bbotk
bbotk is generalizing from an optimizer toolkit into an evaluation framework.
Comparison · Analytics
pins vs readxl
A side-by-side editorial comparison of pins and readxl — release velocity, themes, recent moves, and the top alternatives to consider.
pins vs readxl: at a glance
What is pins?
pins keeps adding a storage backend per release while retiring its original API
pins publishes and versions R objects to a board, where a board is whatever storage you have. The recent releases read as a steady list of new boards - Google Cloud Storage, Google Drive, Databricks Volumes, Connect vanity URLs - alongside serialization changes that track which formats R users actually want: parquet via nanoparquet, and qs replaced by qs2.
What is readxl?
readxl has shipped almost nothing but vendored-dependency upkeep since 2022.
readxl reads Excel files into R without requiring Excel, bundling the libxls and RapidXML C libraries. Four of its last six releases state outright that they contain no user-facing changes, existing instead to satisfy CRAN, silence a sanitizer warning, or re-embed a patched libxls.
pins vs readxl: editorial side-by-side
pins
0.0ANALYTICS
pins keeps adding a storage backend per release while retiring its original API
◆ Current state
pins publishes and versions R objects to a board, where a board is whatever storage you have. The recent releases read as a steady list of new boards - Google Cloud Storage, Google Drive, Databricks Volumes, Connect vanity URLs - alongside serialization changes that track which formats R users actually want: parquet via nanoparquet, and qs replaced by qs2.
◆ Where it's heading
Two long-running processes, neither dramatic. Backend coverage expands toward wherever teams already store artifacts, which increasingly means Databricks and cloud object storage rather than a shared drive. Meanwhile the legacy pin() API from before the board model has been in a staged deprecation across at least three releases, escalated each time rather than removed.
◆ Prediction
Expect another board or two as storage platforms are requested, and the legacy pin() functions to finally become errors; the format list will keep tracking whichever serializer the R community settles on.
readxl
0.0ANALYTICS
readxl has shipped almost nothing but vendored-dependency upkeep since 2022.
◆ Current state
readxl reads Excel files into R without requiring Excel, bundling the libxls and RapidXML C libraries. Four of its last six releases state outright that they contain no user-facing changes, existing instead to satisfy CRAN, silence a sanitizer warning, or re-embed a patched libxls.
◆ Where it's heading
The real work has become stewardship of vendored C code: absorbing libxls security fixes and keeping the package compiling across Alpine, UBSAN and successive cpp11 versions. 1.5.0 breaks the streak only slightly, with a network-drive permission warning fix and a cpp11 floor raised to dodge a segfault.
◆ Prediction
Expect the same rhythm — releases triggered by toolchain breakage or an upstream libxls patch rather than new spreadsheet-reading capability.
Alternatives to pins and readxl
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 pins or readxl.
bayesplot
bayesplot keeps widening its posterior-check catalogue while absorbing each ggplot2 break.
animation
Contribution-driven maintenance on a package whose last structural change was magick support.
tsibble
tsibble shipped one release in five and a half years - the data structure is finished
yardstick
yardstick made fairness metrics a first-class part of tidymodels evaluation
tune
tune extends tuning past the model itself to postprocessors, and adds a second parallel backend
Recent activity from pins and readxl
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 2mo agoreadxlreadxl 1.5.0 stops false access-denied warnings on network drives
- 5mo agopinsqs2 replaces qs; pins can be written in multiple formats
- 1y agopinsPin previews on Connect; Databricks host normalization
- 1y agoreadxlreadxl 1.4.5 clears a gcc UBSAN warning
- 1y agoreadxlreadxl 1.4.4 embeds libxls 1.6.3 with vulnerability fixes
- 1y agopinsAdds board_databricks() and switches parquet to nanoparquet
- 2y agopinspin_write() arguments must be named; Connect caches removed
- 2y agopinsMessage clarity and Google Drive dribble handling
- 2y agopinsboard_gdrive() added; cache location configurable
- 3y agoreadxlreadxl 1.4.3 ships with no user-facing changes
- 3y agoreadxlreadxl 1.4.2 embeds a libxls build fixing CVE-2021-27836
- 3y agoreadxlreadxl 1.4.1 regenerates help files for valid HTML5
Frequently asked questions
What is the difference between pins and readxl?
They serve adjacent needs but don't currently overlap on shipped themes. pins and readxl 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 pins better than readxl?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. pins and readxl 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 pins?
Top pins alternatives in Analytics are ranked by recent ship velocity. Browse the "pins alternatives" section above for the current picks, or visit /alternatives/pins-r for the full list with editorial commentary on each.
What are the best alternatives to readxl?
Top readxl alternatives in Analytics are ranked by recent ship velocity. Browse the "readxl alternatives" section above for the current picks, or visit /alternatives/readxl for the full list with editorial commentary on each.