A univariate density estimator that added zero-inflated data and reopened its C++ API to do it.
TidyDensity alternatives
The best TidyDensity alternatives in analytics tools, ranked by Sparkpulse's velocity_score.
Updated Aug 17, 2026
Looking for the best alternatives to TidyDensity? Sparkpulse tracks and ranks 12 alternatives in analytics tools by shipping velocity — how frequently each ships meaningful updates, verified from official changelogs. For reference, TidyDensity 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 TidyDensity
A distribution catalogue that grows by one family at a time, and rarely breaks anything.
TidyDensity generates tidy-format random data from statistical distributions, with parameter estimation, AIC calculation, summary tables and automatic plotting for each one. Its releases follow a fixed template — breaking changes, new features, minor fixes — and the breaking section is usually empty. Growth comes distribution by distribution: Bernoulli, Burr, triangular, chi-square, zero-truncated negative binomial and others each arrive with a matching set of param_estimate, aic and stats_tbl helpers.
Velocity 0.0 · Last update 55m ago
Top 12 alternatives to TidyDensity
Ranked by recent ship velocity. Tap any card for the full editorial breakdown, or pivot to a head-to-head.
Stationary vine copulas for time series, released in lockstep with the rest of Nagler's vine stack.
A single-purpose ggplot2 extension that has spent six years tracking ggplot2 instead of growing.
A Star Trek data package that became a Memory Alpha web client and has been patching scrapers ever since.
A thin EIA energy-data client whose whole story is making bulk queries survive the API's limits.
A Fortran-backed Delaporte distribution package where every release is compiler and CRAN weather.
Queuing theory packaged for NHS waiting-list managers, one year into a community-built first release.
The plotting companion to simmer, shipping only when the simulator or a graphics dependency moves.
A fast random-graph sampler that spent 0.3.1 fixing what its parameters actually mean.
A young Mathematics Genealogy client spending its first four releases satisfying CRAN.
The natverse package that taught neuron data to remember which brain space it lives in.
The NBLAST neuron-similarity engine is stable code on life support, shipping once every few years.
TidyDensity 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 |
|---|---|---|---|---|
| TidyDensity (baseline) | 0.0 | 0 | statistical-distributionsrandom-generationparameter-estimation | — |
| kde1d | 0.0 | 0 | density-estimationkernel-methodszero-inflation | Zero-inflated mixtures and a new standalone C++ API |
| svines | 0.0 | 0 | vine-copulastime-seriesdependence-modelling | — |
| gghighlight | 0.0 | 0 | ggplot2data-visualisationggplot-extension | — |
| rtrek | 0.0 | 0 | star-trekweb-scrapingdatasets | Memory Alpha and Memory Beta web APIs added |
| eiaapi | 0.0 | 0 | energy-dataapi-clienteia | — |
| delaporte | 0.0 | 0 | probability-distributionscount-datafortran | — |
| NHSRwaitinglist | 0.0 | 0 | queuing-theoryhealthcare-analyticsnhs | — |
| simmer.plot | 0.0 | 0 | discrete-event-simulationsimmerggplot2 | — |
| fastrg | 0.0 | 0 | random-graphsstochastic-blockmodelsnetwork-sampling | fastRG 0.3.1 |
| maths.genealogy | 0.0 | 0 | academic-genealogyapi-clientgraph-visualisation | — |
| nat.templatebrains | 0.0 | 0 | neuroscienceimage-registrationnatverse | Transformed objects now carry their registration space |
| nat.nblast | 0.0 | 0 | neuroscienceneuron-morphologynatverse | — |
The 12 best TidyDensity alternatives, in depth
1. kde1d · velocity 0.0
A univariate density estimator that added zero-inflated data and reopened its C++ API to do it.
Its velocity score of 0.0/10 reflects longer-term release cadence; its most recent meaningful update was “Zero-inflated mixtures and a new standalone C++ API”.
Where TidyDensity leans on statistical distributions, random generation and parameter estimation, kde1d focuses on density estimation, kernel methods and zero inflation.
kde1d and TidyDensity have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
2. svines · velocity 0.0
Stationary vine copulas for time series, released in lockstep with the rest of Nagler's vine stack.
Its velocity score of 0.0/10 reflects longer-term release cadence.
Where TidyDensity leans on statistical distributions, random generation and parameter estimation, svines focuses on vine copulas, time series and dependence modelling.
svines and TidyDensity have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
3. gghighlight · velocity 0.0
A single-purpose ggplot2 extension that has spent six years tracking ggplot2 instead of growing.
Its velocity score of 0.0/10 reflects longer-term release cadence.
