← Back to home
Comparison · Analytics

bundle vs spiro

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

bundle vs spiro: at a glance

Featurebundlespiro
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesserialization, tidymodels, model-deployment, compatibilityexercise-physiology, data-import, sports-science, ropensci
Last editorial update48m ago2h ago
WebsiteVisit →Visit →

What is bundle?

Four releases in three years, each one teaching the serializer about a model type it couldn't carry

bundle solves a narrow, real problem: many R model objects hold pointers to external state — compiled boosters, Java handles, torch tensors — that do not survive being saved and reloaded in another session. It wraps them so they do. The package has shipped four releases since 2022, and the shape of each is the same: extend coverage to another model class, or repair coverage that an upstream release broke.

Read the full bundle trajectory →

What is spiro?

Cardiopulmonary exercise test data in R, one metabolic cart vendor at a time.

spiro imports and processes cardiopulmonary exercise testing data in R, handling the file formats that metabolic carts from Cosmed, Cortex, Vyntus, and ZAN emit, then interpolating, smoothing, and summarizing them into comparable variables. The bulk of ongoing work is vendor format compatibility rather than analysis features — 0.2.4 fixed Cosmed imports failing in rare cases and Cortex imports on newer devices, and 0.2.2 added English-language Vyntus files after 0.1.2 added French ones. The analysis side, spiro_max(), spiro_smooth() and spiro_plot(), has been stable for some time.

Read the full spiro trajectory →

bundle vs spiro: editorial side-by-side

B
bundle
ANALYTICS
0.0

Four releases in three years, each one teaching the serializer about a model type it couldn't carry

◆ Current state

bundle solves a narrow, real problem: many R model objects hold pointers to external state — compiled boosters, Java handles, torch tensors — that do not survive being saved and reloaded in another session. It wraps them so they do. The package has shipped four releases since 2022, and the shape of each is the same: extend coverage to another model class, or repair coverage that an upstream release broke.

◆ Where it's heading

Coverage is the product, so the release cadence is set by the ecosystem rather than by a roadmap. dbarts arrived in 0.1.2, along with extra work to preserve xgboost's nfeatures and feature_names through a round trip; 0.1.3 exists because xgboost changed its model format again. The 0.1.1 fix — recipes steps nested inside workflows — points at the same underlying issue one level up, where the object needing bundling is buried inside a tidymodels pipeline rather than passed directly.

◆ Prediction

Expect the next release to follow the same trigger: either a new parsnip engine that carries external pointers, or another upstream format change in one of the engines already covered. xgboost has now forced two of the four releases.

S
spiro
ANALYTICS
0.0

Cardiopulmonary exercise test data in R, one metabolic cart vendor at a time.

◆ Current state

spiro imports and processes cardiopulmonary exercise testing data in R, handling the file formats that metabolic carts from Cosmed, Cortex, Vyntus, and ZAN emit, then interpolating, smoothing, and summarizing them into comparable variables. The bulk of ongoing work is vendor format compatibility rather than analysis features — 0.2.4 fixed Cosmed imports failing in rare cases and Cortex imports on newer devices, and 0.2.2 added English-language Vyntus files after 0.1.2 added French ones. The analysis side, spiro_max(), spiro_smooth() and spiro_plot(), has been stable for some time.

◆ Where it's heading

This is a mature rOpenSci package whose remaining work is dictated by other people's file formats. Each device firmware revision, each regional language variant, and each ggplot2 release generates maintenance, and that is what fills the changelog. The API itself settled early, with the 0.1.0 rOpenSci review pass renaming the protocol helpers to the pt_* prefix and 0.2.0 replacing the confusingly named spiro_import() with spiro_raw().

◆ Prediction

Expect the pattern to continue: import fixes as vendor formats shift and periodic plotting updates tracking ggplot2, with no indication of new analysis capability.

Alternatives to bundle and spiro

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 bundle or spiro.

See all bundle alternatives → · See all spiro alternatives →

Recent activity from bundle and spiro

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

  1. 1mo agospiroCosmed and Cortex import fixes for newer devices
  2. 8mo agobundlexgboost bundling updated for newer model versions
  3. 1y agospiroEnglish-language Vyntus files supported
  4. 1y agobundledbarts BART models become bundleable
  5. 2y agobundleRecipes steps inside workflows now bundle correctly
  6. 3y agospiroR-devel compatibility and data frame printing fix
  7. 3y agospirospiro_raw() replaces the misleading spiro_import()
  8. 3y agospiroFrench Vyntus support and protocol duration control
  9. 3y agobundleFirst CRAN release
  10. 3y agospirospiro 0.1.1

Frequently asked questions

What is the difference between bundle and spiro?

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

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

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

What are the best alternatives to spiro?

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