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sparsevctrs vs spiro

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

sparsevctrs vs spiro: at a glance

Featuresparsevctrsspiro
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themessparse-data, tidymodels, altrep, numerical-computingexercise-physiology, data-import, sports-science, ropensci
Last editorial update50m ago2h ago
WebsiteVisit →Visit →

What is sparsevctrs?

Sparse vectors stopped being a storage trick and became something you can do arithmetic on

sparsevctrs supplies sparse vectors that live inside ordinary data frames and tibbles, which is what lets tidymodels carry wide, mostly-zero feature matrices without densifying them. Through 0.2.0 and 0.3.0 the package built out a computation layer on top of that storage — first summary statistics, then scalar and element-wise arithmetic — and everything since has been correctness work at the C level.

Read the full sparsevctrs 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 →

sparsevctrs vs spiro: editorial side-by-side

S
sparsevctrs
ANALYTICS
0.0

Sparse vectors stopped being a storage trick and became something you can do arithmetic on

◆ Current state

sparsevctrs supplies sparse vectors that live inside ordinary data frames and tibbles, which is what lets tidymodels carry wide, mostly-zero feature matrices without densifying them. Through 0.2.0 and 0.3.0 the package built out a computation layer on top of that storage — first summary statistics, then scalar and element-wise arithmetic — and everything since has been correctness work at the C level.

◆ Where it's heading

The release pattern splits cleanly at 0.3.0. Before it, new functions arrive in batches; after it, five consecutive releases are bug fixes, and the bugs are the kind that come with hand-written sparse kernels: a stack imbalance when sparse_multiplication() returns all zeros, undefined behaviour in multiplication, type errors in sparse_is_na(), coercion failures on NA input. That is the expected cost of an ALTREP-backed numerical layer, and the fixes are landing steadily.

◆ Prediction

With the arithmetic surface in place and the recent releases all narrow fixes, the next one is more likely another correctness patch than a new function family. The R devel fix in 0.3.5 suggests upcoming R releases are the current source of breakage.

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 sparsevctrs 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 sparsevctrs or spiro.

See all sparsevctrs alternatives → · See all spiro alternatives →

Recent activity from sparsevctrs and spiro

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

  1. 1mo agospiroCosmed and Cortex import fixes for newer devices
  2. 8mo agosparsevctrsSparse character vector fix for R devel
  3. 1y agosparsevctrsStack imbalance in sparse multiplication fixed
  4. 1y agosparsevctrsSparse matrix coercion no longer errors on NA input
  5. 1y agosparsevctrssparsity() fixed for classed numeric vectors
  6. 1y agosparsevctrsUndefined behaviour in sparse multiplication fixed
  7. 1y agosparsevctrsScalar and element-wise arithmetic for sparse vectors
  8. 1y agospiroEnglish-language Vyntus files supported
  9. 3y agospiroR-devel compatibility and data frame printing fix
  10. 3y agospirospiro_raw() replaces the misleading spiro_import()
  11. 3y agospiroFrench Vyntus support and protocol duration control
  12. 3y agospirospiro 0.1.1

Frequently asked questions

What is the difference between sparsevctrs and spiro?

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

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

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