SaaSHub helps you find the best software and product alternatives Learn more →
Dtplyr Alternatives
Similar projects and alternatives to dtplyr
-
-
prql
PRQL is a modern language for transforming data — a simple, powerful, pipelined SQL replacement
-
InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
-
-
-
-
WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
-
explorer
Series (one-dimensional) and dataframes (two-dimensional) for fast and elegant data exploration in Elixir
-
-
-
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 🚀
-
-
-
-
-
SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
NOTE:
The number of mentions on this list indicates mentions on common posts plus user suggested alternatives.
Hence, a higher number means a better dtplyr alternative or higher similarity.
dtplyr reviews and mentions
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.
-
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/
-
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/
-
Millions of rows
FYI the developer of tidytable has been developing dtplyr for the Tidyverse. You might like that too!
-
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.
-
Best alternative to Pandas 2023?
https://dtplyr.tidyverse.org/ ?
-
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.
-
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.
-
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:
-
R process taking over 2 hours to run suddenly
Install the dtplyr package and change your code to:
-
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.
-
A note from our sponsor - SaaSHub
www.saashub.com | 25 Apr 2024
Stats
Basic dtplyr repo stats
24
654
7.5
2 months ago
tidyverse/dtplyr is an open source project licensed under GNU General Public License v3.0 or later which is an OSI approved license.
The primary programming language of dtplyr is R.
Sponsored
SaaSHub - Software Alternatives and Reviews
SaaSHub helps you find the best software and product alternatives
www.saashub.com