svglite

A lightweight svg graphics device for R

https://github.com/r-lib/svglite

Science Score: 26.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
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  • Scientific vocabulary similarity
    Low similarity (17.1%) to scientific vocabulary

Keywords

r svg

Keywords from Contributors

package-creation setup tidy-data visualisation shiny excel devtools r-packages c-plus-plus-20 rcpp
Last synced: 10 months ago · JSON representation

Repository

A lightweight svg graphics device for R

Basic Info
Statistics
  • Stars: 195
  • Watchers: 9
  • Forks: 39
  • Open Issues: 5
  • Releases: 13
Topics
r svg
Created over 13 years ago · Last pushed about 1 year ago
Metadata Files
Readme Changelog Code of conduct

README.Rmd

---
output: github_document
---



```{r}
#| include: false
knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>",
  fig.path = "man/figures/README-",
  out.width = "100%"
)
```

# svglite 



[![R-CMD-check](https://github.com/r-lib/svglite/actions/workflows/R-CMD-check.yaml/badge.svg)](https://github.com/r-lib/svglite/actions/workflows/R-CMD-check.yaml)
[![CRAN Status Badge](http://www.r-pkg.org/badges/version/svglite)](https://cran.r-project.org/package=svglite)
[![Codecov test coverage](https://codecov.io/gh/r-lib/svglite/graph/badge.svg)](https://app.codecov.io/gh/r-lib/svglite)


svglite is a graphics device that produces clean svg output, suitable for use on the web, or hand editing. Compared to the built-in `svg()`, svglite produces smaller files, and leaves text as is, making it easier to edit the result after creation. It also supports multiple nice features such as embedding of web fonts.

## Installation

svglite is available on CRAN using `install.packages("svglite")`. You can install the development version from github with:

```{r}
#| eval: false
# install.packages("pak")
pak::pak("r-lib/svglite")
```

## Motivation

The grDevices package bundled with R already comes with an SVG device (using the eponymous `svg()` call). The development of svglite is motivated by the following considerations:

### Speed

`svglite()` is considerably faster than `svg()`. If you are rendering SVGs dynamically to serve over the web this can be quite important:

```{r}
#| message: false
library(svglite)

x <- runif(1e3)
y <- runif(1e3)
tmp1 <- tempfile()
tmp2 <- tempfile()

svglite_test <- function() {
  svglite(tmp1)
  plot(x, y)
  dev.off()
}
svg_test <- function() {
  svg(tmp2, onefile = TRUE)
  plot(x, y)
  dev.off()
}

bench::mark(svglite_test(), svg_test(), min_iterations = 250, check = FALSE)
```

### File size

Another point with high relevance when serving SVGs over the web is the size. `svglite()` produces much smaller files

```{r}
# svglite
fs::file_size(tmp1)

# svg
fs::file_size(tmp2)
```

In both cases, compressing to make `.svgz` (gzipped svg) is worthwhile. svglite supports compressed output directly which will be triggered if the provided path has a `".svgz"` (or `".svg.gz"`) extension.

```{r}
tmp3 <- tempfile(fileext = ".svgz")
svglite(tmp3)
plot(x, y)
invisible(dev.off())

# svglite - svgz
fs::file_size(tmp3)
```

### Editability

One of the main reasons for the size difference between the size of the output of `svglite()` and `svg()` is the fact that `svglite()` encodes text as styled `` elements, whereas `svg()` converts the glyphs to polygons and renders these. The latter approach means that the output of `svg()` does not require the font to be present on the system that displays the SVG but makes it more or less impossible to edit the text after the fact. svglite focuses on providing maximal editability of the output, so that you can open up the result in a vector drawing program such as Inkscape or Illustrator and polish the output if you so choose.

