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Comparison · Analytics
scales vs tsibble
A side-by-side editorial comparison of scales and tsibble — release velocity, themes, recent moves, and the top alternatives to consider.
scales vs tsibble: at a glance
What is scales?
scales keeps widening what ggplot2 can put on an axis.
scales supplies the breaks, labels and transformations behind ggplot2's axes and legends. Unlike much of the tidyverse infrastructure around it, it still ships genuine feature work each release: native timespan handling in 1.3.0, then custom range-training classes and label_glue() in 1.4.0.
What is tsibble?
tsibble shipped one release in five and a half years - the data structure is finished
tsibble defines the tidy time-series data structure that fable and feasts are built on. The design churned heavily through 2018 and 2019, settled with the 0.9.0 move onto vctrs in mid-2020, and then went quiet: the next release, 1.2.0, arrived in February 2026 with a summary() method and some tidyselect helpers.
scales vs tsibble: editorial side-by-side
scales
0.0ANALYTICS
scales keeps widening what ggplot2 can put on an axis.
◆ Current state
scales supplies the breaks, labels and transformations behind ggplot2's axes and legends. Unlike much of the tidyverse infrastructure around it, it still ships genuine feature work each release: native timespan handling in 1.3.0, then custom range-training classes and label_glue() in 1.4.0.
◆ Where it's heading
The arc runs toward extensibility and type coverage. First came built-in support for awkward types like difftime and hms; 1.4.0 inverts that by letting any third-party class participate in range training simply by implementing range() or levels(). Labelling is getting more expressive rather than merely more numerous.
◆ Prediction
Expect continued type-support and labelling work, with extension points that let downstream packages plug in their own classes instead of scales enumerating every one.
tsibble
0.0ANALYTICS
tsibble shipped one release in five and a half years - the data structure is finished
◆ Current state
tsibble defines the tidy time-series data structure that fable and feasts are built on. The design churned heavily through 2018 and 2019, settled with the 0.9.0 move onto vctrs in mid-2020, and then went quiet: the next release, 1.2.0, arrived in February 2026 with a summary() method and some tidyselect helpers.
◆ Where it's heading
This is a package that reached its final shape and stopped. The early releases are a rapid sequence of breaking changes to the key and interval metadata, each one warning that previously stored objects are corrupt; once the interval became a formal vctrs record type there was nothing structural left to change. The five-year gap is the trajectory, not a lapse.
◆ Prediction
Expect further releases to be small compatibility and convenience additions at long intervals; with the type system settled and windowing delegated to slider, there is no visible pressure for another breaking change.
Alternatives to scales and tsibble
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 scales or tsibble.
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.
pins
pins keeps adding a storage backend per release while retiring its original API
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
See all scales alternatives → · See all tsibble alternatives →
Recent activity from scales and tsibble
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 6mo agotsibblesummary() for time classes; sequential column construction
- 1y agoscalesscales 1.4.0 opens range training to custom classes
- 2y agoscalesscales 1.3.0 makes timespans first-class on axes
- 3y agoscalesscales 1.2.1 re-documents to fix .Rd HTML issues
- 4y agoscalesscales 1.2.0 fixes currency sign order and adds scale_cut
- 6y agotsibbleInterval becomes a vctrs record type; windowing moves to slider ⚡
- 6y agoscalesscales 1.1.1 fixes palette inversion and adds oob_keep()
- 6y agoscalesscales 1.1.0 reorganises breaks and labels into a naming scheme
- 7y agotsibbleLifecycle badges and yearweek string parsing
- 7y agotsibblePatch fixes for renaming, single-row and duplicate-index cases
- 7y agotsibbleindex_by() groups the index; unnest_tsibble() added
- 7y agotsibbleMetadata overhaul folds regular into interval, ordered into index
Frequently asked questions
What is the difference between scales and tsibble?
They serve adjacent needs but don't currently overlap on shipped themes. scales and tsibble 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 scales better than tsibble?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. scales and tsibble 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 scales?
Top scales alternatives in Analytics are ranked by recent ship velocity. Browse the "scales alternatives" section above for the current picks, or visit /alternatives/scales-r for the full list with editorial commentary on each.
What are the best alternatives to tsibble?
Top tsibble alternatives in Analytics are ranked by recent ship velocity. Browse the "tsibble alternatives" section above for the current picks, or visit /alternatives/tsibble for the full list with editorial commentary on each.