pr2database
The protist reference database keeps widening past the rRNA gene it was built on.
A side-by-side editorial comparison of PINstimation and usmapdata — release velocity, themes, recent moves, and the top alternatives to consider.
A market-microstructure toolkit that keeps adding estimators as the papers land.
PINstimation estimates probability-of-informed-trading models — PIN, multilayer PIN, adjusted PIN and VPIN — from trade and quote data, and handles the trade classification and aggregation that feeds them. The current 0.2.0 adds ivpin(), a maximum-likelihood variant of VPIN from Ke and Lin (2017). The package's early history is compressed into a single hour of backfilled tags in October 2022, so version order there does not track release order.
usmapdata ships its 2025 shapefiles on the year-indexed model it adopted in 0.4.0.
usmapdata supplies the boundary data behind usmap's plotting functions. Since 0.4.0 it has been year-indexed: us_map(data_year = ) selects a vintage, and each Census release is added as its own year with older ones still reachable. 1.1.0 adds 2025. 1.0.0 closed the package's longest-standing gap by adding Puerto Rico, retroactively across every vintage.
PINstimation estimates probability-of-informed-trading models — PIN, multilayer PIN, adjusted PIN and VPIN — from trade and quote data, and handles the trade classification and aggregation that feeds them. The current 0.2.0 adds ivpin(), a maximum-likelihood variant of VPIN from Ke and Lin (2017). The package's early history is compressed into a single hour of backfilled tags in October 2022, so version order there does not track release order.
Each release tracks the literature: a Bayesian PIN estimator from Griffin et al., an improved VPIN from Ke and Lin, initial-parameter generation realigned to Ersan and Ghachem. The other steady thread is data handling — matrix inputs so the estimators compose with rolling windows, user-specified aggregation frequencies, and now quote leads as well as lags. The three-year gap between 0.1.2 and 0.2.0 makes this a slow, publication-paced package rather than an actively developed one.
On this pattern the next release adds whatever estimator the authors publish next, since two of the three feature releases here implement a specific paper. Nothing in the entries points to a change in the package's structure.
usmapdata supplies the boundary data behind usmap's plotting functions. Since 0.4.0 it has been year-indexed: us_map(data_year = ) selects a vintage, and each Census release is added as its own year with older ones still reachable. 1.1.0 adds 2025. 1.0.0 closed the package's longest-standing gap by adding Puerto Rico, retroactively across every vintage.
The package has settled into a predictable rhythm — one shapefile vintage per year, with structural change rare and clustered. The two changes that mattered were data_year in 0.4.0, which turned a single-vintage dataset into a time series, and the tibble-to-data-frame switch in 0.6.0 that reduced what downstream callers have to depend on.
The stated policy — each year added going forward, previous years reachable through data_year — points to a 2026 vintage as the next release. Nothing in these notes suggests further change to the data model.
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 PINstimation or usmapdata.
The protist reference database keeps widening past the rRNA gene it was built on.
Composable aligned layouts, rebuilt on S7 while ggplot2 4.0 lands underneath.
Conservation planning absorbs the literature's target-setting rules as code.
Joint species distribution models in Gibbs-sampled C++, quiet since 2023.
An ecosystem model starts tracking carbon isotopes and land-use change.
Ten years in, US mapping splits its data out and finally adds Puerto Rico.
See all PINstimation alternatives → · See all usmapdata alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. usmapdata is currently shipping more aggressively (velocity 2.5 vs 0.0), with 0 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.
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. usmapdata is currently shipping more aggressively (velocity 2.5 vs 0.0), with 0 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.
Top PINstimation alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "PINstimation alternatives" section above for the current picks, or visit /alternatives/pinstimation for the full list with editorial commentary on each.
Top usmapdata alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "usmapdata alternatives" section above for the current picks, or visit /alternatives/usmapdata for the full list with editorial commentary on each.