rtypeform VS forecast

Compare rtypeform vs forecast and see what are their differences.

rtypeform

An R interface to the 'typeform' API. (by csgillespie)

forecast

Forecasting Functions for Time Series and Linear Models (by robjhyndman)
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rtypeform forecast
1 2
13 1,100
- -
10.0 7.1
over 1 year ago 30 days ago
R R
- -
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.

rtypeform

Posts with mentions or reviews of rtypeform. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-09-24.
  • typeCreate: programmatically create and retrieve typeforms and their responses in R
    2 projects | /r/rstats | 24 Sep 2022
    There already exists rtypeform, but the last commit is 2 years old, and there is no functionality for actually building forms which was the motivation for creating this package. Additionally, the results retrieval is somewhat incomplete and requires manual manipulation of result sets to get a tabular output. While a work in progress, typeCreate takes a form id and returns a table much like what you would expect from a google form or other simpler interface ready for analysis.

forecast

Posts with mentions or reviews of forecast. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-04-30.

What are some alternatives?

When comparing rtypeform and forecast you can also consider the following projects:

nflfastR - A Set of Functions to Efficiently Scrape NFL Play by Play Data

parsel - parallel execution of RSelenium

future - :rocket: R package: future: Unified Parallel and Distributed Processing in R for Everyone

lmForc - R package for evaluating linear forecasting models.

mindr - an R package which converts markdown files (.md, .Rmd) into mindmaps (brainstorms)

Peptides - An R package to calculate indices and theoretical physicochemical properties of peptides and protein sequences.

typeCreate - Generate typeorms via the typeform API

modeltime.ensemble - Time Series Ensemble Forecasting

HoRM - Supplemental Functions and Datasets for "Handbook of Regression Methods"

tsfel - An intuitive library to extract features from time series.

darts - A python library for user-friendly forecasting and anomaly detection on time series.