explorer
nushell
explorer | nushell | |
---|---|---|
20 | 214 | |
977 | 30,081 | |
1.2% | 1.7% | |
9.4 | 9.9 | |
5 days ago | 4 days ago | |
Elixir | Rust | |
MIT License | 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.
explorer
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Polars
The Explorer library [0] in Elixir uses Polars underneath it.
[0] https://github.com/elixir-explorer/explorer
- Unpacking Elixir: Concurrency
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Elixir Livebook is a secret weapon for documentation
To ensure you do not miss this: LiveBook comes with a Vega Lite integration (https://livebook.dev/integrations -> https://livebook.dev/integrations/vega-lite/), which means you get access to a lot of visualisations out of the box, should you need that (https://vega.github.io/vega-lite/).
In the same "standing on giant's shoulders" stance, you can use Explorer (see example LiveBook at https://github.com/elixir-explorer/explorer/blob/main/notebo...), which leverages Polars (https://www.pola.rs), a very fast DataFrame library and now a company (https://www.pola.rs/posts/company-announcement/) with 4M$ seed.
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Does anyone else hate Pandas?
Already exists. Check out https://github.com/elixir-nx/explorer which provides a tidyverse-like API in Elixir using polars as the back end.
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Data wrangling in Elixir with Explorer, the power of Rust, the elegance of R
José from the Livebook team. I don't think I can make a pitch because I have limited Python/R experience to use as reference.
My suggestion is for you to give it a try for a day or two and see what you think. I am pretty sure you will find weak spots and I would be very happy to hear any feedback you may have. You can find my email on my GitHub profile (same username).
In general we have grown a lot since the Numerical Elixir effort started two years ago. Here are the main building blocks:
* Nx (https://github.com/elixir-nx/nx/tree/main/nx#readme): equivalent to Numpy, deeply inspired by JAX. Runs on both CPU and GPU via Google XLA (also used by JAX/Tensorflow) and supports tensor serving out of the box
* Axon (https://github.com/elixir-nx/axon): Nx-powered neural networks
* Bumblebee (https://github.com/elixir-nx/bumblebee): Equivalent to HuggingFace Transformers. We have implemented several models and that's what powers the Machine Learning integration in Livebook (see the announcement for more info: https://news.livebook.dev/announcing-bumblebee-gpt2-stable-d...)
* Explorer (https://github.com/elixir-nx/explorer): Series and DataFrames, as per this thread.
* Scholar (https://github.com/elixir-nx/scholar): Nx-based traditional Machine Learning. This one is the most recent effort of them all. We are treading the same path as scikit-learn but quite early on. However, because we are built on Nx, everything is derivable, GPU-ready, distributable, etc.
Regarding visualization, we have "smart cells" for VegaLite and MapLibre, similar to how we did "Data Transformations" in the video above. They help you get started with your visualizations and you can jump deep into the code if necessary.
I hope this helps!
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Would you still choose Elixir/Phoenix/LiveView if scaling and performance weren’t an issue to solve for?
There's a package in the Nx ecosystem called Explorer (https://github.com/elixir-nx/explorer). It uses bindings for the rust library, polars, which is much more betterer than Pandas.
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Updated Erlport alternative ?
FWIW around April this year I started using erlport with python polars in a production ETL app because explorer didn't have the features I needed at the time.
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ElixirConf 2022 - That's a wrap!
Machine learning is rapidly expanding within the Elixir ecosystem, with tools such as Nx, Axon, and Explorer being used both by individuals and companies such as Amplified, as mentioned above.
- Dataframes but for Elixir
- Quick candlestick summaries with Elixir's Explorer
nushell
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Exploring Nushell, a Rust-powered, cross-platform shell
The first method is through downloading the pre-built binaries. With this method, you don't need to install anything other than Nushell's dependencies. Once you've downloaded the binaries, add them to your system's environment path to run it directly in your terminal.
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PowerShell: The object-oriented shell you didn't know you needed
I rather nushell for this purpose, it's more fun to write and easier to read.
https://www.nushell.sh/
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NuShell - Ceci n'est pas une |
These are just three small examples of what this shell written in Rust allows. The features are many and many more, but I'll leave it up to you to discover and enjoy them; I'm currently playing around with it and it's giving me a lot of satisfaction and immediacy, now it has a fixed place among the tools I use when working! The project is Open Source, so if you want to contribute, I invite you, as always, to do so, I leave you the link to the repo here!
- Xonsh: Python-powered, cross-platform, Unix-gazing shell
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Fish shell 3.7.0: last release branch before the full Rust rewrite
Any thoughts on fish as compared to nushell [0]? It's similar to PowerShell in its philosophy and is also written in Rust.
[0] https://github.com/nushell/nushell
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jc: Converts the output of popular command-line tools to JSON
> In PowerShell, structured output is the default and it seems to work very well.
PowerShell goes a step beyond JSON, by supporting actual mutable objects. So instead of just passing through structured data, you effectively pass around opaque objects that allow you to go back to earlier pipeline stages, and invoke methods, if I understand correctly: https://learn.microsoft.com/en-us/powershell/module/microsof....
I'm rather fond of wrappers like jc and libxo, and experimental shells like https://www.nushell.sh/. These still focus on passing data, not objects with executable methods. On some level, I find this comfortable: Structured data still feels pretty Unix-like, if that makes sense? If I want actual objects, then it's probably time to fire up Python or Ruby.
Knowing when to switch from a shell script to a full-fledged programming language is important, even if your shell is basically awesome and has good programming features.
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Ripgrep is faster than {grep, ag, Git grep, ucg, pt, sift}
Maybe if the "popular" shells, but http://www.nushell.sh/ is looking better and better
- "<ESC>[31M"? ANSI Terminal security in 2023 and finding 10 CVEs
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jq 1.7 Released
Yeah agreed, especially now that PowerShell is available cross-platform.
Nushell[1] also seems like a promising alternative, but I haven’t had a chance to play with it yet.
[1]: https://www.nushell.sh/
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The Case for Nushell
I also discovered an existing discussion[1] related to this topic which includes a link[2] to a "helper to call nushell nuon/json/yaml commands from bash/fish/zsh" and a comment[3] that the current nushell dev focus is "on getting the experience inside nushell right and [we] probably won't be able to dedicate design time to get the interface of native Nu commands with an outside POSIX shell right and stable.".
[0] https://gitlab.com/RancidBacon/notes_public/-/blob/main/note...
[1] "Expose some commands to external world #6554": https://github.com/nushell/nushell/issues/6554
[2] https://github.com/cruel-intentions/devshell-files/blob/mast...
[3] https://github.com/nushell/nushell/issues/6554#issuecomment-...
What are some alternatives?
dplyr - dplyr: A grammar of data manipulation
fish-shell - The user-friendly command line shell.
polars - Dataframes powered by a multithreaded, vectorized query engine, written in Rust
elvish - Powerful scripting language & Versatile interactive shell
axon - Nx-powered Neural Networks
starship - ☄🌌️ The minimal, blazing-fast, and infinitely customizable prompt for any shell!
db-benchmark - reproducible benchmark of database-like ops
PowerShell - PowerShell for every system!
arrow2 - Transmute-free Rust library to work with the Arrow format
alacritty - A cross-platform, OpenGL terminal emulator.
wasmex - Execute WebAssembly from Elixir
xonsh - :shell: Python-powered, cross-platform, Unix-gazing shell.