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distributional alternatives

The best distributional alternatives in analytics tools, ranked by Sparkpulse's velocity_score.

Updated Aug 15, 2026

Looking for the best alternatives to distributional? Sparkpulse tracks and ranks 12 alternatives in analytics tools by shipping velocity — how frequently each ships meaningful updates, verified from official changelogs. For reference, distributional shipped 0 meaningful updates in the last 30 days and carries a velocity score of 0.0 out of 10 in 2026. The alternatives below are ranked the same way, so you're comparing real release momentum, not marketing claims.

About distributional

distributional taught + and - to work on any pair of distributions, closing the algebra it started with.

The R package providing vectorised distribution objects — the substrate that forecasting and anomaly tooling in the same ecosystem builds on. Cadence has picked up sharply, with four releases in the six months to June 2026 against roughly one a year before that. Two kinds of work alternate: adding distribution families (Dirichlet, Horseshoe, Laplace, multivariate t, g-and-k, the extreme-value pair) and deepening what can be computed generically across all of them.

Velocity 0.0 · Last update 51m ago

Read the full distributional trajectory →

Top 12 alternatives to distributional

Ranked by recent ship velocity. Tap any card for the full editorial breakdown, or pivot to a head-to-head.

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distributional vs alternatives — shipping velocity at a glance

Velocity score (0–10) and meaningful releases shipped in the last 30 days, from official changelogs. Higher = shipping faster.

ProductVelocitySparks · 30dFocus areasLatest release
distributional (baseline)0.00r-packageprobability-distributionsdistribution-arithmeticDistribution arithmetic: FFT convolution behind the + and - operators
vellumplot6.31r-graphicsgrammar-of-graphicsaccessibilityFirst tagged release: one spec compiles to PNG, SVG, tagged PDF and a widget
mizer5.00size-spectrum-modellingmarine-ecologynumerical-methodsDiffusion enters the McKendrick-von Foerster equation, ending a two-year gap
vellum5.00r-graphicsrendering-enginelinting
distributions32.50r-packageprobability-distributionsstatistical-modelling
stringi2.50unicodeicubuild-portabilityICU 74.1 bundle lands; Solaris support dropped
rjd3highfreq0.00seasonal-adjustmenttime-seriesjdemetra
audubon0.00japanese-nlptext-processingr-package
affiner0.00r-packagecomputational-geometrygrid-graphics
ageproR0.00fisheries-sciencestock-assessmentr-packageFour recruitment models added, including autocorrelated lognormal error
r-ledger0.00plain-text-accountingr-packagebeancount
gridpattern0.00r-graphicspattern-fillsgrid
ardlverse0.00econometricspanel-dataardl

The 12 best distributional alternatives, in depth

1. vellumplot · velocity 6.3

Vellumplot tags its first release with a bet most R grammars don't make: the static figure and the widget are the same object.

Over the last 30 days vellumplot shipped 1 meaningful update vs distributional's 0, most recently “First tagged release: one spec compiles to PNG, SVG, tagged PDF and a widget”. Its velocity score of 6.3/10 blends that with longer-term release cadence.

Where distributional leans on r package, probability distributions and distribution arithmetic, vellumplot focuses on r graphics, grammar of graphics and accessibility.

Over the last 30 days vellumplot has been shipping faster than distributional — a point in its favour if release momentum matters to you.

2. mizer · velocity 5.0

After two and a half years dormant, mizer shipped three major versions in seven weeks.

Its velocity score of 5.0/10 reflects longer-term release cadence; its most recent meaningful update was “Diffusion enters the McKendrick-von Foerster equation, ending a two-year gap”.

Where distributional leans on r package, probability distributions and distribution arithmetic, mizer focuses on size spectrum modelling, marine ecology and numerical methods.

mizer and distributional have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.

3. vellum · velocity 5.0

Vellum's bugs are now found by using it, not testing it — the downstream grammar is doing the QA.

Its velocity score of 5.0/10 reflects longer-term release cadence.

