STACAS
Single-cell batch correction that learned to use cell labels, then spent three releases chasing Seurat.
Comparison · Analytics
nflfastR vs rempsyc
A side-by-side editorial comparison of nflfastR and rempsyc — release velocity, themes, recent moves, and the top alternatives to consider.
nflfastR vs rempsyc: at a glance
What is nflfastR?
nflfastR is shedding surface to the rest of nflverse and consolidating on one stats API.
The play-by-play backbone of nflverse, shipping one or two releases a year with long bug-fix lists against decades of NFL data. Since 5.0.0 the package has had a single calculate_stats() entry point that replaces the older calculate_player_stats*() family, backed by an exported nfl_stats_variables table describing every returned column. The last two releases hand work outward — standings moved to nflseedR, and the loaders are now straight re-exports of nflreadr — while fast_scraper_roster(), fast_scraper_schedules() and report() are formally deprecated.
What is rempsyc?
Publication-ready psychology tables and plots, tracking APA style as closely as the software allows.
rempsyc produces APA-formatted tables and figures for psychology research — nice_table() for results tables, plus plotting helpers for scatter plots, violin plots, densities and simple slopes. Its releases are CRAN submissions that bundle a long run of development versions, so each entry reads as a digest rather than a single change. The most recent, 0.2.0, added point labelling and per-group correlation statistics to nice_scatter and fixed nice_lm() failing on factor covariates with more than two levels.
nflfastR vs rempsyc: editorial side-by-side
nflfastR
0.0ANALYTICS
nflfastR is shedding surface to the rest of nflverse and consolidating on one stats API.
◆ Current state
The play-by-play backbone of nflverse, shipping one or two releases a year with long bug-fix lists against decades of NFL data. Since 5.0.0 the package has had a single calculate_stats() entry point that replaces the older calculate_player_stats*() family, backed by an exported nfl_stats_variables table describing every returned column. The last two releases hand work outward — standings moved to nflseedR, and the loaders are now straight re-exports of nflreadr — while fast_scraper_roster(), fast_scraper_schedules() and report() are formally deprecated.
◆ Where it's heading
nflfastR is becoming the parsing and modelling core rather than the whole toolkit. Every recent release either narrows its own API or points users at a sibling package, and the documentation strategy follows: re-exported functions are deliberately undocumented here so nflreadr stays the single source. The remaining in-house work is data correctness — duplicated play IDs, scramble identification, new penalty types — plus keeping the xgboost-backed models running as that dependency moves.
◆ Prediction
The deprecated scrapers and report() are the next things to be removed outright, and the calculate_player_stats*() family should follow, leaving calculate_stats() as the only supported path.
rempsyc
0.0ANALYTICS
Publication-ready psychology tables and plots, tracking APA style as closely as the software allows.
◆ Current state
rempsyc produces APA-formatted tables and figures for psychology research — nice_table() for results tables, plus plotting helpers for scatter plots, violin plots, densities and simple slopes. Its releases are CRAN submissions that bundle a long run of development versions, so each entry reads as a digest rather than a single change. The most recent, 0.2.0, added point labelling and per-group correlation statistics to nice_scatter and fixed nice_lm() failing on factor covariates with more than two levels.
◆ Where it's heading
Two forces drive this package and neither is its own roadmap. The first is APA style: when the 7th edition advised against beta for standardized coefficients, the package switched its output to italic b with an asterisk. The second is the surrounding ecosystem — formatting is aligned to what lavaanExtra and afex produce, contrast handling was delegated to easystats' modelbased, and Excel correlation matrix export was handed entirely to the correlation package to cut maintenance.
◆ Prediction
The pattern of delegating functionality to specialist packages while keeping the formatting layer is well established and likely continues. Because releases bundle many small dev versions, the next one will probably again mix plotting refinements with fixes surfaced by upstream changes.
Alternatives to nflfastR and rempsyc
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 nflfastR or rempsyc.
ggtrace
A debugger for ggplot2's internals, hardening its grip as the internals it traces keep moving.
kde1d
A univariate density estimator that added zero-inflated data and reopened its C++ API to do it.
svines
Stationary vine copulas for time series, released in lockstep with the rest of Nagler's vine stack.
gghighlight
A single-purpose ggplot2 extension that has spent six years tracking ggplot2 instead of growing.
rtrek
A Star Trek data package that became a Memory Alpha web client and has been patching scrapers ever since.
See all nflfastR alternatives → · See all rempsyc alternatives →
Recent activity from nflfastR and rempsyc
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 6mo agonflfastRLoaders re-exported from nflreadr; legacy scrapers deprecated
- 11mo agorempsycPoint labels and per-group correlations added to nice_scatter
- 1y agonflfastRStandings handed to nflseedR; R 4.1 now required
- 1y agorempsycExcel correlation export delegated to the correlation package
- 1y agonflfastRnflfastR 5.0.0 ⚡
- 2y agorempsycTable spacing control and a fix for name collision with afex
- 2y agonflfastRSeason-level conversion rate aggregation fixed
- 2y agonflfastRRaw play-by-play can now be cached and parsed locally
- 2y agorempsycStandardized coefficients switch to APA 7th edition b* notation
- 2y agorempsycLegend and standardization-check fixes
- 2y agorempsycnice_table starts coercing model objects automatically
- 3y agonflfastRReverse-dependency tests and dplyr compatibility fixes
Frequently asked questions
What is the difference between nflfastR and rempsyc?
They serve adjacent needs but don't currently overlap on shipped themes. nflfastR and rempsyc 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 nflfastR better than rempsyc?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. nflfastR and rempsyc 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 nflfastR?
Top nflfastR alternatives in Analytics are ranked by recent ship velocity. Browse the "nflfastR alternatives" section above for the current picks, or visit /alternatives/nflfastr for the full list with editorial commentary on each.
What are the best alternatives to rempsyc?
Top rempsyc alternatives in Analytics are ranked by recent ship velocity. Browse the "rempsyc alternatives" section above for the current picks, or visit /alternatives/rempsyc for the full list with editorial commentary on each.