Where TidyDensity leans on statistical distributions, random generation and parameter estimation, gghighlight focuses on ggplot2, data visualisation and ggplot extension.
gghighlight and TidyDensity have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full gghighlight trajectory → · Compare TidyDensity vs gghighlight →
4. rtrek · velocity 0.0
A Star Trek data package that became a Memory Alpha web client and has been patching scrapers ever since.
Its velocity score of 0.0/10 reflects longer-term release cadence; its most recent meaningful update was “Memory Alpha and Memory Beta web APIs added”.
Where TidyDensity leans on statistical distributions, random generation and parameter estimation, rtrek focuses on star trek, web scraping and datasets.
rtrek and TidyDensity have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
5. eiaapi · velocity 0.0
A thin EIA energy-data client whose whole story is making bulk queries survive the API's limits.
Its velocity score of 0.0/10 reflects longer-term release cadence.
Where TidyDensity leans on statistical distributions, random generation and parameter estimation, eiaapi focuses on energy data, api client and eia.
eiaapi and TidyDensity have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
6. delaporte · velocity 0.0
A Fortran-backed Delaporte distribution package where every release is compiler and CRAN weather.
Its velocity score of 0.0/10 reflects longer-term release cadence.
Where TidyDensity leans on statistical distributions, random generation and parameter estimation, delaporte focuses on probability distributions, count data and fortran.
delaporte and TidyDensity have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full delaporte trajectory → · Compare TidyDensity vs delaporte →
7. NHSRwaitinglist · velocity 0.0
Queuing theory packaged for NHS waiting-list managers, one year into a community-built first release.
Its velocity score of 0.0/10 reflects longer-term release cadence.
Where TidyDensity leans on statistical distributions, random generation and parameter estimation, NHSRwaitinglist focuses on queuing theory, healthcare analytics and nhs.
NHSRwaitinglist and TidyDensity have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full NHSRwaitinglist trajectory → · Compare TidyDensity vs NHSRwaitinglist →
8. simmer.plot · velocity 0.0
The plotting companion to simmer, shipping only when the simulator or a graphics dependency moves.
Its velocity score of 0.0/10 reflects longer-term release cadence.
Where TidyDensity leans on statistical distributions, random generation and parameter estimation, simmer.plot focuses on discrete event simulation, simmer and ggplot2.
simmer.plot and TidyDensity have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full simmer.plot trajectory → · Compare TidyDensity vs simmer.plot →
9. fastrg · velocity 0.0
A fast random-graph sampler that spent 0.3.1 fixing what its parameters actually mean.
Its velocity score of 0.0/10 reflects longer-term release cadence; its most recent meaningful update was “fastRG 0.3.1”.
Where TidyDensity leans on statistical distributions, random generation and parameter estimation, fastrg focuses on random graphs, stochastic blockmodels and network sampling.
fastrg and TidyDensity have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
10. maths.genealogy · velocity 0.0
A young Mathematics Genealogy client spending its first four releases satisfying CRAN.
Its velocity score of 0.0/10 reflects longer-term release cadence.
Where TidyDensity leans on statistical distributions, random generation and parameter estimation, maths.genealogy focuses on academic genealogy, api client and graph visualisation.
maths.genealogy and TidyDensity have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full maths.genealogy trajectory → · Compare TidyDensity vs maths.genealogy →
11. nat.templatebrains · velocity 0.0
The natverse package that taught neuron data to remember which brain space it lives in.
Its velocity score of 0.0/10 reflects longer-term release cadence; its most recent meaningful update was “Transformed objects now carry their registration space”.
Where TidyDensity leans on statistical distributions, random generation and parameter estimation, nat.templatebrains focuses on neuroscience, image registration and natverse.
nat.templatebrains and TidyDensity have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full nat.templatebrains trajectory → · Compare TidyDensity vs nat.templatebrains →
12. nat.nblast · velocity 0.0
The NBLAST neuron-similarity engine is stable code on life support, shipping once every few years.
Its velocity score of 0.0/10 reflects longer-term release cadence.
Where TidyDensity leans on statistical distributions, random generation and parameter estimation, nat.nblast focuses on neuroscience, neuron morphology and natverse.
nat.nblast and TidyDensity have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full nat.nblast trajectory → · Compare TidyDensity vs nat.nblast →
Frequently asked questions
What are the best alternatives to TidyDensity?
The top TidyDensity alternatives we currently track in analytics tools are kde1d, svines, gghighlight, rtrek, eiaapi, ranked by recent ship velocity.
How is this list of TidyDensity alternatives ranked?
Alternatives are ranked by Sparkpulse's velocity_score — release cadence + 30-day spark count + sector-relative ship rate.
Can I compare TidyDensity directly with one of these alternatives?
Yes — every card has a "Compare with TidyDensity" link to a side-by-side /compare page.