vapourlang / vapourLinks
Typed superset of R
☆203Updated last year
Alternatives and similar repositories for vapour
Users that are interested in vapour are comparing it to the libraries listed below
Sorting:
- ☆243Updated this week
- The duckdb R package☆200Updated this week
- Minimalist Async Evaluation Framework for R☆294Updated last week
- A safer complement of R, the legendary programming language for statistic and datasciences !☆101Updated last week
- Turn R scripts into terminal screencasts☆242Updated last week
- More efficient tidyverse code, using polars in the background☆218Updated last week
- Display Idiomatic Code to Construct Most R Objects☆172Updated last week
- Support Types for Variables, Arguments, and Return Values☆180Updated 3 weeks ago
- 🖥️ Web framework for R☆231Updated last week
- A distributed worker launcher☆147Updated last month
- Simple, lightweight orchestrator for R pipelines☆129Updated last month
- ☆219Updated 2 months ago
- A collection of LLM assistants for R☆137Updated this week
- Reshaping and navigation commands for R code☆221Updated last year
- Reduce the size of model objects saved to disk☆137Updated this week
- An experimental reimagining of R☆142Updated last year
- Chat with your data in R and Python☆150Updated this week
- A re-styled version of the R manuals☆97Updated last week
- A fluent code explorer for R. 🔍☆105Updated 2 years ago
- A drop-in replacement for dplyr, powered by DuckDB for speed.☆367Updated last week
- ☆115Updated last week
- A collection of Rfast functions for data analysis. Note 1: The vast majority of the functions accept matrices only, not data.frames. No…☆157Updated 2 months ago
- Fast and versatile argument checks☆287Updated 3 months ago
- paint the data☆144Updated 2 years ago
- R package to make a data frame messy and untidy.☆153Updated 3 months ago
- ☆204Updated 2 years ago
- Markdown Parser and Renderer for R Graphics☆97Updated 2 months ago
- Chat UI component for Shiny☆118Updated last week
- Inflate your package from a simple flat Rmd / Qmd☆170Updated 4 months ago
- Drop down an interactive R or Python console, code editor, and plotting window from the top of your Quarto slides.☆182Updated 2 months ago