mech
dtplyr
Our great sponsors
mech | dtplyr | |
---|---|---|
5 | 24 | |
199 | 656 | |
3.0% | 0.8% | |
7.0 | 7.5 | |
5 months ago | about 1 month ago | |
Rust | R | |
Apache License 2.0 | GNU General Public License v3.0 or later |
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.
mech
-
Reactive Programming Without Functions
There's also https://github.com/mech-lang/mech which is a sort of descendant of Eve https://witheve.com/ . That too seems to be getting close to hiatus. It's a bit of a shame since it seems like quite a nice paradigm for some stuff like GUIs, interactive stuff, and discrete event simulation, but I suppose the paradigm is both a bit obscure and different enough from everything else that it becomes a "boil the ocean" situation where one or a few people try and hack away but aren't really able to get much traction and eventually tired themselves out.
-
What features would you want in a new programming language?
You should take a look at the language Iβm developing, Mech: https://github.com/mech-lang/mech
-
How do you think of concurrency and parallelism and what would your dream syntax be for it?
I'm working on a language called Mech (github.com/mech-lang/mech) that is semantically parallel and asynchronous first. You can write something like this:
-
Frustration: One Year with R
> HN readers - do you have an "up and coming" language that you think has better structured the fundamentals from R, that you hope will someday have enough capabilities you can use it instead of R?
Hope is the operative word here!
I'm writing a language to compete in this area. It's called Mech and I'll be releasing the first beta in October. You can think of it like Matlab + Excel. It's very fast, has default-parallel semantics for operators and functions, and supports full interactive coding with no startup/compilation latency issues. It's meant for robots, but I've also designed it to be a better Matlab, and I think it should take on R handily. Fair warning, it's public alpha now so error messages are sparse and the happy path is narrow.
dtplyr
-
Tidyverse 2.0.0
Canβt say Iβve used it, but isnβt that what dtplyr is supposed to provide?
-
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.
-
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.
-
PRQL 0.2 β a modern language for transforming data β a simple, powerful, pipelined SQL replacement. Now ready to use!
Isn't there https://github.com/tidyverse/dtplyr with dplyr syntax but a data.table backend = best of both worlds?
-
Frustration: One Year with R
Have you seen https://dtplyr.tidyverse.org? It gives you the syntax of dtplyr and (almost all of) the speed of data.table.
- Polars: Lightning-fast DataFrame library for Rust and Python
- Tidyverse appreciation thread
What are some alternatives?
tidytable - Tidy interface to 'data.table'
polars - Dataframes powered by a multithreaded, vectorized query engine, written in Rust
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 π
explorer - Series (one-dimensional) and dataframes (two-dimensional) for fast and elegant data exploration in Elixir
Datamancer - A dataframe library with a dplyr like API
dataiter - Python classes for data manipulation
forcats - ππππ: tools for working with categorical variables (factors)
ggplot2-book - ggplot2: elegant graphics for data analysis
cheatsheets - Posit Cheat Sheets - Can also be found at https://posit.co/resources/cheatsheets/.
tidyexplain - π€Ήββ Animations of tidyverse verbs using R, the tidyverse, and gganimate
RdplyrSelects