Where distributional leans on r package, probability distributions and distribution arithmetic, vellum focuses on r graphics, rendering engine and linting.

vellum and distributional have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.

4. distributions3 · velocity 2.5

Distributions3 changes hands to Achim Zeileis, and a moment calculation bug goes with it.

Its velocity score of 2.5/10 reflects longer-term release cadence.

Where distributional leans on r package, probability distributions and distribution arithmetic, distributions3 focuses on r package, probability distributions and statistical modelling.

distributions3 and distributional have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.

5. stringi · velocity 2.5

Stringi has spent two years on build hardening since its Unicode 15.1 reset.

Its velocity score of 2.5/10 reflects longer-term release cadence; its most recent meaningful update was “ICU 74.1 bundle lands; Solaris support dropped”.

Where distributional leans on r package, probability distributions and distribution arithmetic, stringi focuses on unicode, icu and build portability.

stringi and distributional have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.

6. rjd3highfreq · velocity 0.0

Rjd3highfreq ships whatever the Java side ships, and only occasionally says what that was.

Its velocity score of 0.0/10 reflects longer-term release cadence.

Where distributional leans on r package, probability distributions and distribution arithmetic, rjd3highfreq focuses on seasonal adjustment, time series and jdemetra.

rjd3highfreq and distributional have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.

7. audubon · velocity 0.0

Audubon's release feed is almost entirely Renovate bumping the JavaScript toolchain behind its Japanese text splitter.

Its velocity score of 0.0/10 reflects longer-term release cadence.

Where distributional leans on r package, probability distributions and distribution arithmetic, audubon focuses on japanese nlp, text processing and r package.

audubon and distributional have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.

8. affiner · velocity 0.0

Affiner is quietly turning a grid transformation helper into a small computational geometry library.

Its velocity score of 0.0/10 reflects longer-term release cadence.

Where distributional leans on r package, probability distributions and distribution arithmetic, affiner focuses on r package, computational geometry and grid graphics.

affiner and distributional have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.

9. ageproR · velocity 0.0

AgeproR spent two years chasing a moving file format, then added the recruitment models that justify the effort.

Its velocity score of 0.0/10 reflects longer-term release cadence; its most recent meaningful update was “Four recruitment models added, including autocorrelated lognormal error”.

Where distributional leans on r package, probability distributions and distribution arithmetic, ageproR focuses on fisheries science, stock assessment and r package.

ageproR and distributional have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.

10. r-ledger · velocity 0.0

Ledger adds a Rust toolchain fallback, so beancount imports work whether or not the Python tooling is installed.

Its velocity score of 0.0/10 reflects longer-term release cadence.

Where distributional leans on r package, probability distributions and distribution arithmetic, r-ledger focuses on plain text accounting, r package and beancount.

r-ledger and distributional have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.

11. gridpattern · velocity 0.0

Gridpattern keeps widening its catalogue, and the newest patterns finally use the device's own line rendering.

Its velocity score of 0.0/10 reflects longer-term release cadence.

Where distributional leans on r package, probability distributions and distribution arithmetic, gridpattern focuses on r graphics, pattern fills and grid.

gridpattern and distributional have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.

12. ardlverse · velocity 0.0

An outside audit against Stata found seven errors in ardlverse's panel estimator, including regressions with no intercept.

Its velocity score of 0.0/10 reflects longer-term release cadence.

Where distributional leans on r package, probability distributions and distribution arithmetic, ardlverse focuses on econometrics, panel data and ardl.

ardlverse and distributional have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.

Frequently asked questions

What are the best alternatives to distributional?

The top distributional alternatives we currently track in analytics tools are vellumplot, mizer, vellum, distributions3, stringi, ranked by recent ship velocity.

How is this list of distributional alternatives ranked?

Alternatives are ranked by Sparkpulse's velocity_score — release cadence + 30-day spark count + sector-relative ship rate.

Can I compare distributional directly with one of these alternatives?

Yes — every card has a "Compare with distributional" link to a side-by-side /compare page.