tidyquery VS tidylog

Compare tidyquery vs tidylog and see what are their differences.

tidyquery

Query R data frames with SQL (by ianmcook)
R SQL Tidyverse dplyr Query
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tidylog

Tidylog provides feedback about dplyr and tidyr operations. It provides wrapper functions for the most common functions, such as filter, mutate, select, and group_by, and provides detailed output for joins. (by elbersb)
dplyr R tidyr Tidyverse wrapper-functions
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tidyquery tidylog
2 1
167 572
- -
0.0 2.7
over 1 year ago 7 months ago
R R
Apache License 2.0 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.
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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.

tidyquery

Posts with mentions or reviews of tidyquery. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-03-02.
  • Can "dplyr" code automatically be converted to SQL code?
    1 project | /r/rstats | 15 Sep 2021
    tidyquery
  • ClickHouse as an alternative to Elasticsearch for log storage and analysis
    13 projects | news.ycombinator.com | 2 Mar 2021
    > SQL is a perfect language for analytics.

    Slightly off topic, but I strongly agree with this statement and wonder why the languages used for a lot of data science work (R, Python) don't have such a strong focus on SQL.

    It might just be my brain, but SQL makes so much logical sense as a query language and, with small variances, is used to directly query so many databases.

    In R, why learn the data.tables (OK, speed) or dplyr paradigms, when SQL can be easily applied directly to dataframes? There are libraries to support this like sqldf[1], tidyquery[2] and duckdf[3] (author). And I'm sure the situation is similar in Python.

    This is not a post against great libraries like data.table and dplyr, which I do use from time to time. It's more of a question about why SQL is not more popular as the query language de jour for data science.

    [1] https://cran.r-project.org/web/packages/sqldf/index.html

    [2] https://github.com/ianmcook/tidyquery

    [3] https://github.com/phillc73/duckdf

tidylog

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

What are some alternatives?

When comparing tidyquery and tidylog you can also consider the following projects:

duckdf - 🦆 SQL for R dataframes, with ducks

IntRo - Introduction to R for health data

clickhousedb_fdw - PostgreSQL's Foreign Data Wrapper For ClickHouse

timetk - Time series analysis in the `tidyverse`

meilisearch-js-plugins - The search client to use Meilisearch with InstantSearch.

dtplyr - Data table backend for dplyr

tidyquant - Bringing financial analysis to the tidyverse

janitor - simple tools for data cleaning in R

tidyverse - Easily install and load packages from the tidyverse

MeiliSearch - A lightning-fast search API that fits effortlessly into your apps, websites, and workflow

desctable - An R package to produce descriptive and comparative tables

tidyquery vs duckdf tidylog vs IntRo tidyquery vs clickhousedb_fdw tidylog vs timetk tidyquery vs meilisearch-js-plugins tidylog vs dtplyr tidyquery vs tidyquant tidylog vs janitor tidyquery vs tidyverse tidylog vs tidyquant tidyquery vs MeiliSearch tidylog vs desctable