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deeptime vs errors

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

deeptime vs errors: at a glance

Featuredeeptimeerrors
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesggplot2-extension, geology, phylogenetics, deprecationuncertainty-propagation, measurement, r-quantities, formatting
Last editorial update7h ago1h ago
WebsiteVisit →Visit →

What is deeptime?

A geologic-time plotting layer that outgrew time axes and became a geology rendering toolkit.

deeptime extends ggplot2 with geological time scales, radial deep-time coordinates and phylogeny-aware geoms, and since 2.0.0 it also renders standardized FGDC/USGS geologic patterns as ggplot2 fills. The current 2.4.0 release adds geom_text_clade() for labeling clades on radial phylogenies and repairs long-standing coord_trans_xy() and scale-placement edge cases.

Read the full deeptime trajectory →

What is errors?

errors keeps making uncertainty print the way each scientific field expects.

errors attaches uncertainty to numeric vectors and propagates it automatically through arithmetic, as part of the r-quantities family alongside units. The propagation core is settled; recent releases concentrate on presentation and integration — PDG rounding rules in 0.4.2, decimal support in parenthesis notation in 0.4.3, and ggplot2 deprecation tracking in 0.4.1 and 0.4.4.

Read the full errors trajectory →

deeptime vs errors: editorial side-by-side

D
deeptime
ANALYTICS
0.0

A geologic-time plotting layer that outgrew time axes and became a geology rendering toolkit.

◆ Current state

deeptime extends ggplot2 with geological time scales, radial deep-time coordinates and phylogeny-aware geoms, and since 2.0.0 it also renders standardized FGDC/USGS geologic patterns as ggplot2 fills. The current 2.4.0 release adds geom_text_clade() for labeling clades on radial phylogenies and repairs long-standing coord_trans_xy() and scale-placement edge cases.

◆ Where it's heading

The package is converging on two jobs: being the canonical R renderer for stratigraphic drawing conventions, and keeping pace with ggplot2's own churn. A sustained deprecation program — gggeo_scale(), coord_geo_polar(), getScaleData(), now disparity_through_time() — is trimming the surface down to coord_geo(), coord_geo_radial() and the pattern functions. Roughly half of each recent release is ggplot2 4.0 compatibility work.

◆ Prediction

Expect disparity_through_time() and coord_geo_polar() to be removed outright in the next major version, and further geoms aimed at annotating radial phylogenies.

E
errors
ANALYTICS
0.0

errors keeps making uncertainty print the way each scientific field expects.

◆ Current state

errors attaches uncertainty to numeric vectors and propagates it automatically through arithmetic, as part of the r-quantities family alongside units. The propagation core is settled; recent releases concentrate on presentation and integration — PDG rounding rules in 0.4.2, decimal support in parenthesis notation in 0.4.3, and ggplot2 deprecation tracking in 0.4.1 and 0.4.4.

◆ Where it's heading

Two threads run through this history. One is formatting convergence: uncertainty has field-specific conventions, and the package has been absorbing them one contributed pull request at a time rather than imposing a single style. The other is keeping the errors class first-class everywhere R users work — vctrs methods for dplyr 1.0, a geom_errors() layer for ggplot2, missing-value and duplicate handling. Both are integration work, which is what a type-extension package mostly is.

◆ Prediction

Expect further formatting conventions to arrive as contributions, following PDG rounding and the decimals option, plus continued upkeep against ggplot2 aesthetic deprecations that have forced two of the last four releases.

Alternatives to deeptime and errors

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 deeptime or errors.

See all deeptime alternatives → · See all errors alternatives →

Recent activity from deeptime and errors

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

  1. 1mo agodeeptimegeom_text_clade() labels clades on radial phylogenies
  2. 8mo agodeeptimeArgument renames for ggplot2 4.0 parity
  3. 8mo agodeeptimePattern code dictionary and time-scale theming
  4. 1y agodeeptimegeom_text_phylo() arrives with ggplot2 4 compatibility
  5. 1y agoerrorserrors 0.4.4 replaces deprecated geom_errorbarh()
  6. 1y agoerrorserrors 0.4.3 supports decimals in parenthesis notation
  7. 1y agodeeptimeContrast-aware label colors across the built-in scales
  8. 1y agodeeptimeFGDC geologic patterns become ggplot2 fills
  9. 2y agoerrorserrors 0.4.2 adds PDG rounding rules
  10. 2y agoerrorserrors 0.4.1 handles missing values, fixes na.rm
  11. 3y agoerrorserrors 0.4.0 adds geom_errors() for automatic errorbars
  12. 5y agoerrorserrors 0.3.6

Frequently asked questions

What is the difference between deeptime and errors?

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

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

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

What are the best alternatives to errors?

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