libpython-clj
ZIO
libpython-clj | ZIO | |
---|---|---|
25 | 59 | |
1,029 | 3,992 | |
1.1% | 0.3% | |
5.7 | 9.5 | |
2 months ago | about 3 hours ago | |
Clojure | Scala | |
Eclipse Public License 2.0 | 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.
libpython-clj
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Pyffi – Use Python from Racket
It’s also worth noting that Clojure has libpython-clj (https://github.com/clj-python/libpython-clj) which offers an interface with Python from another lisp. Here are some advanced ML and dataviz examples using that lib: https://github.com/gigasquid/libpython-clj-examples.
- A Python-compatible statically typed language erg-lang/erg
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Clojure Scripting on Node.js
Basically, you take a programming language and make it work on a platform that meant to be programmed using a different PL. Clojure is hosted by design - it's not Java, but can be used to program for JVM. It ain't Javascript, but can be used to target nodejs and browser; not an [official] CLR language, but you can write .Net programs. You can use Clojure to make Flutter apps with ClojureDart. You can integrate Python into Clojure with libpython-clj. Or write Clojure to target Erlang/OTP; or Rust; or R; There's even a clojure-like language for Lua - Fennel.
There's something about Clojure people like so much, they want it to work atop any platform.
https://github.com/Tensegritics/ClojureDart
https://github.com/clj-python/libpython-clj
https://github.com/clojerl/clojerl
https://github.com/clojure-rs/ClojureRS
https://github.com/scicloj/clojisr
https://fennel-lang.org
- Why Clojure is not widely adopted like mainstream languages?
- Clj-Python: Python bindings for Clojure
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Why is there no Clojure to Python Compiler / Transpiler?
There's this project that's used a lot for taking advantage of Pythons ecosystem through Clojure JVM. https://github.com/clj-python/libpython-clj
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(define (uwu) (display "nya~\n"))
Ahh, makes sense. Well, if you ever wanna steal some of python's thunder, libpython-clj worked great for me lol. Supposedly py4cl fills a similar role in Common Lisp.
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Notebooks suck: change my mind
High quality interop with any python library via libpython-clj including, but not limited to, keras, numpy, matplotlib, and pandas. This includes zero copy paths from many of those.
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Java Bindings for Libpython-clj
libpython-clj now has Java bindings...go tell all your Java friends!
- Best Lisp dialect?
ZIO
- The golden age of Kotlin and its uncertain future
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I had a great experience with Scala and hopefully it will get more popular
scala has 2 healthy and pretty complete lib ecosystems : check out typelevel and ZIO. Both are FP oriented, which might not be your cup of tea at first glance but I would encourage you to try em out ! Softest introduction would be to start with the typelevel cats library and build up from there. The excellent Scala with Cats will ease you softly into an FP mindset. It's a bit dated and for scala 2 only but translating to Scala 3 is a very good exercise if you feel so inclined !
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Is it prudent to use Scala for anything new?
Last but not least, Scala is currently the language with one of the best effect systems in my opinion (https://zio.dev/). Kotlin for example has copied the approach with https://arrow-kt.io/ which I think is great actually. But when comparing Scala and Kotlin here, Scala wins by a large margin, it is a completely different world. It's like building a highly concurrent system in Erlang vs C.
Of course, if you don't want to learn things like union types, traits/typeclasses and effects (similar to async/await but more powerful) you will be annoyed by Scala. But once you learned them, you can never go back.
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How to get started?
ZIO
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Reconnecting with Scala. What's new?
Links: - https://dotty.epfl.ch/ - https://scala-native.org/en/stable/ - https://www.scala-js.org/ - https://typelevel.org/ - https://zio.dev/ - https://github.com/scala-native/scala-native/pull/3120 - https://github.com/lampepfl/dotty/pull/16517 - https://dotty.epfl.ch/docs/reference/experimental/index.html - https://scala-cli.virtuslab.org/ - https://scalameta.org/metals/ - https://docs.scala-lang.org/scala3/guides/migration/compatibility-intro.html - https://www.scala-lang.org/blog/2023/04/18/faster-scalajs-development-with-frontend-tooling.html - https://www.scala-lang.org/blog/2022/08/17/long-term-compatibility-plans.html
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Why actors are a great fit for a data processing pipeline and how we use them for Quickwit's engine
For the Rx approach, The ZIO framework for Scala has a streaming API that can meet those sorts of requirements. e.g.
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How to build a Scala Zio CRUD Microservice
This tutorial will introduce how to build from scratch, a REST microservice using the ZIO framework, and examples of ZIO dependency injection, ZIO HTTP, JSON, JDBC, and others from the ZIO environment. The source code is available here
- Cuál lenguaje les da de comer, comunidad?
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Is Parallel Programming Hard, and, If So, What Can You Do About It? [pdf]
I use ZIO (http://zio.dev) for Scala which makes parallel programming trivial.
Wraps different styles of asynchronicity e.g. callbacks, futures, fibers into one coherent model. And has excellent resource management so you can be sure that when you are forking a task that it will always clean up after itself.
Have yet to see anything that comes close whilst still being practical i.e. you can leverage the very large ecosystem of Java libraries.
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40x Faster! We rewrote our project with Rust!
The one advantage Rust has over Scala is that it detects data races at compile time, and that's a big time saver if you use low level thread synchronization. However, if you write pure FP code with ZIO or Cats Effect that's basically a non-issue anyway.
What are some alternatives?
hissp - It's Python with a Lissp.
cats-effect - The pure asynchronous runtime for Scala
spark-nlp - State of the Art Natural Language Processing
Monix - Asynchronous, Reactive Programming for Scala and Scala.js.
clerk - ⚡️ Moldable Live Programming for Clojure
Http4s - A minimal, idiomatic Scala interface for HTTP
py4cl - Call python from Common Lisp
Vert.x - Vert.x is a tool-kit for building reactive applications on the JVM
tablecloth - Dataset manipulation library built on the top of tech.ml.dataset
cats - Lightweight, modular, and extensible library for functional programming.
sklearn-clj - Plugin to use sklearn models in metamorph.ml
fs2-kafka - Functional Kafka Streams for Scala