regression-js VS dplyr

Compare regression-js vs dplyr and see what are their differences.

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regression-js dplyr
2 40
927 4,652
- 0.7%
0.0 7.4
over 1 year ago 18 days ago
JavaScript R
MIT License GNU General Public License v3.0 or later
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.

regression-js

Posts with mentions or reviews of regression-js. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-09-09.
  • Data Science with JavaScript: What we've learned so far?
    7 projects | news.ycombinator.com | 9 Sep 2021
  • Hal9: Data Science with JavaScript
    4 projects | /r/datascience | 9 Sep 2021
    Modeling: We are currently exploring this space so our findings are not final yet but let me share what we've found so far. TensorFlow.js is absolutely amazing, it provides a native port from TensorFlow to JavaScript with CPU, WebGL, WebAssembly and NodeJS backends. We were able to write an LSTM to do time series prediction, so far so good. However, we started hitting issues when we started to do simpler models, like a linear regression. We tried Regression.js but we found it falls short, so we wrote our own script to handle single-variable regressions using TF.js and gradient decent. It actually worked quite well but exposed a flaw in this approach; basically, there is a lot of work to be done to bring many models into the web. We also found out Arquero.js does not play nicely with TF.js since well, Arquero.js does not support tensors; so we went on to explore Danfo.js, which integrates great with TF.js but we found out it's hard to scale it's transformations to +1M rows and found other rough edges. Since then, well, we started exploring Pyodide and perhaps contributing to Danfo.js, or perhaps involve more server-side compute, but that will be a story for another time.

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.

What are some alternatives?

When comparing regression-js and dplyr you can also consider the following projects:

arquero - Query processing and transformation of array-backed data tables.

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

examples - TensorFlow examples

Rustler - Safe Rust bridge for creating Erlang NIF functions

hal9ai - Hal9 — Data apps powered by code and LLMs [Moved to: https://github.com/hal9ai/hal9]

ggplot2 - An implementation of the Grammar of Graphics in R

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

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

Keras - Deep Learning for humans

explorer - Series (one-dimensional) and dataframes (two-dimensional) for fast and elegant data exploration in Elixir

rmarkdown - Dynamic Documents for R