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Run Multiple Large Language Model Predictions Against a Table, or Vectors

1packages depend
8Kdownloads / year
100.0%test coverage
13/13flavors OK

Overview

About

Run multiple 'Large Language Model' predictions against a table. The predictions run row-wise over a specified column. It works using a one-shot prompt, along with the current row's content. The prompt that is used will depend of the type of analysis needed.

Changes in 0.2.0
  • Adds integration with ellmer Chat objects
  • Returns a warning when there are over 4,096 tokens in one or many records

sent to Ollama (#43)

From NEWS.md in the release

Install

Health

CRAN checks
13OK
Slowest check: 1.5 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 0.2.0
READMEYes · 79 wordsVignettesNoNEWSYes · 100% structured · mentions 0.2.0Citation fileNoWebsiteYes · Quarto
Help pages
10 (1 internal)
Examples that run
11%1 run in a plain check · 8 only when donttest examples are enabled (R CMD check --as-cran)
Exported functions with examples
89%
Documented parameters
99%
Return-value docs
100%
Help pages citing references
0%

Downloads

8K
CRAN downloads in the past year
Rank #7,066 · ~22/day · ~667/mo
Daily download trend is not available in this view yet.
44530 days
1.2K90 days
8K1 year
Compare downloads with other packages →
Also on105 r2u7 autocran

Repository

130Stars
10Forks
5Open issues
2Open PRs
1Releases
649Commits
3Commit identities
data-sciencedplyrllmpolarspythonr
649 commits · Last activity 2026-05-21 · +0.8% stars, 30d
Responsiveness
How these are sampled
PRs merged (all time)
100%
Median days to close, 50 most recently updated closed issues
34
Median days to close, 50 most recently updated closed PRs
0

Stars over time

2025-10-13 · 1112026-10-15 · 130
PracticesBeta

6 development-tooling and community-health practices detected across 3 families in the upstream repository

Checks run against github.com/mlverse/mall 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

Docs source (3)
Quarto project

GitHub Pages site last deployed 2026-05-21 · The repository has a site deploy workflow

Coverage (1)
Coverage reporting
How this is detected·Detection ruleset v3 (2026-09-26)

Dependencies

Declared dependencies
11 external dependencies (excludes base and recommended)

Installing mall adds 33 packages (20 with compiled code, 19 MB of source tarballs). Heaviest: promises 3.1 MB, ellmer 3.0 MB, Rcpp 1.8 MB.

Depends (1)
R >= 4.1
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
1direct
0indirect
Imports 1
Depends, Imports or LinkingTo, most downloaded first

Datasets

People & History

People (2)
Author, Maintainer since 0.1.0 (2024)
Copyright holder, Funder
Releases (2)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • 0.2.0Latest
    record
    2025-08-18 · current release · diff ↗
  • R
    R 4.5.0 released · 2025-04-11
  • 0.1.0
    record
    2024-10-24
  • R
    R 4.4.0 released · 2024-04-24

Package metadata

First published
2024-10-24
Total releases
2 / 2 yrs
License
MIT + file LICENSE OSI
Minimum R
≥ 4.1
Bundled data
0.3 KB / 1 file
Download size
54 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("mall")
Ruiz, E., & Posit Software, PBC. (2025). mall: Run Multiple Large Language Model Predictions Against a Table, or Vectors (Version 0.2.0) [Computer software]. https://doi.org/10.32614/CRAN.package.mall

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.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for mall version 0.2.0 [Data set]. HJJB, LLC. Data release v2026-10-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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