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aniread vs gratia

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

aniread vs gratia: at a glance

Featureanireadgratia
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesanimal tracking, file formats, pose estimation, data importgam, mgcv, ggplot2, statistical-graphics
Last editorial update7h ago49m ago
WebsiteVisit →Visit →

What is aniread?

aniread keeps finding that every tracker lies about coordinates in its own way.

aniread is the reader package of the animovement suite, importing output from pose-estimation and centroid trackers into aniframe objects. The 0.4.0 release standardised something every reader had been getting differently — source data using an image top-left origin is now reflected into a conventional bottom-left origin, across eleven readers. Since then the work has been Octron and BORIS specifics, and 0.5.0 extended the package past tracking data into behavioural events.

Read the full aniread trajectory →

What is gratia?

The tidy front-end for GAMs, now stable enough that upstream ggplot2 sets its release calendar.

gratia wraps mgcv-fitted generalized additive models in tidy data frames and ggplot2 graphics — smooth_estimates(), fitted_values(), derivatives(), draw() and appraise() cover evaluation, prediction and diagnostics. The API reached its intended shape at 0.9.0, when every generated column was renamed to a dot-prefixed form, and 0.10.0 added conditional_values() for covariate-conditional prediction plots.

Read the full gratia trajectory →

aniread vs gratia: editorial side-by-side

A
aniread
ANALYTICS
0.0

aniread keeps finding that every tracker lies about coordinates in its own way.

◆ Current state

aniread is the reader package of the animovement suite, importing output from pose-estimation and centroid trackers into aniframe objects. The 0.4.0 release standardised something every reader had been getting differently — source data using an image top-left origin is now reflected into a conventional bottom-left origin, across eleven readers. Since then the work has been Octron and BORIS specifics, and 0.5.0 extended the package past tracking data into behavioural events.

◆ Where it's heading

Each release reads as a catalogue of the ways a source format is imprecise: Octron omitting frames where nothing was detected, BORIS exports whose image index puts a STOP before its START, idtracker.ai renaming its leading column, Windows UNC shares reporting a false negative on read permission. The fixes share a posture of reconstructing what the format left implicit rather than passing the gap through — reinstating missing frames as all-NA rows, recovering a frame interval from time and FPS. Format support now tracks aniframe's class work closely, with 0.5.0 requiring aniframe 0.6.0 for the anievent class it produces.

◆ Prediction

get_supported_sources() was added so downstream packages can discover formats programmatically instead of hard-coding them, which suggests the next additions are more sources behind that registry rather than changes to the reader API.

G
gratia
ANALYTICS
0.0

The tidy front-end for GAMs, now stable enough that upstream ggplot2 sets its release calendar.

◆ Current state

gratia wraps mgcv-fitted generalized additive models in tidy data frames and ggplot2 graphics — smooth_estimates(), fitted_values(), derivatives(), draw() and appraise() cover evaluation, prediction and diagnostics. The API reached its intended shape at 0.9.0, when every generated column was renamed to a dot-prefixed form, and 0.10.0 added conditional_values() for covariate-conditional prediction plots.

◆ Where it's heading

The package has moved through a long rewrite cycle and out the other side. Successive releases replaced evaluate_smooth() with smooth_estimates(), rebuilt draw() on top of it, then renamed the entire output vocabulary to avoid colliding with user variables. That work is finished; 0.11.1 is driven almost entirely by ggplot2 4.0.0 compatibility, with new mgcv family support for quantile residuals riding along. Development now tracks upstream breakage rather than internal redesign.

◆ Prediction

Expect the next releases to continue absorbing ggplot2 4.x and mgcv changes, with incremental family coverage in quantile_residuals() as the visible new work. The entries give no signal on which mgcv families come next.

Alternatives to aniread and gratia

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 aniread or gratia.

See all aniread alternatives → · See all gratia alternatives →

Recent activity from aniread and gratia

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

  1. 1mo agoanireadget_supported_sources(); Octron gap and BORIS index fixes
  2. 1mo agoanireadread_boris() imports behavioural events as anievent objects
  3. 3mo agoanireadread_octron() property selection, speed and a silent-recycling fix
  4. 3mo agoaniready-origin standardised to bottom-left across eleven readers
  5. 11mo agogratiaggplot2 4.0.0 compatibility, plus four more quantile-residual families
  6. 1y agogratiaconditional_values() replaces vis.gam for conditional prediction plots
  7. 2y agogratiaparametric_effects() joins the dot-prefix rename; LSS families begin
  8. 2y agogratiaEvery generated column gains a dot prefix
  9. 3y agogratiaReal variable names in smooth_samples(), plus dplyr 1.1.0 fixes
  10. 4y agogratiaM1 example output fixes and confint tibble returns

Frequently asked questions

What is the difference between aniread and gratia?

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

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

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

What are the best alternatives to gratia?

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