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Odiffr

Fast pixel-by-pixel image comparison for R, powered by odiff.

Features

• Fast: odiff is ~6x faster than ImageMagick, optimised with SIMD (SSE2, AVX2, AVX512, NEON)
• Cross-platform: Windows, macOS (Intel & Apple Silicon) and Linux
• Flexible inputs: image files, magick-image objects, plots (ggplot2, base and grid graphics) and PDF pages
• Configurable: threshold, antialiasing detection and ignore regions
• Testing: testthat expectations, snapshot testing with expect_snapshot_image(), and a compare function for shinytest2 screenshots
• Batch workflows: compare directories, approve changes, and report results as HTML, Markdown (GitHub job summaries) or JUnit XML
• Validated environments: pinnable binary and machine-readable audit records

Installation

Install odiffr:

install.packages("odiffr")

# Or the development version from GitHub
# install.packages("pak")
pak::pak("BenWolst/odiffr")

Odiffr requires the odiff binary (>= 4.1.1). The easiest way to get it is from R, which downloads the binary for your platform to your user cache (no Node.js needed):

odiffr::install_odiff()

In interactive sessions, odiffr also offers to do this the first time odiff is needed; it never downloads anything without asking. Alternatively, install odiff system-wide:

# npm (cross-platform)
npm install -g odiff-bin

# Or download binaries from https://github.com/dmtrKovalenko/odiff/releases

Quick Start

library(odiffr)

result <- compare_images("baseline.png", "current.png", diff_output = "diff.png")
result$match
#> [1] FALSE
result$diff_percentage
#> [1] 2.45

Comparing Images

# Adjust sensitivity (0-1, lower = stricter) and ignore antialiased pixels
compare_images("img1.png", "img2.png", threshold = 0.05, antialiasing = TRUE)

# Fail immediately if dimensions differ
compare_images("img1.png", "img2.png", fail_on_layout = TRUE)

# Ignore areas with dynamic content, e.g. timestamps
compare_images("img1.png", "img2.png",
  ignore_regions = list(
    ignore_region(0, 0, 200, 50),     # header
    ignore_region(0, 500, 800, 600)   # footer
  )
)

# magick-image objects and plots work too
compare_images(magick::image_read("baseline.png"), "current.png")

# Low-level interface with every odiff option
odiff_run("img1.png", "img2.png", diff_lines = TRUE)

When a comparison fails, plot(odiff_run(...)) shows the baseline, current and diff images side by side, and diff_image() returns the diff as a magick image or raster.

Testing

Expectations

test_that("dashboard renders correctly", {
  expect_images_match("screenshots/current.png", "screenshots/baseline.png")
})

test_that("plot matches its baseline", {
  p <- ggplot2::ggplot(mtcars, ggplot2::aes(wt, mpg)) + ggplot2::geom_point()
  expect_images_match(p, test_path("baselines/scatter.png"),
                      plot_options = plot_options(width = 6, height = 4))
})

Plots (ggplot objects, functions that draw a plot, and recorded plots) are rendered to PNG with ragg if installed. On failure, a diff image is saved to tests/testthat/_odiffr/.

Snapshot testing

expect_snapshot_image() lets testthat manage the baselines in tests/testthat/_snaps/, while odiff does the comparison, so differences below the threshold don’t fail:

test_that("plots are stable", {
  p <- ggplot2::ggplot(mtcars, ggplot2::aes(wt, mpg)) + ggplot2::geom_point()
  expect_snapshot_image(p)
  expect_snapshot_image(function() hist(mtcars$mpg), name = "mpg-hist",
                        preset = "screenshot")
})

# After an intended change
testthat::snapshot_review()
testthat::snapshot_accept()

Like other file snapshots, these are skipped on CRAN. odiff_preset() gives calibrated settings ("strict", "default", "screenshot", "cross_platform"). On CI, snapshot_report() writes an HTML, Markdown or JUnit report of all changed snapshots.

