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Manifest-based, transitive-aware dependency conflict detection for R,
built for sandboxed and ephemeral notebook environments (Kaggle, Colab,
Binder) where a full renv lockfile workflow doesn’t
fit.
Hosted notebooks ship a pre-installed package set at fixed versions.
Installing a new package can silently upgrade a dependency that’s
already loaded elsewhere in your session, breaking code downstream with
no install-time error. renv and pak are great
but assume you own and can persist the environment.
depguard fills the narrower gap: lightweight, local-first
checks that work without lockfile ownership.
# install.packages("remotes")
remotes::install_github("sunraycodes/depguard")Snapshot / diff, around an install:
library(depguard)
snap <- dep_snapshot()
install.packages("someNewPackage")
dep_diff(snap)Manifest, declared once per project:
dep_manifest(dplyr = "1.1.4", ggplot2 = "3.5.0")
dep_check()One-shot health check, at the top of a notebook:
dep_healthcheck()Single-package rollback:
dep_fix("stringr", "1.5.0")See vignette("kaggle-colab-workflow") for the full
walkthrough.
dep_check() is local-only by default (no network calls)
and covers transitive dependencies. Pass check_cran = TRUE
to additionally query CRAN’s live metadata. dep_fix()
performs a single-package rollback only; it does not resolve cascading
conflicts – use renv::restore() or pak’s
solver for that.
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.
Health stats visible at Monitor.