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condformat vs TidyDensity

A side-by-side editorial comparison of condformat and TidyDensity — release velocity, themes, recent moves, and the top alternatives to consider.

Shared themes:r-package

condformat vs TidyDensity: at a glance

FeaturecondformatTidyDensity
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesr-package, table-formatting, test-coverage, maintenance-debtstatistical-distributions, random-generation, parameter-estimation, tidyverse
Last editorial update4h ago52m ago
WebsiteVisit →Visit →

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.

Read the full condformat trajectory →

What is TidyDensity?

A distribution catalogue that grows by one family at a time, and rarely breaks anything.

TidyDensity generates tidy-format random data from statistical distributions, with parameter estimation, AIC calculation, summary tables and automatic plotting for each one. Its releases follow a fixed template — breaking changes, new features, minor fixes — and the breaking section is usually empty. Growth comes distribution by distribution: Bernoulli, Burr, triangular, chi-square, zero-truncated negative binomial and others each arrive with a matching set of param_estimate, aic and stats_tbl helpers.

Read the full TidyDensity trajectory →

condformat vs TidyDensity: editorial side-by-side

C
condformat
ANALYTICS
0.0

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.

T
TidyDensity
ANALYTICS
0.0

A distribution catalogue that grows by one family at a time, and rarely breaks anything.

◆ Current state

TidyDensity generates tidy-format random data from statistical distributions, with parameter estimation, AIC calculation, summary tables and automatic plotting for each one. Its releases follow a fixed template — breaking changes, new features, minor fixes — and the breaking section is usually empty. Growth comes distribution by distribution: Bernoulli, Burr, triangular, chi-square, zero-truncated negative binomial and others each arrive with a matching set of param_estimate, aic and stats_tbl helpers.

◆ Where it's heading

The package is filling out a matrix rather than changing shape — every new distribution gets the same four or five companion functions, so the surface grows predictably and the design does not. What variation exists comes from utilities that work across distributions: MCMC sampling, bootstrap helpers, time series conversion, distribution comparison. The two genuine breaking changes in this window were both internal reworks, moving generation onto data.table and rewriting quantile normalization for speed.

◆ Prediction

The established pattern of adding a distribution with its full helper set is the most likely continuation. Recent releases have been small, suggesting the catalogue is approaching the distributions its author considers worth covering.

Alternatives to condformat and TidyDensity

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 TidyDensity.

See all condformat alternatives → · See all TidyDensity alternatives →

Recent activity from condformat and TidyDensity

Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.

  1. 1mo agocondformatEnds a three-year gap with a 20-PR fix and coverage sweep
  2. 11mo agoTidyDensityquantile_normalize rewritten, changing its output
  3. 1y agoTidyDensityDocumentation corrections for two distribution functions
  4. 2y agoTidyDensityZero-truncated distributions and AIC helpers added in bulk
  5. 2y agoTidyDensityMCMC sampling and quantile normalization join the utilities
  6. 2y agoTidyDensityGeneration moves to data.table; native pipe raises the R floor
  7. 2y agoTidyDensityDistributions convertible to time series objects
  8. 2y agocondformatDocumentation fixes and internal S3 method registration
  9. 3y agocondformatcondformat2grob() gains a draw argument for composite figures
  10. 6y agocondformatDrops the lazyeval API and replaces xlsx with openxlsx
  11. 7y agocondformatAdds bar, bold and color rules plus grob rendering
  12. 8y agocondformatIntroduces the tidy-evaluation API alongside the old one

Frequently asked questions

What is the difference between condformat and TidyDensity?

Both compete on the same themes — r-package — within Analytics. condformat and TidyDensity 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 TidyDensity?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. condformat and TidyDensity 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 TidyDensity?

Top TidyDensity alternatives in Analytics are ranked by recent ship velocity. Browse the "TidyDensity alternatives" section above for the current picks, or visit /alternatives/tidydensity for the full list with editorial commentary on each.