core
nimpy
core | nimpy | |
---|---|---|
18 | 38 | |
1,494 | 1,416 | |
1.0% | - | |
9.3 | 5.8 | |
22 days ago | 3 months ago | |
C | Nim | |
Apache License 2.0 | 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.
core
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Show HN: Pip Imports in Deno
An alternative is metacall. The example in the readme is about calling Python from Javascript, but it also works with other languages, like Ruby, C#, Java, and other languages
https://github.com/metacall/core
List of supported languages here https://github.com/metacall/core/blob/develop/docs/README.md...
In the future, maybe webidl (or extensions of it) will bring interoperability between languages too. At the moment there is https://mozilla.github.io/uniffi-rs/ for interoperability between Rust and a number of languages (basically the ones mozilla needs: Swift, Kotlin, Javascript)
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Python frontend with Zig backend
Hi, I am writing a Polyglot Runtime called MetaCall, it provides interoperability between many different languages: https://github.com/metacall/core
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Closer look at Metacall
MetaCall is an extensible, embeddable and interoperable cross-platform polyglot runtime. It supports NodeJS, Vanilla JavaScript, TypeScript, Python, Ruby, C#, Java, WASM, Go, C, C++, Rust, D, Cobol.
- Make polyglot programs easily and deploy them in few clicks through its FaaS
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Google Summer of Code with GNOME Foundation.
I started looking for past selected organizations in February, found an organization named Metacall, which made polyglot programming easy. I made some contributions there. I looked into their past projects and tried to understand how the code base worked. The tech stack was mainly Python, C++, Rust, Nodejs, Docker. I knew very little about these.
- MetaCall: The Polyglot Programming Experience
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Gitpodify the MetaCall
MetaCall helps you build serverless applications using a more fine-grained, scalable and NoOps oriented Function Mesh instead of ServiceMesh and DevOps approach. It automagically converts your code into a Function Mesh and auto-scales individual hot parts or functions of your app.
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Ideas for Intermediate or Advanced Rust Projets?
We are building a Polyglot Runtime and we are adding support for Rust, if you are interested you can participate on it: https://github.com/metacall/core
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Make & Deploy Doxygen
MetaCall Polyglot Runtime MetaCall.io | Install | Docs
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Ask HN: Solo-preneurs, how do you DevOps to save time?
I try to avoid any complicated tool and simplify my life with NoOps tools. Using Kubernetes or AWS from scratch is probably going to kill your startup.
In my case, I have tried MetaCall: https://metacall.io
nimpy
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Mojo is now available on Mac
I mean honestly, the closest language to Mojo really is Nim. In the latest Lex Fridman interview [0] when he talks about his ideas behind Mojo it pretty much sounds like he's describing Nim. Ok fair, he wants Mojo to be a full superset of Python, but honestly with nimpy [1] our Python interop is about as seamless as it can really be (without being a superset, which Mojo clearly is not yet). Even the syntax of Mojo looks a damn lot like Nim imo. Anyway, I guess he has the ability to raise enough funds to hire enough people to write his own language within ~2 years so as not have to follow random peoples whim about where to take the language. So I guess I can't blame him. But as someone who's pretty invested in the Nim community it's quite a shame to see such a hyped language receive so much attention by people who should really check out Nim. ¯\_(ツ)_/¯
[0]: https://youtu.be/pdJQ8iVTwj8?si=LfPSNDq8UKKIsJd3
[1]: https://github.com/yglukhov/nimpy
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Show HN: Pip Imports in Deno
You can also do this in Nim, which basically means you can write any program you could in Python with libraries in Nim. https://github.com/yglukhov/nimpy
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Nim v2.0 Released
Ones that have not been mentioned so far:
nlvm is an unofficial LLVM backend: https://github.com/arnetheduck/nlvm
npeg lets you write PEGs inline in almost normal PEG notation: https://github.com/zevv/npeg
futhark provides for much more automatic C interop: https://github.com/PMunch/futhark
nimpy allows calling Python code from Nim and vice versa: https://github.com/yglukhov/nimpy
questionable provides a lot of syntax sugar surrounding Option/Result types: https://github.com/codex-storage/questionable
ratel is a framework for embedded programming: https://github.com/PMunch/ratel
cps allows arbitrary procedure rewriting to continuation passing style: https://github.com/nim-works/cps
chronos is an alternative async/await backend: https://github.com/status-im/nim-chronos
zero-functional fixes some inefficiencies when chaining list operations: https://github.com/zero-functional/zero-functional
owlkettle is a declarative macro-oriented library for GTK: https://github.com/can-lehmann/owlkettle
A longer list can be found at https://github.com/ringabout/awesome-nim.
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Prospects of utilising Nim in scientific computation?
I use Python daily for its massive momentum for scientific stuff, but I also use Nim for everything else. Nim compiles to C, and making Python native modules with Nim is easy with Nimpy.
- Can't run compiled nim code in Python
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Returning to Nim from Python and Rust
If are a data scientist and come from python take a look at nimpy, a great way to just import python libraries and use them! https://github.com/yglukhov/nimpy Numpy, pandas, pytorch all usable in Nim.
Nim is the ultimate glue language, use libraries from anything: python, c, js, objc.
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Python's “Disappointing” Superpowers
I've come to really enjoy programming in Nim. Note that Nim is very different language despite sharing a similar syntax. However, I feel it keeps a lot of the "feel" of Python 2 days of being a fairly simple neat language but that lets you do things at compile time (like compile time duck typing).
There's a good Python -> Nim bridge: https://github.com/yglukhov/nimpy
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Dunder methods in nimpy
See this nimpy issue about it: https://github.com/yglukhov/nimpy/issues/43
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What language to move to from python to speed up algo?
It has pretty good integration with python, either for having your main code in python and writing small hot functions as nim and importing via nimporter or using python libraries in nim via nimpy.
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ABI compatibility in Python: How hard could it be?
Related: Nimpy[0] provides an easy way to write Python extensions in Nim, which manages the ABI side very well.
Python 2 is now gone, but until it was, Nimpy was an easy way to write Python extension modules that only needed to be compiled once, and would work with any of your installed Python 2 and Python 3. Magic.
[0] https://github.com/yglukhov/nimpy
What are some alternatives?
goja - ECMAScript/JavaScript engine in pure Go
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).
go-python - naive go bindings to the CPython2 C-API
Box - Python dictionaries with advanced dot notation access
go-php - PHP bindings for the Go programming language (Golang)
nimporter - Compile Nim Extensions for Python On Import!
cel-go - Fast, portable, non-Turing complete expression evaluation with gradual typing (Go)
scinim - The core types and functions of the SciNim ecosystem
golua - Go bindings for Lua C API - in progress
nimpylib - Some python standard library functions ported to Nim
anko - Scriptable interpreter written in golang
nimskull - An in development statically typed systems programming language; with sustainability at its core. We, the community of users, maintain it.