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Comparison · Infra & APIs

prospectr vs tidyplots

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

prospectr vs tidyplots: at a glance

Featureprospectrtidyplots
SectorInfra & APIsInfra & APIs
Velocity score0.00.0
Sparks · 30d00
Top themesspectroscopy, signal-processing, preprocessing, calibration-samplingdata-visualization, r-package, ggplot2, scientific-publishing
Last editorial update2h ago53m ago
WebsiteVisit →Visit →

What is prospectr?

prospectr spent its biggest release in years fixing spectra it had been quietly mangling.

prospectr provides the signal-processing layer for near-infrared and visible spectroscopy in R — Savitzky-Golay and gap-segment derivatives, standard normal variate, detrending, continuum removal, splice correction, plus calibration sampling algorithms like Kennard-Stone and DUPLEX and readers for ASD and BUCHI NIRCal instrument files. The May release is the substantial one: a long list of corrections to functions that were returning wrong or missing values rather than failing.

Read the full prospectr trajectory →

What is tidyplots?

tidyplots keeps rebuilding its own foundations rather than layering around them.

tidyplots wraps ggplot2 in a pipe-driven API aimed at publication-ready scientific figures, trading grammar-of-graphics flexibility for a shorter path to a finished plot. It is at 0.4.0 after two years of frequent releases, and almost every one carries a breaking change — the most recent moved multi-panel layout off patchwork and onto ggplot2's own faceting. Statistical annotation, colour schemes and size control have each been reworked at least once.

Read the full tidyplots trajectory →

prospectr vs tidyplots: editorial side-by-side

P
prospectr
INFRA · APIS
0.0

prospectr spent its biggest release in years fixing spectra it had been quietly mangling.

◆ Current state

prospectr provides the signal-processing layer for near-infrared and visible spectroscopy in R — Savitzky-Golay and gap-segment derivatives, standard normal variate, detrending, continuum removal, splice correction, plus calibration sampling algorithms like Kennard-Stone and DUPLEX and readers for ASD and BUCHI NIRCal instrument files. The May release is the substantial one: a long list of corrections to functions that were returning wrong or missing values rather than failing.

◆ Where it's heading

The recent work is corrective rather than additive, and several items changed results silently before being caught. continuumRemoval() derived its convex-hull boundary offset from a fixed one-wavelength assumption that broke for fine-resolution spectra or non-nanometre units; cochranTest() passed an invalid argument name to prcomp() and produced incorrect principal component scores; readASD() silently dropped spectra in one branch of its text path. Two file readers were leaking connections. Alongside that runs a smaller thread of decoupling preprocessing steps from each other, most visibly detrend() gaining an snv argument so polynomial detrending can run without the SNV transform that Barnes et al. bundled with it.

◆ Prediction

The detrend() decoupling is the only recent addition and it fits a broader pipeline-composition direction, so similar separation of other bundled preprocessing steps is the plausible next move. The misspelled substraction argument now carries a deprecation warning, which schedules its removal for a future release.

T
tidyplots
INFRA · APIS
0.0

tidyplots keeps rebuilding its own foundations rather than layering around them.

◆ Current state

tidyplots wraps ggplot2 in a pipe-driven API aimed at publication-ready scientific figures, trading grammar-of-graphics flexibility for a shorter path to a finished plot. It is at 0.4.0 after two years of frequent releases, and almost every one carries a breaking change — the most recent moved multi-panel layout off patchwork and onto ggplot2's own faceting. Statistical annotation, colour schemes and size control have each been reworked at least once.

◆ Where it's heading

The package is converging on ggplot2 rather than abstracting away from it: split_plot() now uses facet_wrap and facet_grid, as_tidyplot() was hard-deprecated on the grounds that converting a ggplot was never a good idea, and releases are timed against upstream ggplot2 versions. The other constant is the statistics surface, which has grown from basic error bars to paired and selected comparisons. Breaking changes are announced plainly and frequently, consistent with a package using 0.x to fix its shape before committing.

◆ Prediction

The patchwork removal is described as something that will eventually break dependent code, so the near-term work is likely completing that migration and settling the split_plot() parameters introduced alongside it. A 1.0 would signal the breaking-change cadence is ending, and nothing here indicates that yet.

Alternatives to prospectr and tidyplots

Other Infra & APIs 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 prospectr or tidyplots.

See all prospectr alternatives → · See all tidyplots alternatives →

Recent activity from prospectr and tidyplots

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

  1. 1mo agoprospectrdetrend() can run without a prior SNV transformation
  2. 2mo agoprospectrContinuum removal, SNV and cochranTest corrected; readers stop leaking
  3. 7mo agotidyplotstidyplots 0.4.0
  4. 1y agotidyplotstidyplots 0.3.1
  5. 1y agotidyplotstidyplots 0.2.2
  6. 1y agoprospectrread_nircal() sample ID field fix
  7. 1y agotidyplotstidyplots 0.2.1
  8. 1y agotidyplotstidyplots 0.2.0
  9. 1y agotidyplotstidyplots 0.1.2
  10. 3y agoprospectrNon-UTF8 sample IDs no longer become NA
  11. 4y agoprospectrkenStone() bug fix
  12. 4y agoprospectrread_nircal() execution failure fixed

Frequently asked questions

What is the difference between prospectr and tidyplots?

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

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. prospectr and tidyplots 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 Infra & APIs products to evaluate alongside.

What are the best alternatives to prospectr?

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

What are the best alternatives to tidyplots?

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