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tidyposterior vs writexl

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

tidyposterior vs writexl: at a glance

Featuretidyposteriorwritexl
SectorAnalyticsAnalytics
Velocity score0.06.3
Sparks · 30d01
Top themestidymodels, bayesian-analysis, model-comparison, maintenance-modexlsx, libxlsxwriter, cell-formatting, major-version
Last editorial update1h ago54m ago
WebsiteVisit →Visit →

What is tidyposterior?

A finished Bayesian model-comparison package in pure maintenance mode

tidyposterior compares model performance using Bayesian resampling analysis, and it reached its intended shape years ago. Every release since 1.0.0 has been maintenance: a broken test under R-devel, a maintainer email change, and most recently compatibility with an upcoming ggplot2 release plus the base-pipe transition. The substantive API decisions — autoplot() over ggplot() methods, tibble returns from contrast_models() — were settled in the 0.x series.

Read the full tidyposterior trajectory →

What is writexl?

writexl spent nine years refusing to do formatting, then shipped all of it in 2.0.0.

For most of its history writexl was a deliberately minimal wrapper: bump the vendored libxlsxwriter, handle NA and Date coercion correctly, support a list of data frames for multiple sheets, and nothing else. 2.0.0, released August 2026, changes that — near-full libxlsxwriter coverage, cell/worksheet/workbook formatting, cell comments, an `xl_cell_general` class carrying value, formula and hyperlink, a cell-by-cell refactor, libxlsxwriter 1.2.4, and memory-safety work. It landed the same day as 1.5.4, a typo fix on the old line.

Read the full writexl trajectory →

tidyposterior vs writexl: editorial side-by-side

T
tidyposterior
ANALYTICS
0.0

A finished Bayesian model-comparison package in pure maintenance mode

◆ Current state

tidyposterior compares model performance using Bayesian resampling analysis, and it reached its intended shape years ago. Every release since 1.0.0 has been maintenance: a broken test under R-devel, a maintainer email change, and most recently compatibility with an upcoming ggplot2 release plus the base-pipe transition. The substantive API decisions — autoplot() over ggplot() methods, tibble returns from contrast_models() — were settled in the 0.x series.

◆ Where it's heading

The package tracks its dependencies rather than developing on its own line, and the dependencies do the moving: rstanarm API changes, dplyr 1.0.0, testthat 3e, ggplot2. Its integration surface widened once, when perf_mod() gained methods for tuning parameter objects from tune, finetune, and workflowsets, and has been stable since. This is what a completed package in an active ecosystem looks like.

◆ Prediction

Expect the next release to be triggered by an upstream change rather than by anything tidyposterior wants to do differently.

W
writexl
ANALYTICS
6.3

writexl spent nine years refusing to do formatting, then shipped all of it in 2.0.0.

◆ Current state

For most of its history writexl was a deliberately minimal wrapper: bump the vendored libxlsxwriter, handle NA and Date coercion correctly, support a list of data frames for multiple sheets, and nothing else. 2.0.0, released August 2026, changes that — near-full libxlsxwriter coverage, cell/worksheet/workbook formatting, cell comments, an `xl_cell_general` class carrying value, formula and hyperlink, a cell-by-cell refactor, libxlsxwriter 1.2.4, and memory-safety work. It landed the same day as 1.5.4, a typo fix on the old line.

◆ Where it's heading

The package has changed category. Its selling point was being the dependency-free, opinion-free way to get a data frame into xlsx; 2.0.0 makes it a formatting-capable writer that now compares itself against openxlsx2 in its own test suite. The cell-by-cell refactor is what made that possible and is also the largest structural change in the package's history. Note that a single contributor drove essentially all of it.

◆ Prediction

Expect follow-up releases fixing edge cases in the new formatting and comment APIs — the cell-by-cell rewrite is too large to land clean, and the 2.0.0 notes already mention an off-by-one in date columns.

Alternatives to tidyposterior and writexl

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 tidyposterior or writexl.

See all tidyposterior alternatives → · See all writexl alternatives →

Recent activity from tidyposterior and writexl

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

  1. 8d agowritexlwritexl 2.0.0 adds formatting, comments and full libxlsxwriter coverage
  2. 8d agowritexlwritexl 1.5.4 fixes a documentation typo
  3. 1y agotidyposteriortidyposterior 1.0.1.9000 prepares for an upcoming ggplot2 release
  4. 2y agotidyposteriortidyposterior 1.0.1 fixes a test broken under R-devel
  5. 4y agotidyposteriortidyposterior 1.0.0 modernizes internals to pivot_longer and testthat 3e
  6. 5y agowritexlwritexl 1.4.0 updates libxlsxwriter to 1.0.3
  7. 5y agotidyposteriortidyposterior 0.1.0 adds perf_mod() methods for tune and workflowsets
  8. 6y agotidyposteriortidyposterior 0.0.3 returns tibbles and adds a formula override
  9. 6y agowritexlwritexl 1.2 fixes NA in formulas and hyperlinks
  10. 7y agowritexlwritexl 1.1 fixes NA strings and bit64 coercion
  11. 7y agotidyposteriortidyposterior 0.0.2 removes example RData files for CRAN
  12. 8y agowritexlwritexl 1.0 writes Date values as datetimes

Frequently asked questions

What is the difference between tidyposterior and writexl?

They serve adjacent needs but don't currently overlap on shipped themes. writexl is currently shipping more aggressively (velocity 6.3 vs 0.0), with 1 editorial sparks in the last 30 days against 0. See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.

Is tidyposterior better than writexl?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. writexl is currently shipping more aggressively (velocity 6.3 vs 0.0), with 1 editorial sparks in the last 30 days against 0. For your specific use case, the alternatives sections above list other Analytics products to evaluate alongside.

What are the best alternatives to tidyposterior?

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

What are the best alternatives to writexl?

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