dplyr VS explorer

Compare dplyr vs explorer and see what are their differences.

explorer

Series (one-dimensional) and dataframes (two-dimensional) for fast and elegant data exploration in Elixir (by elixir-explorer)
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dplyr explorer
40 21
4,683 1,034
0.6% 5.6%
7.3 9.4
21 days ago 4 days ago
R Elixir
GNU General Public License v3.0 or later MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.

dplyr

Posts with mentions or reviews of dplyr. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-03-15.

explorer

Posts with mentions or reviews of explorer. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-05-29.
  • Elixir and Machine Learning in 2024 so far: MLIR, Arrow, structured LLM, etc.
    7 projects | news.ycombinator.com | 29 May 2024
    It has always been possible to do custom transformations via Series.transform. And here is a PR adding it to dataframes: https://github.com/elixir-explorer/explorer/pull/912 - the PR uses existing APIs, it was possible before, it just makes it more convenient. I am sure more will be added later
  • Polars
    11 projects | news.ycombinator.com | 8 Jan 2024
    The Explorer library [0] in Elixir uses Polars underneath it.

    [0] https://github.com/elixir-explorer/explorer

  • Unpacking Elixir: Concurrency
    9 projects | news.ycombinator.com | 25 Aug 2023
  • Elixir Livebook is a secret weapon for documentation
    12 projects | news.ycombinator.com | 6 Aug 2023
    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.

  • Does anyone else hate Pandas?
    2 projects | /r/dataengineering | 11 Jun 2023
    Already exists. Check out https://github.com/elixir-nx/explorer which provides a tidyverse-like API in Elixir using polars as the back end.
  • Data wrangling in Elixir with Explorer, the power of Rust, the elegance of R
    7 projects | news.ycombinator.com | 14 Apr 2023
    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!

  • Would you still choose Elixir/Phoenix/LiveView if scaling and performance weren’t an issue to solve for?
    3 projects | /r/elixir | 7 Mar 2023
    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.
  • Updated Erlport alternative ?
    3 projects | /r/elixir | 26 Oct 2022
    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.
  • ElixirConf 2022 - That's a wrap!
    7 projects | dev.to | 12 Sep 2022
    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
    1 project | news.ycombinator.com | 23 Aug 2022

What are some alternatives?

When comparing dplyr and explorer you can also consider the following projects:

worldfootballR - A wrapper for extracting world football (soccer) data from FBref, Transfermark, Understat

polars - Dataframes powered by a multithreaded, vectorized query engine, written in Rust

Rustler - Safe Rust bridge for creating Erlang NIF functions

axon - Nx-powered Neural Networks

nx - Multi-dimensional arrays (tensors) and numerical definitions for Elixir

db-benchmark - reproducible benchmark of database-like ops

ggplot2 - An implementation of the Grammar of Graphics in R

arrow2 - Transmute-free Rust library to work with the Arrow format

rmarkdown - Dynamic Documents for R

wasmex - Execute WebAssembly from Elixir

Pandas - Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

vaex - Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per second 🚀

InfluxDB - Power Real-Time Data Analytics at Scale
Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
www.influxdata.com
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