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distributions3 vs remora

A side-by-side editorial comparison of distributions3 and remora — release velocity, themes, recent moves, and the top alternatives to consider.

Shared themes:r-package

distributions3 vs remora: at a glance

Featuredistributions3remora
SectorAnalyticsAnalytics
Velocity score6.30.0
Sparks · 30d10
Top themesr-package, probability-distributions, empirical-distributions, likelihood-inferenceacoustic-telemetry, marine-science, quality-control, environmental-data
Last editorial update1h ago3d ago
WebsiteVisit →Visit →

What is distributions3?

distributions3 0.3.0 adds sample-based distributions and likelihood derivatives

An R package giving probability distributions a consistent object interface - d/p/q/r functions, moments, and prodist() methods that pull a fitted distribution out of a regression object. Version 0.3.0 is the first substantive release under Achim Zeileis's maintenance, and it widens what a distribution is allowed to be: Empirical() represents a distribution by a random sample rather than by parameters, and numerical fallbacks now fill in cdf(), pdf(), quantile(), random() and the moments for any object that implements only some of them. New score() and hessian() generics compute first and second derivatives of the log-likelihood with respect to the parameters, analytically for a few distributions and numerically for the rest.

Read the full distributions3 trajectory →

What is remora?

Australia's animal-tracking QC toolkit added a global 3-D ocean dataset, then spent two years absorbing upstream churn.

remora quality-controls acoustic telemetry detections from the IMOS Animal Tracking Facility and joins them to environmental data. Its capability surface settled with the 0.8-0 release, which added Bluelink reanalysis access and an interactive QC plot. Since then the work has been keeping data access fast and correct as the upstream providers change underneath it.

Read the full remora trajectory →

distributions3 vs remora: editorial side-by-side

D6.3

distributions3 0.3.0 adds sample-based distributions and likelihood derivatives

◆ Current state

An R package giving probability distributions a consistent object interface - d/p/q/r functions, moments, and prodist() methods that pull a fitted distribution out of a regression object. Version 0.3.0 is the first substantive release under Achim Zeileis's maintenance, and it widens what a distribution is allowed to be: Empirical() represents a distribution by a random sample rather than by parameters, and numerical fallbacks now fill in cdf(), pdf(), quantile(), random() and the moments for any object that implements only some of them. New score() and hessian() generics compute first and second derivatives of the log-likelihood with respect to the parameters, analytically for a few distributions and numerically for the rest.

◆ Where it's heading

Growth used to arrive as new distribution families contributed from outside - the extreme-value set, Erlang, later the Poisson binomial. This release changes the axis: alongside two new distributions it adds an inference layer (score, hessian) and a forecast-evaluation one (crps() methods against scoringRules), which are capabilities about distributions rather than more of them. Dependency weight is being cut at the same time, with ggplot2 demoted to Suggests and glue replaced by base R sprintf().

◆ Prediction

With numeric fallbacks and the derivative generics in place, expect analytic score() and hessian() methods to be filled in across more of the distribution catalogue. The constructor-default change is the likeliest source of follow-up fixes, since calls like Poisson() now return a length-zero distribution where they previously errored.

R
remora
ANALYTICS
0.0

Australia's animal-tracking QC toolkit added a global 3-D ocean dataset, then spent two years absorbing upstream churn.

◆ Current state

remora quality-controls acoustic telemetry detections from the IMOS Animal Tracking Facility and joins them to environmental data. Its capability surface settled with the 0.8-0 release, which added Bluelink reanalysis access and an interactive QC plot. Since then the work has been keeping data access fast and correct as the upstream providers change underneath it.

◆ Where it's heading

The package's releases are paced by its dependencies rather than by feature ambition. The 2023 release had to survive the retirement of rgeos and rgdal — an ecosystem-wide deadline that forced every R spatial package to rebuild — and used the same release to add real capability. The 2025 release is entirely reactive in a different way, tracking an AODN metadata schema change that split one project-name field into two and swapping in tidync for faster environmental downloads. For a tool bound to a national data facility, schema changes at the source are the main release trigger.

◆ Prediction

Expect the next release to track further IMOS or AODN metadata changes and continue tuning environmental data access, since two consecutive releases have been driven by upstream schema and package retirements rather than new analysis features.

Alternatives to distributions3 and remora

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 distributions3 or remora.

See all distributions3 alternatives → · See all remora alternatives →

Recent activity from distributions3 and remora

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

  1. 1h agodistributions3Empirical distributions, plus score and hessian generics
  2. 28d agodistributions3Maintenance moves to Achim Zeileis; moment calculations corrected
  3. 10mo agodistributions3ggplot2 compatibility for the plotting functions
  4. 1y agoremoraFaster environmental downloads and AODN metadata realignment
  5. 1y agodistributions3Poisson binomial distribution, with a normal-approximation fallback
  6. 2y agoremoraremora 0.8-0
  7. 3y agodistributions3is_discrete and is_continuous generics, plus elementwise type-safety
  8. 4y agodistributions3Extreme-value family, Erlang, and a plotting generic
  9. 4y agoremoraInitial release of the remora package

Frequently asked questions

What is the difference between distributions3 and remora?

Both compete on the same themes — r-package — within Analytics. distributions3 is currently shipping more aggressively (velocity 6.3 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 distributions3 better than remora?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. distributions3 is currently shipping more aggressively (velocity 6.3 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 distributions3?

Top distributions3 alternatives in Analytics are ranked by recent ship velocity. Browse the "distributions3 alternatives" section above for the current picks, or visit /alternatives/distributions3-r for the full list with editorial commentary on each.

What are the best alternatives to remora?

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