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Comparison · Infra & APIs

slendr vs surveytidy

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

slendr vs surveytidy: at a glance

Featureslendrsurveytidy
SectorInfra & APIsInfra & APIs
Velocity score0.00.0
Sparks · 30d00
Top themespopulation-genetics, simulation, tree-sequences, python-interopsurvey-statistics, tidyverse, dplyr-verbs, metadata-tracking
Last editorial update4h ago1h ago
WebsiteVisit →Visit →

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 →

What is surveytidy?

surveytidy taught every dplyr verb to operate on a whole collection of surveys at once.

surveytidy is the tidyverse-facing half of a two-package survey stack, wrapping survey design objects from surveycore so filter, mutate, select and the rest work on them while carrying variable labels, value labels and a transformation log alongside the data. The May release extended that verb surface to survey_collection, the abstraction surveycore uses to hold several surveys as one object, so a pipeline written once dispatches across every member.

Read the full surveytidy trajectory →

slendr vs surveytidy: editorial side-by-side

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.

S
surveytidy
INFRA · APIS
0.0

surveytidy taught every dplyr verb to operate on a whole collection of surveys at once.

◆ Current state

surveytidy is the tidyverse-facing half of a two-package survey stack, wrapping survey design objects from surveycore so filter, mutate, select and the rest work on them while carrying variable labels, value labels and a transformation log alongside the data. The May release extended that verb surface to survey_collection, the abstraction surveycore uses to hold several surveys as one object, so a pipeline written once dispatches across every member.

◆ Where it's heading

The package is being built in two layers that arrive in order: vector-level transformations first, structural dispatch second. The make_* family in 0.4.0 handles the recoding that survey work actually consists of — labelled to factor, multi-level to dichotomous, scale reversal, valence flipping — with value labels propagating automatically. Collection support then applies data-masking, tidyselect, grouping, slicing and collapsing verbs per survey, with joins explicitly refused and a typed message reporting which surveys were skipped. Metadata fidelity is the recurring bug source: labels surviving across(), stale labels left behind by recoding, the transformation log keeping up with what the verbs did.

◆ Prediction

Joins are the one verb family that errors on collections, with users directed to join before constructing the collection, so that restriction is the clearest outstanding gap. The re-export of surveycore's collection constructors suggests the package is positioning itself as the single import users need, which points toward more re-exports as surveycore's stable API settles.

Alternatives to slendr and surveytidy

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 slendr or surveytidy.

See all slendr alternatives → · See all surveytidy alternatives →

Recent activity from slendr and surveytidy

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

  1. 1mo agoslendrEphemeral uv Python environments remove the setup step
  2. 2mo agosurveytidymutate() syncs metadata for across() recodes
  3. 3mo agosurveytidydplyr and tidyr verbs dispatch across survey collections
  4. 5mo agosurveytidyFive label-aware recoding functions for use inside mutate()
  5. 7mo agoslendrgene_flow() separates migration rate from ancestry proportion
  6. 9mo agoslendrshiny made optional; SLiM 5.1 and Python 3.13 required
  7. 1y agoslendrconda activation reverted to a slower but reliable path
  8. 1y agoslendrBackends raised to SLiM 5.0, tskit 0.6.4 and msprime 1.3.4
  9. 1y agoslendrNon-neutral models arrive; slim() interface simplified

Frequently asked questions

What is the difference between slendr and surveytidy?

They serve adjacent needs but don't currently overlap on shipped themes. slendr and surveytidy are shipping at a similar cadence (velocity 0.0 vs 0.0, both within Sparkpulse's "active" band). See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.

Is slendr better than surveytidy?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. slendr and surveytidy are shipping at a similar cadence (velocity 0.0 vs 0.0, both within Sparkpulse's "active" band). For your specific use case, the alternatives sections above list other Infra & APIs products to evaluate alongside.

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.

What are the best alternatives to surveytidy?

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