Docker Compose Example with Shiny Apps
☆15Aug 23, 2022Updated 3 years ago
Alternatives and similar repositories for docker-compose-shiny-example
Users that are interested in docker-compose-shiny-example are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- An R package for Neural Nets created using nnlib2☆13Mar 5, 2025Updated last year
- A toolkit for working year-quarter and year-month dates☆15Nov 20, 2024Updated last year
- Memory efficient clustering in R for large datasets☆22Aug 22, 2022Updated 3 years ago
- Bash script for R users in Linux Mint and Ubuntu☆17Apr 12, 2026Updated 2 months ago
- Implement MDCEV model in R using Stan☆13May 12, 2026Updated last month
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- A terribly-simple data base for time series☆14Mar 25, 2026Updated 3 months ago
- Rcpp Bindings to FastAD Automatic Differentiation☆13Jan 19, 2026Updated 5 months ago
- Import Excel binary (.xlsb) spreadsheets into R☆21Mar 7, 2024Updated 2 years ago
- Containerised instance of RStudio, installed with the Tidyverse collection of packages.☆33Dec 11, 2020Updated 5 years ago
- Encode Categorical Features (unmaintained)☆32Nov 5, 2022Updated 3 years ago
- ☆11Mar 25, 2025Updated last year
- daily report of @arkinvest ETF activity + data collection☆27May 11, 2021Updated 5 years ago
- a package to collapse the outputs of CARET's confusion matrix for storage in database tables☆16Jun 6, 2024Updated 2 years ago
- Open Trade Statistics Shiny Dashboard☆37Oct 30, 2025Updated 7 months ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- opinionated, lightweight logging for R☆19Mar 19, 2026Updated 3 months ago
- Modelling with Tidymodels and Parsnip - A Tidy Approach to a Classification Problem