.6% | 0.6% | |
9.8 | 10.0 | |
9 days ago | 1 day ago | |
Go | Go | |
Apache License 2.0 | 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.
wazero
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Wazero: The zero dependency WebAssembly runtime
https://github.com/tetratelabs/wazero/releases/tag/v1.7.0
This includes the final release of the new optimizing compiler, which is a big improvement over the previous one.
The new version also adds experimental support for threads and snapshot/restore (setjmp/longjmp).
This is already being used by go-pgquery, all will mean that sqlc won't need to ship to almost copies of wazero (these features had been implemented on a friendly fork, and have now been up-streamed).
- Wazero v1.6.0
- Show HN: My Go SQLite driver did poorly on a benchmark, so I fixed it
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Making Games in Go for Absolute Beginners
> Go actually has one of the best WASM runtimes https://github.com/tetratelabs/wazero
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WASM by Example
Wazero looks super cool. I saw somewhere that programs can be run with a timeout, which sounds great for sandboxing. The program input is just a slice of bytes [1], so an interesting use case would be to use something like Nats [2] to distribute programs to different servers. Super simple distributed computing!
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1: https://github.com/tetratelabs/wazero/blob/main/examples/bas...
2: https://natsbyexample.com/examples/messaging/pub-sub/go
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Show HN: Sqinn-Go is a Golang library for accessing SQLite databases in pure Go
It is slower.
The WASM runtime wazero [1] uses a compiler on amd64 and arm64 (on Linux, macOS, Windows, and FreeBSD), but the current compiler is very fast (at compiling), but very naive (generates less than optimal code).
An optimizing compiler is currently being developed, and should be released in the coming months. I'm optimistic that this compiler will cover the performance gap between WASM and modernc.
[1]: https://wazero.io
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Jacobin: Minimal JVM written in Go and capable of running Java 17 classes
I am a fan of the Jacobin project! For your uses, you may also want to consider wazero [1], a pure-go WebAssembly runtime. Full disclosure: I am on the team :)
[1]: https://wazero.io/
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Val, a high-level systems programming language
No longer does Wasm/WASI need JS host! There are many spec-compliant runtimes built for environments from tiny embedded systems up to beefy arm/x86 racks:
- https://github.com/bytecodealliance/wasm-micro-runtime
- https://github.com/bytecodealliance/wasmtime
- https://github.com/wasmerio/wasmer
- https://github.com/tetratelabs/wazero
- https://github.com/extism/extism (disclaimer, my company's project - makes wasm easily embeddable into 16+ programming languages!)
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WebAssembly and Replayable Functions
full disclosure: I don't work on it, but the devs are committers/contributors to https://wazero.io (I am a wazero committer) :)
- Wazero: Zero dependency WebAssembly runtime written in Go
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?
wasmer - 🚀 The leading Wasm Runtime supporting WASIX, WASI and Emscripten
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
wasmtime - A fast and secure runtime for WebAssembly
TinyGo - Go compiler for small places. Microcontrollers, WebAssembly (WASM/WASI), and command-line tools. Based on LLVM.
wasmer-go - 🐹🕸️ WebAssembly runtime for Go
zig - General-purpose programming language and toolchain for maintaining robust, optimal, and reusable software.
grule-rule-engine - Rule engine implementation in Golang
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).
yaegi - Yaegi is Another Elegant Go Interpreter
Angular - Deliver web apps with confidence 🚀
gc - Branch of the spec repo scoped to discussion of GC integration in WebAssembly
golang-developer-roadmap - Roadmap to becoming a Go developer in 2020