rnaturalearth
rnaturalearth finished its sp exit and is now optimising how the data actually arrives.
Comparison · Analytics
hardhat vs writexl
A side-by-side editorial comparison of hardhat and writexl — release velocity, themes, recent moves, and the top alternatives to consider.
hardhat vs writexl: at a glance
What is hardhat?
hardhat keeps adding the contracts tidymodels needs next
hardhat is the infrastructure layer under tidymodels, defining the preprocessing and extraction contracts other packages implement. Its releases read as a list of new generics and vector classes: extract_postprocessor(), extract_fit_time(), extract_tailor(), and a quantile_pred() class for quantile-regression output. The newest release is narrow warning and missing-value handling in mold().
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.
hardhat vs writexl: editorial side-by-side
hardhat
0.0ANALYTICS
hardhat keeps adding the contracts tidymodels needs next
◆ Current state
hardhat is the infrastructure layer under tidymodels, defining the preprocessing and extraction contracts other packages implement. Its releases read as a list of new generics and vector classes: extract_postprocessor(), extract_fit_time(), extract_tailor(), and a quantile_pred() class for quantile-regression output. The newest release is narrow warning and missing-value handling in mold().
◆ Where it's heading
Each addition here lands ahead of a user-facing feature elsewhere in tidymodels — the postprocessor and tailor generics precede the postprocessing workflow, quantile_pred() precedes quantile prediction in parsnip. The package's own surface stays deliberately small and its cadence follows what the rest of the stack is about to need.
◆ Prediction
Expect further extraction generics and prediction-type classes as tidymodels builds out postprocessing, with hardhat's own API remaining thin.
writexl
6.3ANALYTICS
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 hardhat 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 hardhat or writexl.
rgbif
rgbif is steadily pushing users off paged searching and onto real downloads.
rstanarm
rstanarm is community-maintained now, tracking Stan and lme4 rather than adding models.
taxa
taxa started a ground-up rewrite in 2021 and has published almost nothing since.
rotl
rotl's whole release history is keeping name matching honest against a moving taxonomy.
taxize
taxize spends its releases absorbing other people's API changes, one dead source at a time.
See all hardhat alternatives → · See all writexl alternatives →
Recent activity from hardhat and writexl
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 8d agowritexlwritexl 2.0.0 adds formatting, comments and full libxlsxwriter coverage ⚡
- 8d agowritexlwritexl 1.5.4 fixes a documentation typo
- 4mo agohardhatmold() warning and quantile missing-value fixes
- 11mo agohardhatextract_tailor() generic added
- 1y agohardhatquantile_pred() class for quantile regression output
- 2y agohardhatextract_postprocessor() and extract_fit_time() generics
- 2y agohardhatDocumentation topic renamed at CRAN's request
- 3y agohardhatMulti-outcome prediction helpers and one-hot factor encoding
- 5y agowritexlwritexl 1.4.0 updates libxlsxwriter to 1.0.3
- 6y agowritexlwritexl 1.2 fixes NA in formulas and hyperlinks
- 7y agowritexlwritexl 1.1 fixes NA strings and bit64 coercion
- 8y agowritexlwritexl 1.0 writes Date values as datetimes
Frequently asked questions
What is the difference between hardhat 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 hardhat 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 hardhat?
Top hardhat alternatives in Analytics are ranked by recent ship velocity. Browse the "hardhat alternatives" section above for the current picks, or visit /alternatives/hardhat 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.