← Back to home
Comparison · Analytics

discrim vs tsibble

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

discrim vs tsibble: at a glance

Featurediscrimtsibble
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themestidymodels, discriminant analysis, parsnip extension, classificationtime-series, data-structures, vctrs, tidyverts
Last editorial update51m ago1h ago
WebsiteVisit →Visit →

What is discrim?

discrim settled into a thin engine shim after handing its model definitions to parsnip.

discrim is the parsnip extension for discriminant analysis, exposing linear, quadratic, flexible and regularized variants through the tidymodels interface. Its model definition functions moved into parsnip itself in 0.2.0, leaving this package as the engine and prediction layer. The two most recent releases are a documentation fix and a single prediction bug.

Read the full discrim trajectory →

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.

Read the full tsibble trajectory →

discrim vs tsibble: editorial side-by-side

D
discrim
ANALYTICS
0.0

discrim settled into a thin engine shim after handing its model definitions to parsnip.

◆ Current state

discrim is the parsnip extension for discriminant analysis, exposing linear, quadratic, flexible and regularized variants through the tidymodels interface. Its model definition functions moved into parsnip itself in 0.2.0, leaving this package as the engine and prediction layer. The two most recent releases are a documentation fix and a single prediction bug.

◆ Where it's heading

The package built out method coverage early, adding quadratic discriminant analysis in 0.1.2, the sda and sparsediscrim engines in 0.1.3 and case weights in 1.0.0, then stopped growing. Handing definitions upstream to parsnip in 0.2.0 confirmed the shape: discrim is where engines are wired, not where the API lives. Cadence since 2022 is roughly one small fix a year.

◆ Prediction

Nothing in the entries points to new methods or engines; the next release is most likely another CRAN or prediction-path fix.

T
tsibble
ANALYTICS
0.0

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 discrim 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 discrim or tsibble.

See all discrim alternatives → · See all tsibble alternatives →

Recent activity from discrim and tsibble

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

  1. 6mo agotsibblesummary() for time classes; sequential column construction
  2. 8mo agodiscrimFix for FDA models failing at prediction time
  3. 11mo agodiscrimDocumentation links updated to stay on CRAN
  4. 4y agodiscrimCase weights enabled for flexible and linear discriminant models
  5. 4y agodiscrimModel definitions moved upstream into parsnip
  6. 5y agodiscrimsda and sparsediscrim engines added for LDA and QDA
  7. 5y agodiscrimdiscrim_quad() added; package relicensed to MIT
  8. 6y agotsibbleInterval becomes a vctrs record type; windowing moves to slider
  9. 7y agotsibbleLifecycle badges and yearweek string parsing
  10. 7y agotsibblePatch fixes for renaming, single-row and duplicate-index cases
  11. 7y agotsibbleindex_by() groups the index; unnest_tsibble() added
  12. 7y agotsibbleMetadata overhaul folds regular into interval, ordered into index

Frequently asked questions

What is the difference between discrim and tsibble?

They serve adjacent needs but don't currently overlap on shipped themes. discrim 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 discrim better than tsibble?

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

Top discrim alternatives in Analytics are ranked by recent ship velocity. Browse the "discrim alternatives" section above for the current picks, or visit /alternatives/discrim 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.