R Observatory: Metrics for DALEX version 2.5.4

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

DALEX

2.5.4Package record

moDel Agnostic Language for Exploration and eXplanation

18packages dependsuggested by 11

108.9Kdownloads / year

85.0%test coverage

13/13flavors OK

Overview

About

Maintained by Przemyslaw BiecekCRAN page ↗GitHub ↗Website ↗Issues ↗

Any unverified black box model is the path to failure. Opaqueness leads to distrust. Distrust leads to ignoration. Ignoration leads to rejection. DALEX package xrays any model and helps to explore and explain its behaviour. Machine Learning (ML) models are widely used and have various applications in classification or regression. Models created with boosting, bagging, stacking or similar techniques are often used due to their high performance. But such black-box models usually lack direct interpretability. DALEX package contains various methods that help to understand the link between input variables and model output. Implemented methods help to explore the model on the level of a single instance as well as a level of the whole dataset. All model explainers are model agnostic and can be compared across different models. DALEX package is the cornerstone for 'DrWhy.AI' universe of packages for visual model exploration. Find more details in (Biecek 2018) https://jmlr.org/papers/v19/18-416.html.

Install

R (CRAN)pak (dev)Ubuntu (r2u)Fedora (COPR)openSUSE (OBS)

install.packages("DALEX", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

if (!requireNamespace("pak", quietly = TRUE))
  install.packages("pak", repos = "https://cloud.r-project.org/")
pak::pak("ModelOriented/DALEX")

Development version from ModelOriented/DALEX. Installs pak first if it is not already available.

Release

# enable cranapt (r2u) if it is not already set up, then install
grep -rqs r2u.stat.illinois.edu /etc/apt/sources.list /etc/apt/sources.list.d/ \
  || curl -fsSL https://raw.githubusercontent.com/eddelbuettel/r2u/master/inst/scripts/add_cranapt_noble.sh | sudo bash
sudo apt install -y r-cran-dalex

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled. We list this channel from recorded r2u download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

bspm (used by r2u) also needs make: sudo apt install make

# enable the iucar/cran COPR if it is not already present, then install
ls /etc/yum.repos.d/*iucar*cran*.repo >/dev/null 2>&1 \
  || sudo dnf copr enable -y iucar/cran
sudo dnf install -y R-CRAN-DALEX

RPMs from the iucar/cran COPR, rebuilt from CRAN.

For install.packages() integration in R, also: sudo dnf install R-CoprManager

# add the autoCRAN OBS repo (Tumbleweed) if it is missing, then install
zypper -q lr | grep -qi autoCRAN \
  || sudo zypper addrepo https://download.opensuse.org/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/devel:languages:R:autoCRAN.repo
sudo zypper install -y R-DALEX

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed). We list this channel from recorded autoCRAN download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

Health

CRAN checks

13OK

CRAN check page ↗

Slowest check: 4.8 min · r-oldrel-windows-x86_64

Status changes

OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK13 OK2026-07-17
NOTE11 OK, 2 NOTE2026-07-16
OK14 OK2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 2.5.4

README· In the repository, left out of the releaseVignettes· In the repository, left out of the releaseNEWS· In the repository, left out of the releaseCitation fileYes · cites a publicationWebsiteYes · pkgdown

Help pages: 44
Examples that run: 64%16 run in a plain check · 9 only when donttest examples are enabled (R CMD check --as-cran)
Exported functions with examples: 81%
Documented parameters: 98%
Return-value docs: 95%
Help pages citing references: 25%

How these are measured

Downloads

108.9K

CRAN downloads in the past year

Rank #1,396 · ~298/day · ~9.1K/mo

Releases R versions

Daily download trend is not available in this view yet.

6.3K30 days

19.5K90 days

108.9K1 year

Compare downloads with other packages →

Also on2.9K r2u11 autocran4.2K conda_forge123 c2d4u

How downloads are counted

Repository

modeloriented/dalex ↗Organization: ModelOriented

1,489Stars

174Forks

29Open issues

4Open PRs

4Releases

700Commits

28Commit identities

machine-learninginterpretabilitydata-sciencexaiimlmodel-visualizationdalexexplanations

License file reads as GPL-3.0 · 700 commits · Last activity 2026-07-15 · +0.1% stars, 30d

Responsiveness

How these are sampled

PRs merged (all time): 90%
Median days to close, 50 most recently updated closed issues: 6
Median days to close, 50 most recently updated closed PRs: 1

Stars over time

2025-10-19 · 1,4362026-10-14 · 1,489

How these are measured

PracticesBeta

10 development-tooling and community-health practices detected across 6 families in the upstream repository

Checks run against github.com/modeloriented/dalex on 2026-10-11.

Continuous integration (2)

GitHub ActionsR CMD check workflow

The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel

Governance and community (2)

Contributing guideFunding

Funding links: GitHub Sponsors

Docs source (3)

pkgdown

GitHub Pages site last deployed 2023-03-22 · The repository has a site deploy workflow

Coverage (1)

Coverage reporting (Codecov)

Show all practicesHide 2 practices

Lint, format, editor (1)

RStudio project

Git structural (1)

.gitattributes

How this is detected·Detection ruleset v3 (2026-09-26)

Dependencies

Declared dependencies

7 external dependencies (excludes base and recommended)

Installing DALEX adds 30 packages (9 with compiled code, 19 MB of source tarballs). Heaviest: ggplot2 6.0 MB, ingredients 2.4 MB, isoband 1.5 MB.

