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fable vs patchwork

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

fable vs patchwork: at a glance

Featurefablepatchwork
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesforecasting, time-series, r-stats, model-classesggplot2, composition, tables, layout
Last editorial update1h ago45m ago
WebsiteVisit →Visit →

What is fable?

fable keeps widening its model shelf, one econometric class at a time

fable is the tidyverts forecasting engine, and its releases are almost entirely about which model families it can express. The 0.4.x line added the vector-error-correction and VARIMA classes plus impulse-response methods; 0.5.0 adds fractional differencing via ARFIMA. Between those, the releases are CRAN-check patches and documentation passes.

Read the full fable trajectory →

What is patchwork?

patchwork stopped being a ggplot composer and became a page composer.

patchwork assembles plots into compositions with arithmetic operators, and the 1.x line has steadily hardened that grammar: guide and axis collection, free() to exempt a plot from alignment, inset_element() for overlays, and list-like behaviour so lapply() and length() work on a patchwork. Version 1.3.0 added native gt table support. The two releases since are a load-time warning fix and a compatibility pass for the next ggplot2 release.

Read the full patchwork trajectory →

fable vs patchwork: editorial side-by-side

F
fable
ANALYTICS
0.0

fable keeps widening its model shelf, one econometric class at a time

◆ Current state

fable is the tidyverts forecasting engine, and its releases are almost entirely about which model families it can express. The 0.4.x line added the vector-error-correction and VARIMA classes plus impulse-response methods; 0.5.0 adds fractional differencing via ARFIMA. Between those, the releases are CRAN-check patches and documentation passes.

◆ Where it's heading

The package is closing the gap with the older forecast package's model coverage while keeping the tidy model-specification grammar. Each substantive release is a new model class plus the generate()/IRF() plumbing to make it behave like the existing ones. Maintenance releases cluster around CRAN policy and ggplot2/tsibble compatibility rather than internal rewrites.

◆ Prediction

Expect the next substantive release to add another model class or extend generate()/IRF() coverage to the classes that still lack them, rather than change the modelling interface.

P
patchwork
ANALYTICS
0.0

patchwork stopped being a ggplot composer and became a page composer.

◆ Current state

patchwork assembles plots into compositions with arithmetic operators, and the 1.x line has steadily hardened that grammar: guide and axis collection, free() to exempt a plot from alignment, inset_element() for overlays, and list-like behaviour so lapply() and length() work on a patchwork. Version 1.3.0 added native gt table support. The two releases since are a load-time warning fix and a compatibility pass for the next ggplot2 release.

◆ Where it's heading

The centre of gravity is shifting from alignment mechanics to composition scope. Early releases were almost entirely bug fixes against grid and ggplot2 internals — strip placement, fixed aspect ratios, guide merging. Recent ones add object types and escape hatches instead. Between feature cycles the package is in maintenance defined by ggplot2's release calendar, which is what 1.3.1 is in its entirety.

◆ Prediction

Expect wrap_table() to grow beyond gt to other table objects, and expect the next substantive release to be triggered by a ggplot2 internals change rather than by a patchwork roadmap.

Alternatives to fable and patchwork

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 fable or patchwork.

See all fable alternatives → · See all patchwork alternatives →

Recent activity from fable and patchwork

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

  1. 6mo agofablefable adds ARFIMA and fractional differencing
  2. 11mo agopatchworkFix spurious load-time warnings
  3. 1y agopatchworkCompatibility pass for the next ggplot2 release
  4. 1y agofableIndexing and generate() fixes for VECM models
  5. 1y agofableVECM and VARIMA models land, plus IRF for VAR and ARIMA
  6. 1y agopatchworkgt tables become first-class patchwork objects
  7. 2y agofablePatch for C++ R header changes
  8. 2y agopatchworkAxis collection and free() arrive
  9. 2y agofableCRAN check patch with generate() fixes
  10. 3y agopatchworkPatchworks behave like lists; NULL becomes a no-op
  11. 3y agofableTSLM forecasts gain Student's t intervals
  12. 3y agopatchworkClearer error when plotting space is too small

Frequently asked questions

What is the difference between fable and patchwork?

They serve adjacent needs but don't currently overlap on shipped themes. fable and patchwork 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 fable better than patchwork?

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

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

What are the best alternatives to patchwork?

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