Cache Objects in Disk or Memory
Overview
Reuse objects with a long processing time either by storing those in disk or memory. Uses caching to identify R objects (e.g., data frames, plots, etc.) and allows repeated access to those. Created with the specific goal of skipping the waiting time for summary tables obtained from large 'SQL' tables. It is extensible to other uses, such as caching plots in 'Tabler' dashboards to reduce waiting times.
Install
Health
- OK13 OKNow
- OK6 OK2026-08-08
Documentation
- Help pages
- 6 (1 internal)includes a package overview page
- Examples that run
- 100%2 run in a plain check
- Exported functions with examples
- 40%
- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
- 0%
Downloads
Repository
Stars over time
3 development-tooling and community-health practices detected across 3 families in the upstream repository
Checks run against github.com/pachadotdev/tinycache on 2026-10-11.
The repository owner accepts GitHub Sponsors
GitHub Pages site last deployed 2026-07-31
Dependencies
Installing tinycache adds 1 package (0 with compiled code, 203 KB of source tarballs). Heaviest: cpp4r 203 KB.
Code & Tests
People & History
- 0.1Latestfirst seen 2026-08-07 · current release
- RR 4.6.0 released · 2026-04-24
Package metadata
- First seen
- 2026-08-07
- Total releases
- 1 / 1 yrs
- License
- Apache License 2.0 OSI
- Minimum R
- ≥ 4.0.0
- Download size
- 10 KB
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("tinycache")This package has no citation file, so citation() returns this entry built from DESCRIPTION.
Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-10-19, which the citation names so these numbers can be found later. More on citing and the projects behind them.