vellumplot tags its first release with a bet most R grammars don't make: the static figure and the widget are the same object.
audubon alternatives
The best audubon alternatives in analytics tools, ranked by Sparkpulse's velocity_score.
Updated Aug 15, 2026
Looking for the best alternatives to audubon? Sparkpulse tracks and ranks 12 alternatives in analytics tools by shipping velocity — how frequently each ships meaningful updates, verified from official changelogs. For reference, audubon 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 audubon
audubon's release feed is almost entirely Renovate bumping the JavaScript toolchain behind its Japanese text splitter.
An R package for Japanese text processing — normalisation, tokenisation via MeCab and SudachiPy, and phrase splitting through budoux. Ten releases since 2022, but the changelogs are dominated by automated dependency updates to a webpack, babel and prettier toolchain, because the budoux component is JavaScript that has to be bundled. Actual R-facing changes appear in perhaps one release in three.
Velocity 0.0 · Last update 47m ago
Top 12 alternatives to audubon
Ranked by recent ship velocity. Tap any card for the full editorial breakdown, or pivot to a head-to-head.
After two and a half years dormant, mizer shipped three major versions in seven weeks.
vellum's bugs are now found by using it, not testing it — the downstream grammar is doing the QA.
distributions3 changes hands to Achim Zeileis, and a moment calculation bug goes with it.
stringi has spent two years on build hardening since its Unicode 15.1 reset.
rjd3highfreq ships whatever the Java side ships, and only occasionally says what that was.
affiner is quietly turning a grid transformation helper into a small computational geometry library.
ageproR spent two years chasing a moving file format, then added the recruitment models that justify the effort.
ledger adds a Rust toolchain fallback, so beancount imports work whether or not the Python tooling is installed.
gridpattern keeps widening its catalogue, and the newest patterns finally use the device's own line rendering.
distributional taught + and - to work on any pair of distributions, closing the algebra it started with.
An outside audit against Stata found seven errors in ardlverse's panel estimator, including regressions with no intercept.
audubon 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.
| Product | Velocity | Sparks · 30d | Focus areas | Latest release |
|---|---|---|---|---|
| audubon (baseline) | 0.0 | 0 | japanese-nlptext-processingr-package | — |
| vellumplot | 6.3 | 1 | r-graphicsgrammar-of-graphicsaccessibility | First tagged release: one spec compiles to PNG, SVG, tagged PDF and a widget |
| mizer | 5.0 | 0 | size-spectrum-modellingmarine-ecologynumerical-methods | Diffusion enters the McKendrick-von Foerster equation, ending a two-year gap |
| vellum | 5.0 | 0 | r-graphicsrendering-enginelinting | — |
| distributions3 | 2.5 | 0 | r-packageprobability-distributionsstatistical-modelling | — |
| stringi | 2.5 | 0 | unicodeicubuild-portability | ICU 74.1 bundle lands; Solaris support dropped |
| rjd3highfreq | 0.0 | 0 | seasonal-adjustmenttime-seriesjdemetra | — |
| affiner | 0.0 | 0 | r-packagecomputational-geometrygrid-graphics | — |
| ageproR | 0.0 | 0 | fisheries-sciencestock-assessmentr-package | Four recruitment models added, including autocorrelated lognormal error |
| r-ledger | 0.0 | 0 | plain-text-accountingr-packagebeancount | — |
| gridpattern | 0.0 | 0 | r-graphicspattern-fillsgrid | — |
| distributional | 0.0 | 0 | r-packageprobability-distributionsdistribution-arithmetic | Distribution arithmetic: FFT convolution behind the + and - operators |
| ardlverse | 0.0 | 0 | econometricspanel-dataardl | — |
The 12 best audubon 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 audubon'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 audubon leans on japanese nlp, text processing and r package, vellumplot focuses on r graphics, grammar of graphics and accessibility.
Over the last 30 days vellumplot has been shipping faster than audubon — a point in its favour if release momentum matters to you.
Full vellumplot trajectory → · Compare audubon vs vellumplot →
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 audubon leans on japanese nlp, text processing and r package, mizer focuses on size spectrum modelling, marine ecology and numerical methods.
mizer and audubon 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 audubon leans on japanese nlp, text processing and r package, vellum focuses on r graphics, rendering engine and linting.
vellum and audubon 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 audubon leans on japanese nlp, text processing and r package, distributions3 focuses on r package, probability distributions and statistical modelling.
distributions3 and audubon have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full distributions3 trajectory → · Compare audubon vs distributions3 →
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 audubon leans on japanese nlp, text processing and r package, stringi focuses on unicode, icu and build portability.
stringi and audubon 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 audubon leans on japanese nlp, text processing and r package, rjd3highfreq focuses on seasonal adjustment, time series and jdemetra.
rjd3highfreq and audubon have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full rjd3highfreq trajectory → · Compare audubon vs rjd3highfreq →
7. 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 audubon leans on japanese nlp, text processing and r package, affiner focuses on r package, computational geometry and grid graphics.
affiner and audubon have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
8. 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 audubon leans on japanese nlp, text processing and r package, ageproR focuses on fisheries science, stock assessment and r package.
ageproR and audubon have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
9. 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 audubon leans on japanese nlp, text processing and r package, r-ledger focuses on plain text accounting, r package and beancount.
r-ledger and audubon have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
10. 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 audubon leans on japanese nlp, text processing and r package, gridpattern focuses on r graphics, pattern fills and grid.
gridpattern and audubon have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full gridpattern trajectory → · Compare audubon vs gridpattern →
11. distributional · velocity 0.0
Distributional taught + and - to work on any pair of distributions, closing the algebra it started with.
Its velocity score of 0.0/10 reflects longer-term release cadence; its most recent meaningful update was “Distribution arithmetic: FFT convolution behind the + and - operators”.
Where audubon leans on japanese nlp, text processing and r package, distributional focuses on r package, probability distributions and distribution arithmetic.
distributional and audubon have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full distributional trajectory → · Compare audubon vs distributional →
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 audubon leans on japanese nlp, text processing and r package, ardlverse focuses on econometrics, panel data and ardl.
ardlverse and audubon have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full ardlverse trajectory → · Compare audubon vs ardlverse →
Frequently asked questions
What are the best alternatives to audubon?
The top audubon alternatives we currently track in analytics tools are vellumplot, mizer, vellum, distributions3, stringi, ranked by recent ship velocity.
How is this list of audubon alternatives ranked?
Alternatives are ranked by Sparkpulse's velocity_score — release cadence + 30-day spark count + sector-relative ship rate.
Can I compare audubon directly with one of these alternatives?
Yes — every card has a "Compare with audubon" link to a side-by-side /compare page.