randomwalk
randomwalk spent every release getting an R simulation to run in the browser, not on a server.
A side-by-side editorial comparison of hoopr and sccore — release velocity, themes, recent moves, and the top alternatives to consider.
hoopR rebuilds its HTTP layer on httr2 to stop segfaulting on modern systems
hoopR is the sportsdataverse R package for basketball data, wrapping ESPN, NBA Stats, NBA G-League, NCAA and KenPom behind a single set of loaders. Version 3.0.0 replaces httr with httr2 across every one of those backends, drops httr from Imports, and routes all calls through shared internal retry and response helpers. The change is breaking, and it exists because the old stack segfaulted against libcurl 8.x and curl 7.0.0.
Shared plumbing for the Kharchenko single-cell stack, updated once a year
sccore is the utility layer under the Kharchenko lab's single-cell packages — embedding plots, dot plots, parallel apply helpers and distance metrics that the downstream tools depend on rather than a tool researchers drive directly. The recent releases fix the Jensen-Shannon distance computation between matrix columns and add optional OpenMP support to the RcppArmadillo build. Cadence is roughly one CRAN release a year.
hoopR is the sportsdataverse R package for basketball data, wrapping ESPN, NBA Stats, NBA G-League, NCAA and KenPom behind a single set of loaders. Version 3.0.0 replaces httr with httr2 across every one of those backends, drops httr from Imports, and routes all calls through shared internal retry and response helpers. The change is breaking, and it exists because the old stack segfaulted against libcurl 8.x and curl 7.0.0.
The package's history is two distinct eras. Through 2021-2023 it grew by endpoint accretion — ESPN stat functions, G-League coverage, the NBA live and boxscore V3 families, on-court players in play-by-play — expanding what could be pulled. The recent work is consolidation instead: one HTTP pipeline, one messaging library, data served from the shared sportsdataverse-data releases rather than per-package repositories. The centre of gravity has moved from adding endpoints to making the plumbing survive its dependencies.
With the HTTP layer unified behind shared helpers, expect the sibling sportsdataverse packages to follow the same httr2 migration, and hoopR's own next releases to resume endpoint work now that requests run through one pipeline.
sccore is the utility layer under the Kharchenko lab's single-cell packages — embedding plots, dot plots, parallel apply helpers and distance metrics that the downstream tools depend on rather than a tool researchers drive directly. The recent releases fix the Jensen-Shannon distance computation between matrix columns and add optional OpenMP support to the RcppArmadillo build. Cadence is roughly one CRAN release a year.
Work splits cleanly into two streams: keeping the compiled build acceptable to CRAN as its Makevars policy shifts, and small correctness or interoperability fixes to the plotting and distance helpers. The interoperability thread is the one with direction — embeddingPlot() learning to read Seurat objects in 1.0.6 points at meeting users in the dominant single-cell framework rather than requiring the lab's own object types.
Expect the next release to be driven by a CRAN toolchain requirement or a downstream package's needs, with any user-facing change likely another interoperability or plotting fix rather than new capability.
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 hoopr or sccore.
randomwalk spent every release getting an R simulation to run in the browser, not on a server.
fastml added survival modelling and leakage-proof resampling, moving past classification and regression.
abclass built out angle-based classifiers in 2022, then went quiet except for CRAN upkeep.
churon is spending its entire release history getting a Rust ONNX binding through CRAN.
firatheme woke up after four years and started fixing what ggplot2 changed underneath it.
bagyo reached CRAN as a Philippine tropical cyclone dataset, with its tags stamped out of order.
See all hoopr alternatives → · See all sccore alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. hoopr and sccore 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.
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. hoopr and sccore 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.
Top hoopr alternatives in Analytics are ranked by recent ship velocity. Browse the "hoopr alternatives" section above for the current picks, or visit /alternatives/hoopr for the full list with editorial commentary on each.
Top sccore alternatives in Analytics are ranked by recent ship velocity. Browse the "sccore alternatives" section above for the current picks, or visit /alternatives/sccore for the full list with editorial commentary on each.