Shiny apps (shinytest2)

Use odiff for shinytest2 screenshots to tolerate browser antialiasing noise and get a diff image when a screenshot changes:

app$expect_screenshot(compare = compare_file_odiff(preset = "screenshot"))

See vignette("shinytest2", package = "odiffr"), and vignette("web-pages", package = "odiffr") for web pages and htmlwidgets.

Batch Comparison and Reports

# Compare two directories (matched by relative path)
results <- compare_image_dirs("baseline/", "current/", recursive = TRUE,
                              diff_dir = "diffs/")
summary(results)
failed_pairs(results)

# HTML report with baseline, current and diff thumbnails
batch_report(results, "diffs/report.html", images = "all", embed = TRUE)

# Or both steps in one call
compare_dirs_report("baseline/", "current/")

# Accept intended changes as the new baselines
approve_changes(results, dry_run = TRUE)
approve_changes(results)

Files missing from current/ are reported as failing "missing" rows, and a pair that can’t be compared becomes an "error" row with the message in the error column. compare_images_batch() compares an explicit list of pairs, optionally in parallel.

PDFs

res <- compare_pdfs("before/report.pdf", "after/report.pdf", dpi = 150,
                    diff_dir = "pdf-diffs")
failed_pairs(res)[, c("page", "reason", "diff_percentage")]

# Every PDF in two directories, e.g. outputs before/after an R upgrade
res <- compare_pdf_dirs("outputs-old/", "outputs-new/", diff_dir = "pdf-diffs")

Requires the pdftools package. See vignette("pdf-outputs", package = "odiffr").

CI

use_odiffr_ci() adds a ready-to-use GitHub Actions workflow to your package (.github/workflows/odiffr.yaml) that installs odiff with install_odiff(), runs your tests, summarises changed image snapshots with snapshot_report() on the job summary page and uploads the new snapshots and diff images when tests fail:

odiffr::use_odiffr_ci()

Batch results can be written in formats CI systems display natively:

      - name: Compare images
        run: |
          library(odiffr)
          results <- compare_image_dirs("baseline/", "current/", diff_dir = "diffs/")
          batch_markdown(results)                    # GitHub job summary
          batch_junit(results, "odiffr-junit.xml")   # test report
          batch_report(results, "diffs/report.html", images = "all", embed = TRUE)
          if (any(!results$match)) stop("Visual regression detected!")
        shell: Rscript {0}

      - name: Upload diffs
        if: failure()
        uses: actions/upload-artifact@v4
        with:
          name: visual-diffs
          path: diffs/

Binary Management

odiff_available()   # is odiff installed?
odiff_info()        # path, version and source
install_odiff()     # download odiff to the user cache
odiffr_update()     # same, lower-level (e.g. to update between releases)

# Use a specific binary
options(odiffr.path = "/path/to/odiff")

odiff is found via options(odiffr.path), then the system PATH, then the binary downloaded by install_odiff(). For npm installs (odiff >= 4.4), odiffr calls the native binary directly rather than the Node.js launcher on the PATH, which makes each comparison around 5x faster; set options(odiffr.resolve_npm = FALSE) to disable this.

Supported Formats

Cross-format comparison is supported (e.g. JPEG against PNG). odiff does not accept the .tif extension.

For Validated Environments

• Pinnable: lock to a specific validated binary with options(odiffr.path = ...)
• Audit records: audit_record() writes a JSON or CSV record of comparisons, with input and output file hashes, the odiff version and binary hash, parameters, platform and a UTC timestamp
• Base R core: no non-base R package dependencies for core functions

options(odiffr.path = "/validated/bin/odiff-4.5.0")

result <- odiff_run("baseline.png", "current.png", "diff.png", threshold = 0.05)
audit_record(result, file = "audit.json")

Performance

odiff is approximately 6x faster than ImageMagick for pixel comparison, thanks to SIMD optimisations. On x86_64 systems with AVX-512, pass enable_asm = TRUE to odiff_run() for ~12% faster comparisons.

Related

• odiff - the underlying CLI tool
• vdiffr - SVG-based snapshot testing for ggplot2 and grid graphics (complements odiffr’s pixel-based testing)
• shinytest2 - testing Shiny apps
• magick - R wrapper for ImageMagick

License

MIT

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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