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aniread vs ggeffects

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

aniread vs ggeffects: at a glance

Featureanireadggeffects
SectorAnalyticsAnalytics
Velocity score3.80.0
Sparks · 30d10
Top themesanimal tracking, file formats, auto-detection, data importmarginal-effects, r-stats, statistics, breaking-changes
Last editorial update9h ago5d ago
WebsiteVisit →Visit →

What is aniread?

aniread stops asking you to know which tracker wrote the file

aniread is the reader package of the animovement suite, importing output from pose-estimation, centroid and behavioural-scoring tools into aniframe objects. Through 0.5.x the work was per-reader: get_supported_sources() exposed the format list programmatically, read_boris() added behavioural events, and Octron and BORIS each got targeted fixes. 0.6.0 changes the shape of the interface itself — read_dataset() takes any supported file through one entry point and detect_source() works out which software wrote it by inspecting contents, not just the suffix.

Read the full aniread trajectory →

What is ggeffects?

ggeffects hands its contrast engine to modelbased and keeps the interface

ggeffects computes and plots marginal effects for a long tail of R model classes. Its recent line has two threads: steadily broadening model support and argument surface, and repeatedly absorbing breaking changes from the packages it computes on top of. In 2.2.0 it stopped absorbing them and delegated test_predictions() and johnson_neyman() to modelbased instead.

Read the full ggeffects trajectory →

aniread vs ggeffects: editorial side-by-side

A
aniread
ANALYTICS
3.8

aniread stops asking you to know which tracker wrote the file

◆ Current state

aniread is the reader package of the animovement suite, importing output from pose-estimation, centroid and behavioural-scoring tools into aniframe objects. Through 0.5.x the work was per-reader: get_supported_sources() exposed the format list programmatically, read_boris() added behavioural events, and Octron and BORIS each got targeted fixes. 0.6.0 changes the shape of the interface itself — read_dataset() takes any supported file through one entry point and detect_source() works out which software wrote it by inspecting contents, not just the suffix.

◆ Where it's heading

The package is moving from a set of named readers to a dispatcher with the readers behind it, and the hard part is being handled rather than hidden: twelve sources emit .csv, so detection narrows by suffix then inspects content, and DeepLabCut and LightningPose files are structurally identical so it returns the combined 'deeplabcut/lightningpose' rather than guessing wrong. The honesty extends to gaps — optional-dependency detectors are skipped when the package is absent and the error names what was skipped, and SLEAP's csv suffix was withdrawn because auto-detection would have routed files into a reader that cannot read them. Alongside this, read_trackball() was substantially repaired for real two-sensor Bonsai captures, where alignment, clocks, corrupt rows and gap filling were each independently wrong.

◆ Prediction

Expect the withdrawn SLEAP csv suffix to return once read_sleap() gains support, since the changelog explicitly parks it against issue #87. Further detectors are the natural next increment, and the sensor-local-clock warning class suggests trackball alignment is not finished.

G
ggeffects
ANALYTICS
0.0

ggeffects hands its contrast engine to modelbased and keeps the interface

◆ Current state

ggeffects computes and plots marginal effects for a long tail of R model classes. Its recent line has two threads: steadily broadening model support and argument surface, and repeatedly absorbing breaking changes from the packages it computes on top of. In 2.2.0 it stopped absorbing them and delegated test_predictions() and johnson_neyman() to modelbased instead.

◆ Where it's heading

The package is settling into a front-end role — a consistent predict_response() interface over other people's estimation engines — rather than owning the computation itself. The 2.x releases also show a pattern of removing deprecated arguments and clarifying mixed-model semantics, so the interface is being tightened as the backend is outsourced.

◆ Prediction

Expect the features lost in the modelbased handover to return as that package's contrast and slope estimation matures, rather than being reimplemented locally.

Alternatives to aniread and ggeffects

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 ggeffects.

See all aniread alternatives → · See all ggeffects alternatives →

Recent activity from aniread and ggeffects

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

  1. 19h agoanireadv0.6.0 — one entry point for every format
  2. 1mo agoanireadget_supported_sources(); Octron gap and BORIS index fixes
  3. 1mo agoanireadread_boris() imports behavioural events as anievent objects
  4. 3mo agoanireadread_octron() property selection, speed and a silent-recycling fix
  5. 3mo agoaniready-origin standardised to bottom-left across eleven readers
  6. 1y agoggeffectsggeffects delegates contrasts and slopes to modelbased
  7. 1y agoggeffectsFive focal terms and formula-based contrast tests
  8. 1y agoggeffectsMixed-model predictions split type from interval
  9. 1y agoggeffectsBias correction for back-transformed mixed-model predictions
  10. 1y agoggeffectsSupport for WeightIt model classes
  11. 2y agoggeffectsglmgee support and vcov controls for ggemmeans()

Frequently asked questions

What is the difference between aniread and ggeffects?

They serve adjacent needs but don't currently overlap on shipped themes. aniread is currently shipping more aggressively (velocity 3.8 vs 0.0), with 1 editorial sparks in the last 30 days against 0. See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.

Is aniread better than ggeffects?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. aniread is currently shipping more aggressively (velocity 3.8 vs 0.0), with 1 editorial sparks in the last 30 days against 0. 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 ggeffects?

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