← Back to home
Comparison · Analytics

errors vs geodist

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

errors vs geodist: at a glance

Featureerrorsgeodist
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesuncertainty-propagation, measurement, r-quantities, formattinggeospatial, distance-calculation, zero-dependency, c-code
Last editorial update1h ago1h ago
WebsiteVisit →Visit →

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 →

What is geodist?

geodist stays dependency-free and fast, and warns you when 'cheap' distances stop being honest.

geodist computes geodesic distances between coordinate pairs in C with no dependencies, offering several measures that trade accuracy for speed — including a 'cheap' approximation used by default. The API is small and largely finished; 0.1.0 added geodist_min() for nearest-match lookups and 0.1.1 is a compiler warning fix.

Read the full geodist trajectory →

errors vs geodist: editorial side-by-side

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.

G
geodist
ANALYTICS
0.0

geodist stays dependency-free and fast, and warns you when 'cheap' distances stop being honest.

◆ Current state

geodist computes geodesic distances between coordinate pairs in C with no dependencies, offering several measures that trade accuracy for speed — including a 'cheap' approximation used by default. The API is small and largely finished; 0.1.0 added geodist_min() for nearest-match lookups and 0.1.1 is a compiler warning fix.

◆ Where it's heading

Development has been about making the speed-accuracy trade visible rather than hiding it. The 0.0.6 release added messages telling users to pick a different measure once the default cheap approximation is applied beyond 100km, where its error stops being negligible. Around that, the work is input handling — tibble support, better lon/lat column matching, vector inputs — and hardening the C code. It is a package that treats being small and correct as the feature.

◆ Prediction

Expect continued low-frequency maintenance: compiler warnings and geodesic source updates account for three of the last six releases, and the function surface has grown by only two entries in five years.

Alternatives to errors and geodist

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 errors or geodist.

See all errors alternatives → · See all geodist alternatives →

Recent activity from errors and geodist

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

  1. 1y agoerrorserrors 0.4.4 replaces deprecated geom_errorbarh()
  2. 1y agogeodistgeodist 0.1.1 clears a clang warning in geodesic.c
  3. 1y agoerrorserrors 0.4.3 supports decimals in parenthesis notation
  4. 2y agoerrorserrors 0.4.2 adds PDG rounding rules
  5. 2y agogeodistgeodist 0.1.0 adds geodist_min() for nearest matches
  6. 2y agoerrorserrors 0.4.1 handles missing values, fixes na.rm
  7. 3y agoerrorserrors 0.4.0 adds geom_errors() for automatic errorbars
  8. 3y agogeodistgeodist 0.0.8 updates geodesic source, fixes clang warnings
  9. 5y agogeodistgeodist 0.0.7 improves lon/lat column matching and tibbles
  10. 5y agoerrorserrors 0.3.6
  11. 5y agogeodistgeodist 0.0.6 warns when cheap distances exceed 100km
  12. 6y agogeodistgeodist 0.0.4 adds geodist_vec() for vector inputs

Frequently asked questions

What is the difference between errors and geodist?

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

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

What are the best alternatives to geodist?

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