nflreadr
The nflverse data loader, whose releases are dictated by the NFL calendar and CRAN's archive policy
Comparison · Analytics
condformat vs relialearnr
A side-by-side editorial comparison of condformat and relialearnr — release velocity, themes, recent moves, and the top alternatives to consider.
Shared themes:r-package
condformat vs relialearnr: at a glance
What is condformat?
A dormant table-formatting package woken by a 20-PR correctness and coverage sweep
condformat applies conditional formatting rules to R data frames and renders them to HTML, LaTeX, Excel and grob output. After 0.10.1 in 2023 it went quiet for nearly three years. Version 0.11.0 breaks that silence with a single-maintainer sweep of roughly twenty pull requests: CI modernized across R-devel, release and oldrel; lockcells fixed for LaTeX and grob output; a rule_fill_bar() crash at zero width; theme_htmlTable() no longer dropping chained arguments; and a .col pronoun added across all rules.
What is relialearnr?
The teaching arm of an R reliability suite keeps pace with whatever its analysis siblings ship.
ReliaLearnR is a set of interactive learnr tutorials for reliability engineering, covering life data analysis, reliability testing, RAM concepts, reliability block diagrams, and repairable systems, each with code exercises and quiz questions. It was WeibullR.learnr until the start of 2026, when the rename and a set of shorter function names arrived together. A companion book now supplements the interactive material.
condformat vs relialearnr: editorial side-by-side
condformat
0.0ANALYTICS
A dormant table-formatting package woken by a 20-PR correctness and coverage sweep
◆ Current state
condformat applies conditional formatting rules to R data frames and renders them to HTML, LaTeX, Excel and grob output. After 0.10.1 in 2023 it went quiet for nearly three years. Version 0.11.0 breaks that silence with a single-maintainer sweep of roughly twenty pull requests: CI modernized across R-devel, release and oldrel; lockcells fixed for LaTeX and grob output; a rule_fill_bar() crash at zero width; theme_htmlTable() no longer dropping chained arguments; and a .col pronoun added across all rules.
◆ Where it's heading
This is a maintenance-debt payoff rather than a change of direction. The bulk of 0.11.0 is test coverage — render_gtable, knit_print, theme_grob, render_xlsx and rule_fill_bar all gained tests — which reads as a maintainer establishing a safety net before touching anything further. The .col pronoun and scalar recycling in the text rules are the only real API additions, and both smooth inconsistencies rather than extend the rule vocabulary.
◆ Prediction
With coverage and CI now in place, the next release is more likely to extend rule or output-format support than to continue with fixes, though the three-year gap makes cadence hard to call from these entries alone.
relialearnr
0.0ANALYTICS
The teaching arm of an R reliability suite keeps pace with whatever its analysis siblings ship.
◆ Current state
ReliaLearnR is a set of interactive learnr tutorials for reliability engineering, covering life data analysis, reliability testing, RAM concepts, reliability block diagrams, and repairable systems, each with code exercises and quiz questions. It was WeibullR.learnr until the start of 2026, when the rename and a set of shorter function names arrived together. A companion book now supplements the interactive material.
◆ Where it's heading
The tutorials track the maintainer's analysis packages rather than leading them: repairable systems and mean cumulative function teaching material appeared once the modelling functions for them existed elsewhere in the suite, and the reliability testing tutorial followed the same pattern earlier. Recent work has been about depth rather than coverage — interactive parameter sliders, goodness-of-fit sections, model comparison exercises, more quiz questions per topic. The rename to ReliaLearnR was part of the same suite-wide repositioning away from Weibull-specific branding that the plotting package made.
◆ Prediction
On the established pattern, the next tutorials will follow whatever the analysis packages shipped most recently; the entries do not indicate whether the newer tool-server interfaces will get teaching material of their own.
Alternatives to condformat and relialearnr
Other Analytics products tracked by Sparkpulse, ranked by recent ship velocity. Each card links to a full editorial trajectory and lets you pivot into a head-to-head comparison with either condformat or relialearnr.
susier
Fine-mapping workhorse susieR spends its releases hunting null-effect trimming bugs
UCell
A rank-based gene signature scorer that has grown by adapting to whatever object format single-cell R uses next
detectseparation
A diagnostic package that generalized past its own name, then learned to say which kind of separation it found
brglm2
A bias-reduction package reaches 1.0 by adding an estimator built for high-dimensional logistic regression
bayestools
The JAGS toolkit under RoBMA, shipping the standardization machinery its downstream rewrite needed
See all condformat alternatives → · See all relialearnr alternatives →
Recent activity from condformat and relialearnr
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 1mo agocondformatEnds a three-year gap with a 20-PR fix and coverage sweep
- 2mo agorelialearnrBlock diagram and repairable systems tutorials added
- 7mo agorelialearnrReliaLearnR 0.3.1
- 7mo agorelialearnrRenamed to ReliaLearnR, with shorter tutorial launchers
- 1y agorelialearnrWeibullR.learnr 0.2.1
- 1y agorelialearnrReliability testing tutorial covering growth analysis and ALT
- 2y agocondformatDocumentation fixes and internal S3 method registration
- 3y agorelialearnrFirst release: the life data analysis tutorial
- 3y agocondformatcondformat2grob() gains a draw argument for composite figures
- 6y agocondformatDrops the lazyeval API and replaces xlsx with openxlsx
- 7y agocondformatAdds bar, bold and color rules plus grob rendering
- 8y agocondformatIntroduces the tidy-evaluation API alongside the old one
Frequently asked questions
What is the difference between condformat and relialearnr?
Both compete on the same themes — r-package — within Analytics. condformat and relialearnr are shipping at a similar cadence (velocity 0.0 vs 0.0, both within Sparkpulse's "active" band). See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.
Is condformat better than relialearnr?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. condformat and relialearnr are shipping at a similar cadence (velocity 0.0 vs 0.0, both within Sparkpulse's "active" band). For your specific use case, the alternatives sections above list other Analytics products to evaluate alongside.
What are the best alternatives to condformat?
Top condformat alternatives in Analytics are ranked by recent ship velocity. Browse the "condformat alternatives" section above for the current picks, or visit /alternatives/condformat for the full list with editorial commentary on each.
What are the best alternatives to relialearnr?
Top relialearnr alternatives in Analytics are ranked by recent ship velocity. Browse the "relialearnr alternatives" section above for the current picks, or visit /alternatives/relialearnr for the full list with editorial commentary on each.