← Back to home
Comparison · Analytics

aniread vs effectplots

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

aniread vs effectplots: at a glance

Featureanireadeffectplots
SectorAnalyticsAnalytics
Velocity score3.80.0
Sparks · 30d10
Top themesanimal tracking, file formats, auto-detection, data importr-package, model-interpretability, ale, partial-dependence
Last editorial update9h ago1d 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 effectplots?

A young ALE and PDP plotting package that rebuilt its numeric core after a data-corrupting bug.

effectplots computes and plots partial dependence, ALE, and observed-versus-predicted effect curves for fitted models. It reached CRAN in November 2024 and shipped three releases in the four months after. The 0.2.0 release is the pivot: an outlier-clipping routine that silently modified the caller's data frame was fixed, the numeric path was rewritten for speed and memory, and the plotting and category-collapsing defaults were reset.

Read the full effectplots trajectory →

aniread vs effectplots: 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.

E
effectplots
ANALYTICS
0.0

A young ALE and PDP plotting package that rebuilt its numeric core after a data-corrupting bug.

◆ Current state

effectplots computes and plots partial dependence, ALE, and observed-versus-predicted effect curves for fitted models. It reached CRAN in November 2024 and shipped three releases in the four months after. The 0.2.0 release is the pivot: an outlier-clipping routine that silently modified the caller's data frame was fixed, the numeric path was rewritten for speed and memory, and the plotting and category-collapsing defaults were reset.

◆ Where it's heading

After 0.2.0 the work turns to the awkward cases - missing values on the x axis, explicit and empty factor levels, discrete grid detection. The package is also widening past a single modelling ecosystem: h2o support and tidymodels examples arrived with 0.2.0, and fcut() was exported as a fast replacement for cut(). Release notes are issue-numbered throughout, so the roadmap is effectively the issue tracker.

◆ Prediction

Expect continued default tuning around collapse_m and discrete_m plus more model-backend coverage; the cadence points to another batch of issue fixes rather than a new plot type.

Alternatives to aniread and effectplots

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 effectplots.

See all aniread alternatives → · See all effectplots alternatives →

Recent activity from aniread and effectplots

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 agoeffectplotsRare categories collapse into an 'other' level
  7. 1y agoeffectplotsMissing x values now plotted for numeric features
  8. 1y agoeffectplotsNumeric core rewritten after an in-place data corruption fix
  9. 1y agoeffectplotsInitial CRAN release

Frequently asked questions

What is the difference between aniread and effectplots?

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 effectplots?

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 effectplots?

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