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Comparison · Analytics
aniread vs ribd
A side-by-side editorial comparison of aniread and ribd — release velocity, themes, recent moves, and the top alternatives to consider.
aniread vs ribd: at a glance
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.
What is ribd?
The pedsuite's coefficient engine: broadening what it computes, then making the plots publishable.
ribd computes relatedness coefficients from pedigrees, covering kinship, inbreeding, kappa, condensed and detailed identity coefficients, and two-locus versions of several of these, in autosomal and X-chromosomal form. The IBD triangle is now drawable in base graphics, ggplot2 or plotly, with an optional inset pedigree, and custom relationships can be placed on it. The most recent release is dominated by correctness work, fixing pair ordering and row alignment in coefficient tables and edge cases for pedigree lists, unrelated individuals and self-pairs.
aniread vs ribd: editorial side-by-side
aniread
3.8ANALYTICS
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.
ribd
2.5ANALYTICS
The pedsuite's coefficient engine: broadening what it computes, then making the plots publishable.
◆ Current state
ribd computes relatedness coefficients from pedigrees, covering kinship, inbreeding, kappa, condensed and detailed identity coefficients, and two-locus versions of several of these, in autosomal and X-chromosomal form. The IBD triangle is now drawable in base graphics, ggplot2 or plotly, with an optional inset pedigree, and custom relationships can be placed on it. The most recent release is dominated by correctness work, fixing pair ordering and row alignment in coefficient tables and edge cases for pedigree lists, unrelated individuals and self-pairs.
◆ Where it's heading
The arc runs from generality to presentation to precision. Early releases replaced narrow functions with general ones, most visibly when gKinship() absorbed generalisedKinship() and identityCoefs() superseded the separate autosomal and X-chromosomal identity functions in favour of an Xchrom argument. The middle stretch turned the IBD triangle into a proper plotting surface across three graphics systems. The current phase reads as consolidation, with the newest release listing six bug fixes against four features, several of them alignment errors in output tables, which is where a coefficient library most needs to be exactly right.
◆ Prediction
The two new internal functions in the latest release, inbreedingContributions() and ancestralKinship(), are the kind of thing that surfaces publicly a release or two later, so expect them to become exported decomposition tools. The correctness push through pedigree lists and edge cases suggests the near-term focus stays on hardening rather than new coefficient families.
Alternatives to aniread and ribd
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 ribd.
silx
silx settles into maintenance a release after its PySide6 migration
Plotly
Plotly is turning its cloud into a metered compute platform with an enterprise on-ramp.
Rho
Rho's release machinery finally produced a stable build — and it shipped no new product.
Usermaven
Usermaven closed the loop: data comes in from anywhere, and now it goes back out.
OpenCTI
OpenCTI spends a release unblocking queues and hardening upserts
See all aniread alternatives → · See all ribd alternatives →
Recent activity from aniread and ribd
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 19h agoanireadv0.6.0 — one entry point for every format ⚡
- 15d agoribdCustom relationships on the IBD triangle; six alignment and edge-case fixes
- 1mo agoanireadget_supported_sources(); Octron gap and BORIS index fixes
- 1mo agoanireadread_boris() imports behavioural events as anievent objects
- 3mo agoanireadread_octron() property selection, speed and a silent-recycling fix
- 3mo agoaniready-origin standardised to bottom-left across eleven readers ⚡
- 1y agoribdkappaIBD() can skip across-component pairs on large pedigrees
- 2y agoribdIBD triangle plots gain ggplot2 and plotly backends, plus inset pedigrees
- 3y agoribdTriangle line clipping, automatic plot margins, citation info
- 3y agoribdTwo-locus functions overhauled; twoLocusInbreeding and ELR added
- 4y agoribdIdentity coefficients unified behind identityCoefs() and an Xchrom argument
Frequently asked questions
What is the difference between aniread and ribd?
They serve adjacent needs but don't currently overlap on shipped themes. aniread is currently shipping more aggressively (velocity 3.8 vs 2.5), 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 ribd?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. aniread is currently shipping more aggressively (velocity 3.8 vs 2.5), 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 ribd?
Top ribd alternatives in Analytics are ranked by recent ship velocity. Browse the "ribd alternatives" section above for the current picks, or visit /alternatives/ribd for the full list with editorial commentary on each.