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Comparison · Infra & APIs

prova vs slendr

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

prova vs slendr: at a glance

Featureprovaslendr
SectorInfra & APIsInfra & APIs
Velocity score6.30.0
Sparks · 30d10
Top themesr-packages, bayesian-inference, decision-analysis, api-consolidationpopulation-genetics, simulation, tree-sequences, python-interop
Last editorial update50m ago2h ago
WebsiteVisit →Visit →

What is prova?

prova adds expected-utility calculation on top of its Bayesian inference core.

prova does Bayesian nonparametric inference in R — probabilities through Pr() and qPr(), mutual information, quantile plots. Five releases in about two weeks renamed its central argument, collapsed two plotting functions into one, and then in v2.3.0 introduced exputility() for expected utilities and their revisability, with plot() and print() methods attached from the start.

Read the full prova trajectory →

What is slendr?

Population-genetic simulation in R, opened up to selection and finally easier to install.

slendr specifies spatial and non-spatial population-genetic models in R and simulates them through SLiM or msprime, returning tree sequences that tskit then analyses. Two threads dominate the current releases: keeping in step with fast-moving backends, with SLiM 5.1, pyslim 1.1.0 and Python 3.13 now required, and reducing the setup burden that its Python dependency imposes. Version 1.5.0 adds ephemeral uv-based virtual environments, so init_env(uv = TRUE) can stand in for creating a permanent environment with setup_env().

Read the full slendr trajectory →

prova vs slendr: editorial side-by-side

P
prova
INFRA · APIS
6.3

prova adds expected-utility calculation on top of its Bayesian inference core.

◆ Current state

prova does Bayesian nonparametric inference in R — probabilities through Pr() and qPr(), mutual information, quantile plots. Five releases in about two weeks renamed its central argument, collapsed two plotting functions into one, and then in v2.3.0 introduced exputility() for expected utilities and their revisability, with plot() and print() methods attached from the start.

◆ Where it's heading

Two arcs run in parallel. One compresses the API: learnt= became K=, flexiplot() and plotquantiles() merged into pplot(), and omitting arguments such as Y=, X= and K= got simpler. The other extends reach — mutualinfoF() for finite-domain variates, quantile accuracy reported alongside mutual information, and now a decision-theoretic layer sitting on the inference the package already did.

◆ Prediction

exputility() shipping with print() and plot() methods matches how the probability and mutual-information classes were treated, so utilities are likely to get the same class-based handling as they mature. The notes do not say whether decision analysis extends beyond expected utility.

S
slendr
INFRA · APIS
0.0

Population-genetic simulation in R, opened up to selection and finally easier to install.

◆ Current state

slendr specifies spatial and non-spatial population-genetic models in R and simulates them through SLiM or msprime, returning tree sequences that tskit then analyses. Two threads dominate the current releases: keeping in step with fast-moving backends, with SLiM 5.1, pyslim 1.1.0 and Python 3.13 now required, and reducing the setup burden that its Python dependency imposes. Version 1.5.0 adds ephemeral uv-based virtual environments, so init_env(uv = TRUE) can stand in for creating a permanent environment with setup_env().

◆ Where it's heading

Since the 1.0.0 release added non-neutral simulation, the work has shifted from capability to friction. A large share of recent notes concerns Python environment handling, conda activation races on Windows, dependency pruning that made shiny optional, and argument names that misled users, as when gene_flow()'s rate argument turned out to mean total ancestry proportion rather than a rate. That is the profile of a package whose scientific surface is settled and whose remaining problems are the ones users actually hit.

◆ Prediction

Expect the uv-based environment path to move from fallback to default once it has proven itself, given the notes already describe an environment variable for making it so. The deprecated rate argument in gene_flow() is explicitly slated for removal in a future major release, which is the clearest signal here of what a 2.0 would contain.

Alternatives to prova and slendr

Other Infra & APIs 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 prova or slendr.

See all prova alternatives → · See all slendr alternatives →

Recent activity from prova and slendr

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

  1. 13d agoprovaexputility() brings decision analysis into prova
  2. 20d agoprovaCumulative 2.x notes, plus hist() and mutual-information changes
  3. 23d agoprovalearnt= becomes K=; pplot() replaces two plot functions
  4. 27d agoprovaFix for pre-existing parallel clusters
  5. 28d agoprovaextraDistr dropped; mutual-information objects get a class
  6. 1mo agoslendrEphemeral uv Python environments remove the setup step
  7. 7mo agoslendrgene_flow() separates migration rate from ancestry proportion
  8. 9mo agoslendrshiny made optional; SLiM 5.1 and Python 3.13 required
  9. 1y agoslendrconda activation reverted to a slower but reliable path
  10. 1y agoslendrBackends raised to SLiM 5.0, tskit 0.6.4 and msprime 1.3.4
  11. 1y agoslendrNon-neutral models arrive; slim() interface simplified

Frequently asked questions

What is the difference between prova and slendr?

They serve adjacent needs but don't currently overlap on shipped themes. prova 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 prova better than slendr?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. prova 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 Infra & APIs products to evaluate alongside.

What are the best alternatives to prova?

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

What are the best alternatives to slendr?

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