### Font support

svglite uses systemfonts for font discovery which means that all installed fonts on your system is available to use. The systemfonts foundation means that fonts registered with `register_font()` or `register_variant()` will also be available, as will fonts added with `add_fonts()` and `require_font()`. If any of these contains non-standard weights or OpenType features (e.g. ligatures or tabular numerics) this will be correctly encoded in the style block. systemfonts also allows you to embed webfont `@imports` in your file to ensure that the file looks as expected even on systems without the used font installed. Using `systemfonts::fonts_as_import()` you can generate these imports automatically, optionally embedding the font data directly in the file.

## Building svglite

_This section is only relevant for building svglite from scratch, as opposed to installing from a pre-built package on CRAN._

Building svglite requires the system dependency libpng. As svglite doesn't have any build-time configuration, your R configuration must point to libpng's `include` and `lib` folders.

For instance on macOS, install libpng with:

```sh
brew install libpng
```

And make sure your `~/.R/Makevars` knows about Homebrew's `include` and `lib` folders where libpng should now be installed. On arm64 hardware, this would be:

```mk
CPPFLAGS += -I/opt/homebrew/include
LDFLAGS += -L/opt/homebrew/lib
```

## Code of Conduct

Please note that the svglite project is released with a [Contributor Code of Conduct](https://svglite.r-lib.org/CODE_OF_CONDUCT.html). By contributing to this project, you agree to abide by its terms.

Owner

  • Name: R infrastructure
  • Login: r-lib
  • Kind: organization

GitHub Events

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  • Issues event: 26
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Last Year
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  • Issue comment event: 30
  • Push event: 46
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Committers

Last synced: about 1 year ago

All Time
  • Total Commits: 468
  • Total Committers: 20
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  • Development Distribution Score (DDS): 0.669
Past Year
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Top Committers
Name Email Commits
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timelyportfolio k****l@t****m 13
David Gohel d****l@a****r 10
mdecorde m****e@m****) 4
Jeroen Ooms j****s@g****m 4
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Matthieu Decorde m****e@m****) 3
Michael Chirico m****4@g****m 3
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Jim Hester j****r@g****m 1
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Issues and Pull Requests

Last synced: 10 months ago

All Time
  • Total issues: 84
  • Total pull requests: 48
  • Average time to close issues: 8 months
  • Average time to close pull requests: about 2 months
  • Total issue authors: 53
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  • Average comments per issue: 2.46
  • Average comments per pull request: 1.13
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  • Bot issues: 0
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Past Year
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  • Average comments per issue: 1.09
  • Average comments per pull request: 0.62
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Top Authors
Issue Authors
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Pull Request Authors
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Top Labels
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upkeep (2) tidy-dev-day :nerd_face: (1) feature (1)
Pull Request Labels

Packages

  • Total packages: 2
  • Total downloads:
    • cran 324,863 last-month
  • Total docker downloads: 1,097,490
  • Total dependent packages: 71
    (may contain duplicates)
  • Total dependent repositories: 295
    (may contain duplicates)
  • Total versions: 20
  • Total maintainers: 1
cran.r-project.org: svglite

An 'SVG' Graphics Device

  • Versions: 14
  • Dependent Packages: 64
  • Dependent Repositories: 279
  • Downloads: 324,863 Last month
  • Docker Downloads: 1,097,490
Rankings
Dependent repos count: 1.0%
Downloads: 1.1%
Dependent packages count: 1.5%
Forks count: 1.8%
Stargazers count: 2.4%
Average: 4.2%
Docker downloads count: 17.3%
Maintainers (1)
Last synced: 10 months ago
conda-forge.org: r-svglite
  • Versions: 6
  • Dependent Packages: 7
  • Dependent Repositories: 16
Rankings
Dependent packages count: 8.0%
Dependent repos count: 8.8%
Average: 18.0%
Forks count: 27.6%
Stargazers count: 27.7%
Last synced: 10 months ago

Dependencies

DESCRIPTION cran
  • R >= 3.0.0 depends
  • systemfonts >= 1.0.0 imports
  • covr * suggests
  • fontquiver >= 0.2.0 suggests
  • htmltools * suggests
  • knitr * suggests
  • rmarkdown * suggests
  • testthat * suggests
  • xml2 >= 1.0.0 suggests
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