caRtola VS FielDHub

Compare caRtola vs FielDHub and see what are their differences.

caRtola

Extração de dados da API do CartolaFC, análise exploratória dos dados e modelos preditivos em R e Python - 2014-22. [EN] Data munging, analysis and modeling of CartolaFC - the most popular fantasy football game in Brazil and maybe in the world. Data cover years 2014-22. (by henriquepgomide)
cartola R Python Data dados Data Science Shiny jupyter-notebook
Source Code
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FielDHub

FielDHub is an R Shiny design of experiments (DOE) app that aids in the creation of traditional, unreplicated, augmented and partially replicated (p-rep) designs applied to agriculture, plant breeding, forestry, animal and biological sciences. (by DidierMurilloF)
Experimental Design breeding agricultural R Rstats Shiny doe plantbreeding
Source Code
didiermurillof.github.io
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caRtola FielDHub
1 1
438 35
- -
0.0 6.5
5 months ago 18 days ago
HTML HTML
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.

caRtola

Posts with mentions or reviews of caRtola. We have used some of these posts to build our list of alternatives and similar projects.

FielDHub

Posts with mentions or reviews of FielDHub. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing caRtola and FielDHub you can also consider the following projects:

NBA-attendance-prediction - Attendance prediction tool for NBA games using machine learning. Full pipeline implemented in Python from data ingestion to prediction. Attained mean absolute error of around 800 people (about 5% capacity) on test set.

awesome-creative-coding - Creative Coding: Generative Art, Data visualization, Interaction Design, Resources.

vembedr - Functions to Embed Video in HTML

covid-poops - COVID-19 monitoring data from wastewater.

surveydown - An attempt to build a markdown-based survey platform using Quarto & Shiny

qcoder - Lightweight package to do qualitative coding

tech-diff - Compare different technologies. No BS and all sources linked.

webR-quarto-demos - Experiments with generating a standalone Quarto Document using Web R

datasciencecoursera - Data Science Repo and blog for John Hopkins Coursera Courses. Please let me know if you have any questions.

my-little-crony - A visualization of the connections between Tory politicians and companies being awarded government contracts during the pandemic.

sololearn - Compilation of all SoloLearn courses with their respective projects and practices and all 72 code challenges for all 7 supported languages.

RInno - How to install local shiny apps

caRtola vs NBA-attendance-prediction FielDHub vs awesome-creative-coding caRtola vs vembedr FielDHub vs covid-poops caRtola vs surveydown FielDHub vs qcoder caRtola vs tech-diff FielDHub vs webR-quarto-demos caRtola vs datasciencecoursera FielDHub vs my-little-crony caRtola vs sololearn FielDHub vs RInno