Depends (1)

R >= 3.5

Imports (4)

ggplot2 iBreakDown ingredients kernelshap

LinkingTo (0)

none

Suggests (4)

gower ranger testthatmethods

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

18direct

1indirect

Depends 1 · Imports 17

Suggested by 11

Show all 29 packagesHide all 29 packages

Depends, Imports or LinkingTo, most downloaded first

DALEXtra auditor localModel modelStudio ceterisParibus fairmodels survex tidysdm EIX shapper h3sdm xaiHydro rSAFE drifter triageR ASML vivo viralx

Suggests, most downloaded first

ingredients iBreakDown lares breakDown fastml live BetaBit mlr3shiny midnight icarm civic.icarm

How these are counted

Code & Tests

Datasets

People & History

People (3)

Przemyslaw Biecek

Author, Maintainer since 0.1.1 (2018)

Hubert Baniecki

Author · added in 1.2.0

Szymon Maksymiuk

Author · added in 0.4.4

Releases (32)

Pick two releases to compare their code metrics.

2.5.4Latest
record
2026-07-15 · current release · diff ↗
R
R 4.6.0 released · 2026-04-24
2.5.3
record
2025-10-16 · diff ↗
2.5.2
record
2025-07-27 · diff ↗ ·
added 7 exports
get_loss_default, get_loss_one_minus_accuracy, get_loss_yardstick, loss_one_minus_accuracy, predict_parts_kernel_shap, predict_parts_kernel_shap_aggreagted, predict_parts_kernel_shap_break_down
R
R 4.5.0 released · 2025-04-11
R
R 4.4.0 released · 2024-04-24
R
R 4.3.0 released · 2023-04-21
2.4.3
record
2023-01-16 · diff ↗ ·
added 5 exports
predict_parts_shap_aggregated, set_theme_dalex, shap_aggregated, theme_default_dalex, theme_vertical_default_dalex
2.4.2
record
2022-06-16 · diff ↗
2.4.1
record
2022-05-21 · diff ↗ ·
added 1 export
loss_yardstick
R
R 4.2.0 released · 2022-04-22
2.4.0
record
2022-02-21 · diff ↗
2.3.0
record
2021-07-28 · diff ↗
2.2.1
record
2021-06-01 · diff ↗
R
R 4.1.0 released · 2021-05-18
2.2.0
record
2021-03-20 · diff ↗

Show 26 earlier eventsHide 26 earlier events

2.1.1
record
2021-02-20 · diff ↗
2.0.1
record
2020-10-26 · diff ↗
2.0
record
2020-09-04 · diff ↗ ·
added 2 exports
theme_ema, theme_ema_vertical
1.3.1.1
record
2020-08-01 · diff ↗ ·
added 2 exports
predict_parts_oscillations_emp, predict_parts_oscillations_uni
1.3.0
record
2020-07-02 · diff ↗ ·
added 1 export
loss_default
1.2.1
record
2020-04-25 · diff ↗
R
R 4.0.0 released · 2020-04-24
1.2.0
record
2020-04-22 · diff ↗
1.0.1
record
2020-02-26 · diff ↗
1.0
record
2020-02-21 · diff ↗ ·
removed 8 exports
feature_response, prediction_breakdown, single_prediction, theme_drwhy_colors, theme_drwhy_colors_break_down, theme_mi2, variable_dropout, variable_response

added 19 exports
feature_importance, individual_diagnostics, individual_profile, model_diagnostics, model_parts, model_prediction, model_profile, predict_diagnostics, predict_parts, predict_parts_break_down, predict_parts_break_down_interactions, predict_parts_oscillations, predict_parts_shap, predict_profile, variable_attribution, variable_effect, variable_effect_accumulated_dependency, variable_effect_partial_dependency, variable_profile
0.4.9
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2019-10-24 · diff ↗ ·
added 3 exports
model_info, update_data, update_label
0.4.7
record
2019-08-25 · diff ↗ ·
added 1 export
loss_one_minus_auc
0.4.4
record
2019-07-06 · diff ↗ ·
added 3 exports
colors_breakdown_drwhy, colors_discrete_drwhy, colors_diverging_drwhy
0.4
record
2019-05-17 · diff ↗ ·
removed 1 export
model_feature_response

added 1 export
feature_response
R
R 3.6.0 released · 2019-04-26
0.3.0
record
2019-03-25 · diff ↗ ·
added 7 exports
install_dependencies, loss_accuracy, model_feature_response, theme_drwhy, theme_drwhy_colors, theme_drwhy_colors_break_down, theme_drwhy_vertical
0.2.7
record
2019-03-03 · diff ↗ ·
added 1 export
loss_cross_entropy
0.2.6
record
2019-01-07 · diff ↗
0.2.5
record
2019-01-02 · diff ↗ ·
added 1 export
yhat
0.2.4
record
2018-08-06 · diff ↗
0.2.3
record
2018-06-13 · diff ↗
0.2.2
record
2018-05-22 · diff ↗ ·
added 1 export
explain.default
R
R 3.5.0 released · 2018-04-23
0.2.0
record
2018-04-05 · diff ↗ ·
added 6 exports
loss_root_mean_square, loss_sum_of_squares, model_performance, prediction_breakdown, variable_importance, variable_response
0.1.1
record
2018-02-28
R
R 3.4.0 released · 2017-04-21

Package metadata

First published: 2018-02-28
Total releases: 32 / 8 yrs
License: GPL
Minimum R: ≥ 3.5
Bundled data: 864 KB / 15 files
Download size: 1.5 MB

Appears in task views

Machine Learning & Statistical Learning Teaching Statistics

Cite

Cite this package

Run in R for the authors' entry:

citation("DALEX")

The package provides a citation file, so citation() returns the authors' own entry.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for DALEX version 2.5.4 [Data set]. HJJB, LLC. Data release v2026-10-19. https://doi.org/10.5281/zenodo.21843040

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.

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