tidytlg
A tables-listings-graphs package that reached CRAN and then went quiet.
Comparison · Analytics
posteriordb vs spatsoc
A side-by-side editorial comparison of posteriordb and spatsoc — release velocity, themes, recent moves, and the top alternatives to consider.
posteriordb vs spatsoc: at a glance
What is posteriordb?
A reference posterior database that hit 1.0 with a paper, and is now graded on the statistics it ships.
posteriordb distributes Bayesian models with data and reference posterior draws so inference algorithms can be benchmarked against a common target. It reached 1.0.0 alongside a published paper, and ships both R and Python access. Recent work is about the metadata around the draws — licences, machine-readable dataset descriptors, and additional summary statistics.
What is spatsoc?
One maintainer, one or two new collective-motion metrics per release, for two years straight
spatsoc turns animal relocation data into spatial and social groupings — dyads, fission-fusion events, group centroids — and the recent history is a metronomic accretion of collective-motion measures on top of that base. Since late 2024 nearly every release has added one or two: polarization, direction to leader, position along the group axis, directional correlation delay, edge alignment, edge zones. Development is essentially single-handed; almost every merged PR in this window carries the same author.
posteriordb vs spatsoc: editorial side-by-side
posteriordb
0.0ANALYTICS
A reference posterior database that hit 1.0 with a paper, and is now graded on the statistics it ships.
◆ Current state
posteriordb distributes Bayesian models with data and reference posterior draws so inference algorithms can be benchmarked against a common target. It reached 1.0.0 alongside a published paper, and ships both R and Python access. Recent work is about the metadata around the draws — licences, machine-readable dataset descriptors, and additional summary statistics.
◆ Where it's heading
The database is maturing from a model collection into a citable benchmark asset: licence information per model, a Croissant metadata file for dataset discovery, and summary statistics like mean squared value and lag-1 autocorrelation that let users judge whether reference draws are good enough for their comparison. Earlier releases were about content and correctness; current ones are about making the content machine-readable and verifiable.
◆ Prediction
Further work should continue on draw-quality diagnostics and metadata rather than model count, since the last two releases both added ways to assess the reference draws instead of adding posteriors.
spatsoc
0.0ANALYTICS
One maintainer, one or two new collective-motion metrics per release, for two years straight
◆ Current state
spatsoc turns animal relocation data into spatial and social groupings — dyads, fission-fusion events, group centroids — and the recent history is a metronomic accretion of collective-motion measures on top of that base. Since late 2024 nearly every release has added one or two: polarization, direction to leader, position along the group axis, directional correlation delay, edge alignment, edge zones. Development is essentially single-handed; almost every merged PR in this window carries the same author.
◆ Where it's heading
The December 2025 release changes register. Alongside three new calc_distance / calc_direction / calc_centroid functions and an internal assertion family, it deprecates the `projection` argument in favour of `crs` and lands a round of checks and tests explicitly staged ahead of a new spatial interface. Read together, that is a package finishing its metric catalogue and starting to rework the coordinate-handling layer underneath it to match modern R-spatial conventions — the same evolution that made it drop its startup warning back in 0.2.7.
◆ Prediction
The next release is likely the spatial-interface rework the 0.2.12 test and assertion work was staged for, with `projection` moving from deprecated to removed. Feature additions should slow while that lands.
Alternatives to posteriordb and spatsoc
Other Analytics 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 posteriordb or spatsoc.
Tplyr
Tplyr made clinical summary tables explain where every number came from.
rlistings
Clinical listings that keep inheriting their hardest problem — pagination — from the layer below.
hoardr
A cache-directory helper that has shipped nothing but CRAN-triggered patches for seven years.
gigs
gigs redesigned its whole conversion API for rOpenSci, then spent three releases getting the docs to build.
riem
A weather-data client that keeps rewriting its HTTP layer while slowly tightening its API.
See all posteriordb alternatives → · See all spatsoc alternatives →
Recent activity from posteriordb and spatsoc
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 8mo agospatsoccalc_* functions added; projection deprecated ahead of a spatial rework
- 10mo agospatsocEdge zones and edge direction added; centroid NA handling fixed
- 11mo agospatsocEdge alignment metric added
- 1y agospatsocLeader edge delay added; units dependency moves to a CRAN release
- 1y agoposteriordb1.0.0: licences, Croissant metadata, and draw diagnostics
- 1y agospatsocDirectional correlation delay added; longlat direction bug fixed
- 1y agospatsocLeadership and group-axis position measures added
- 2y agoposteriordbStan code updated to 2.26 syntax; posterior tags cleaned
- 3y agoposteriordbNew posteriors and a corrected dogs model
- 5y agoposteriordbPython module gains GitHub-backed and env-var database paths
Frequently asked questions
What is the difference between posteriordb and spatsoc?
They serve adjacent needs but don't currently overlap on shipped themes. posteriordb and spatsoc 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 posteriordb better than spatsoc?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. posteriordb and spatsoc 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 Analytics products to evaluate alongside.
What are the best alternatives to posteriordb?
Top posteriordb alternatives in Analytics are ranked by recent ship velocity. Browse the "posteriordb alternatives" section above for the current picks, or visit /alternatives/posteriordb for the full list with editorial commentary on each.
What are the best alternatives to spatsoc?
Top spatsoc alternatives in Analytics are ranked by recent ship velocity. Browse the "spatsoc alternatives" section above for the current picks, or visit /alternatives/spatsoc for the full list with editorial commentary on each.