clerk
gleam
clerk | gleam | |
---|---|---|
22 | 96 | |
1,697 | 15,033 | |
0.8% | 5.1% | |
8.5 | 9.9 | |
9 days ago | 5 days ago | |
Clojure | Rust | |
ISC License | Apache License 2.0 |
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.
clerk
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The Current State of Clojure's Machine Learning Ecosystem
Something I really like in the Clojure data science stack that isn't mentioned is Clerk* — an interesting take on notebooks. I think it's a good gateway into Clojure for those coming from a Python or R background.
*https://clerk.vision/
- Improve Jupyter Notebook Reruns by Caching Cells
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Critique of Lazy Sequences in Clojure
Clojure's lazy sequences by default are wonderful ergonomically, but it provides many ways to use strict evaluation if you want to. They aren't really a hassle either. I've been doing Clojure for the last few years and have a few grievances, but overall it's the most coherent, well thought out language I've used and I can't recommend it enough.
There is the issue of startup time with the JVM, but you can also do AOT compilation now so that really isn't a problem. Here are some other cool projects to look at if you're interested:
Malli: https://github.com/metosin/malli
Babashka: https://github.com/babashka/babashka
Clerk: https://github.com/nextjournal/clerk
- Moldable Live Programming for Clojure
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Morse, an open-source interactive tool for inspecting Clojure
I'm really enjoying using Clojure with Clerk: https://github.com/nextjournal/clerk
It's a bit like a Jupyter notebook, but you get to use your own editor, you still have a normal Clojure REPL, it's stored in git like "normal" code, etc.
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Adding Clerk to a Leiningen Project
Hey all, I'm new to Clojure and would appreciate your help with a few questions I had getting started. I'm using Leiningen to setup my projects and manage my packages as recommended in Brave & True. So far I've been able to add any dependencies I've needed without much issue, Neanderthal, tech.v3.dataset, etc. I'm interested in data science, and was hoping to set up a notebook environment to be able to quickly produce data visualizations on the fly since I'm used to working with Jupyter. I came across Clerk, but I'm having some trouble adding it to my project. Here's what I tried:
- Clojure Turns 15 panel discussion video
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The program is the database is the interface
Clojure also has Clerk, which is like Jupyter, but more befitting Clojure's overall philosophy: https://clerk.vision/
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Clojure conventions for writing complicated mathematical calculations?
If I were working long enough with gnarly enough equations I'd look into using Clerk to visualize the equations with MathJax or similar, probably following Sam Ritchie's footsteps with SICMUtils. To me this is the true readability answer: lisp notation for precise implementations, compiling to a rich & familiar visual representation.
gleam
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Borgo is a statically typed language that compiles to Go
I haven't had time to really try to write anything in it, but https://gleam.run/ looks really good too. Like Elm for backend + frontend!
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Release Radar • March 2024 Edition
Want a friendly language for building safe systems at scale? Gleam is here for you. It features modern and familiar syntax, that's reliable and scalable. Gleam runs on an Erlang virtual machine, and can run plenty of concurrent tasks. It comes with a compiler, build tool, formatter, editor integrations, and package manager all built in so you can get started right away. Congrats to the team on shipping your first major version 🙌.
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The Current State of Clojure's Machine Learning Ecosystem
While I love Clojure, I have to agree about tooling. I recently started using Gleam* and was impressed at how easy it was to get up and running with the CLI tool. I think this is an important part of getting people to adopt a language.
* https://gleam.run/
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Show HN: I open-sourced the in-memory PostgreSQL I built at work for E2E tests
If you use languages that compile to WASM (such as Gleam https://gleam.run), and can also run Postgres via WASM, then it opens very interesting offline scenarios with codebases which are similar on both the client and the server, for instance.
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Why the number of Gleam programmers is growing so fast?
Recently, Gleam has gained more popularity, and a lot of developers (including me) are learning it. At the time of this writing, it has exceeded 14k stars on GitHub; it grew really fast for the last month.
- Cranelift code generation comes to Rust
- Gleam v1.0.0
- Gleam has a 1.0 release candidate
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Welcome to the Gleam Language Tour
Oh, strange that github had a date of 2016 on this one: https://github.com/gleam-lang/gleam/issues/2
I was just going by that, though I do remember checking out gleam 5 years ago or so.
Re: macros, I really do think they’re a big deal and all the other newer languages I’ve used, such as Rust have some kind of macros or powerful meta programming features.
For older languages, a few, like Ruby have enough meta programmability to make nice DSLs, but many others don’t. Given the choice, I’d much rather have Elixir/Clojure style macros than other meta-programming facilities I’ve seen so far.
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Inko Programming Language
I had been only following this language with some interest, I guess this was born in gitlab not sure if the creator(s) still work there. This is what I'd have wanted golang to be (albeit with GC when you do not have clear lifetimes).
But how would you differentiate yourself from https://gleam.run which can leverage the OTP, I'd be more interested if we can adapt Gleam to graalvm isolates so we can leverage the JVM ecosystem.
What are some alternatives?
next-auth - Authentication for the Web.
are-we-fast-yet - Are We Fast Yet? Comparing Language Implementations with Objects, Closures, and Arrays
portal - A clojure tool to navigate through your data.
web3.js - Collection of comprehensive TypeScript libraries for Interaction with the Ethereum JSON RPC API and utility functions.
libpython-clj - Python bindings for Clojure
Rustler - Safe Rust bridge for creating Erlang NIF functions
pytudes - Python programs, usually short, of considerable difficulty, to perfect particular skills.
ponyc - Pony is an open-source, actor-model, capabilities-secure, high performance programming language
leo-editor - Leo is an Outliner, Editor, IDE and PIM written in 100% Python.
nx - Multi-dimensional arrays (tensors) and numerical definitions for Elixir
JD Esurvey - JD eSurvey is an open source enterprise survey web application written in Java and based on the Spring Framework. Check out the tutorial videos to find out more about the application features.
hamler - Haskell-style functional programming language running on Erlang VM.