libpython-clj
ploomber
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libpython-clj | ploomber | |
---|---|---|
25 | 121 | |
1,025 | 3,374 | |
2.0% | 1.0% | |
5.7 | 7.4 | |
about 2 months ago | 17 days ago | |
Clojure | Python | |
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?
ploomber
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Show HN: JupySQL – a SQL client for Jupyter (ipython-SQL successor)
- One-click sharing powered by Ploomber Cloud: https://ploomber.io
Documentation: https://jupysql.ploomber.io
Note that JupySQL is a fork of ipython-sql; which is no longer actively developed. Catherine, ipython-sql's creator, was kind enough to pass the project to us (check out ipython-sql's README).
We'd love to learn what you think and what features we can ship for JupySQL to be the best SQL client! Please let us know in the comments!
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Runme – Interactive Runbooks Built with Markdown
For those who don't know, Jupyter has a bash kernel: https://github.com/takluyver/bash_kernel
And you can run Jupyter notebooks from the CLI with Ploomber: https://github.com/ploomber/ploomber
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Rant: Jupyter notebooks are trash.
Develop notebook-based pipelines
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Who needs MLflow when you have SQLite?
Fair point. MLflow has a lot of features to cover the end-to-end dev cycle. This SQLite tracker only covers the experiment tracking part.
We have another project to cover the orchestration/pipelines aspect: https://github.com/ploomber/ploomber and we have plans to work on the rest of features. For now, we're focusing on those two.
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New to large SW projects in Python, best practices to organize code
I recommend taking a look at the ploomber open source. It helps you structure your code and parameterize it in a way that's easier to maintain and test. Our blog has lots of resources about it from testing your code to building a data science platform on AWS.
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A three-part series on deploying a Data Science Platform on AWS
Developing end-to-end data science infrastructure can get complex. For example, many of us might have struggled to try to integrate AWS services and deal with configuration, permissions, etc. At Ploomber, we’ve worked with many companies in a wide range of industries, such as energy, entertainment, computational chemistry, and genomics, so we are constantly looking for simple solutions to get them started with Data Science in the cloud.
- Ploomber Cloud - Parametrizing and running notebooks in the cloud in parallel
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Is Colab still the place to go?
If you like working locally with notebooks, you can run via the free tier of ploomber, that'll allow you to get the Ram/Compute you need for the bigger models as part of the free tier. Also, it has the historical executions so you don't need to remember what you executed an hour later!
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Alternatives to nextflow?
It really depends on your use cases, I've seen a lot of those tools that lock you into a certain syntax, framework or weird language (for instance Groovy). If you'd like to use core python or Jupyter notebooks I'd recommend Ploomber, the community support is really strong, there's an emphasis on observability and you can deploy it on any executor like Slurm, AWS Batch or Airflow. In addition, there's a free managed compute (cloud edition) where you can run certain bioinformatics flows like Alphafold or Cripresso2
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Saving log files
That's what we do for lineage with https://ploomber.io/
What are some alternatives?
hissp - It's Python with a Lissp.
Kedro - Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable, and modular.
spark-nlp - State of the Art Natural Language Processing
papermill - 📚 Parameterize, execute, and analyze notebooks
clerk - ⚡️ Moldable Live Programming for Clojure
dagster - An orchestration platform for the development, production, and observation of data assets.
py4cl - Call python from Common Lisp
dvc - 🦉 ML Experiments and Data Management with Git
tablecloth - Dataset manipulation library built on the top of tech.ml.dataset
argo - Workflow Engine for Kubernetes
sklearn-clj - Plugin to use sklearn models in metamorph.ml
MLflow - Open source platform for the machine learning lifecycle