dtplyr
Data table backend for dplyr (by tidyverse)
dataframe-api
RFC document, tooling and other content related to the dataframe API standard (by data-apis)
| dtplyr | dataframe-api | |
|---|---|---|
| 24 | 2 | |
| 654 | 95 | |
| -0.3% | - | |
| 7.5 | 8.6 | |
| 2 months ago | about 1 month ago | |
| R | Python | |
| GNU General Public License v3.0 or later | MIT License |
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.
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.
dtplyr
Posts with mentions or reviews of dtplyr.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-04-09.
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Tidyverse 2.0.0
Can’t say I’ve used it, but isn’t that what dtplyr is supposed to provide?
https://dtplyr.tidyverse.org/
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Error when trying to use dtplyr::lazy_dt, "invalid argument to unary operator"
# I am trying to follow the example at https://dtplyr.tidyverse.org/
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Millions of rows
FYI the developer of tidytable has been developing dtplyr for the Tidyverse. You might like that too!
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fuzzyjoin - "Error in which(m) : argument to 'which' is not logical"
If you need speed, you should consider using dtplyr (or tidytable), or even dbplyr with duckdb.
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Best alternative to Pandas 2023?
https://dtplyr.tidyverse.org/ ?
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R Dialects Broke Me
If you want data.table speed, but using dplyr/tidy then dtplyr is a good package to have handy. Personally I love R, and choose R + NodeJS as my gotos for everything I do, and use Python only when I have to.
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Merging csv from environment.
Also, that dataset is quite big, and the "base" Tidyverse will be excessively slow. You should supplement the "base" Tidyverse packages (i.e. dplyr and tidyr) with either dtplyr or dbplyr (+ duckDB). I'd suggest starting with dtplyr, which should handle 10M+ rows fine.
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mutate ( ) function is only working in code chunk I run it in. It does not change the column in my data frame other than in that one code chunk.
If you want, there's a "substitute" for dplyr called dtplyr (also part of the Tidyverse), which "translates" your dplyr/tidyr code into data.table behind the scenes, and allows you to make your modifications apply directly to the original dataset by default:
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R process taking over 2 hours to run suddenly
Install the dtplyr package and change your code to:
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DS student here: why use R over Python?
Get the best of both worlds (tidyverse + data.tables) with dtplyr, a data.table backend for dplyr.
dataframe-api
Posts with mentions or reviews of dataframe-api.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-05-15.
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Introducing seaborn-polars, a package allowing to use Polars DataFrames and LazyFrames with Seaborn
Yes, with the upcoming dataframe api protocol the implementation and API will be separated for libraries that adopt that protocol.
- Polars: Lightning-fast DataFrame library for Rust and Python
What are some alternatives?
When comparing dtplyr and dataframe-api you can also consider the following projects:
tidytable - Tidy interface to 'data.table'
minimal-pandas-api-for-polars - pip install minimal-pandas-api-for-polars
polars - Dataframes powered by a multithreaded, vectorized query engine, written in Rust
dataiter - Python classes for data manipulation
tidypolars - Tidy interface to polars
vaex - Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per second 🚀
Datamancer - A dataframe library with a dplyr like API
explorer - Series (one-dimensional) and dataframes (two-dimensional) for fast and elegant data exploration in Elixir