Software Alternatives & Reviews

Tinn-R VS NppToR

Compare Tinn-R VS NppToR and see what are their differences

Tinn-R logo Tinn-R

Tinn-R, the R code editor

NppToR logo NppToR

Description Similar to the windows R gui built in editor, NppToR aims to extend the functionality...
  • Tinn-R Landing page
    Landing page //
    2023-10-22
  • NppToR Landing page
    Landing page //
    2023-09-28

Tinn-R videos

Tinn-R quick tutorial

NppToR videos

V2: Instalacion del software necesario (R, Notepad++ y NpptoR) para el Curso

Category Popularity

0-100% (relative to Tinn-R and NppToR)
Data Science And Machine Learning
Data Science Tools
61 61%
39% 39
Data Dashboard
31 31%
69% 69
Statistics
63 63%
37% 37

User comments

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Social recommendations and mentions

Based on our record, NppToR seems to be more popular. It has been mentiond 1 time since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Tinn-R mentions (0)

We have not tracked any mentions of Tinn-R yet. Tracking of Tinn-R recommendations started around Mar 2021.

NppToR mentions (1)

  • Alternatives to Rstudio
    Before RStudio I used NppToR https://sourceforge.net/projects/npptor/. Source: over 2 years ago

What are some alternatives?

When comparing Tinn-R and NppToR, you can also consider the following products

RStudio - RStudio™ is a new integrated development environment (IDE) for R.

Jupyter - Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages. Ready to get started? Try it in your browser Install the Notebook.

Q Research Software - Q is for the interpretation, analysis, visualization and reporting of market research data.

MarketSight - MarketSight® is a web-based data analysis platform for analyzing and visualizing survey...

R-Fiddle - A very simple online IDE for R Language.

NumPy - NumPy is the fundamental package for scientific computing with Python