nflreadr
The nflverse data loader, whose releases are dictated by the NFL calendar and CRAN's archive policy
Comparison · Analytics
trendseries vs worldbank
A side-by-side editorial comparison of trendseries and worldbank — release velocity, themes, recent moves, and the top alternatives to consider.
Shared themes:r-package
trendseries vs worldbank: at a glance
What is trendseries?
A trend-extraction toolkit grows a full decomposition engine, seasonal components and all.
trendseries extracts trends from economic time series through two pipe-friendly functions, backed by an unusually broad method set — Hodrick-Prescott in one- and two-sided variants, Baxter-King, Christiano-Fitzgerald, Hamilton regression, Beveridge-Nelson, unobserved components, plus the moving average and smoothing family. The 1.4 release adds decomposition proper: an exported decompose_series() that splits a series into trend, seasonal, and remainder across five methods and guarantees the components add back to the original values.
What is worldbank?
A World Bank data wrapper that keeps finding the places its own API can't reach.
worldbank provides R access to the World Bank's public data: World Development Indicators, the Poverty and Inequality Platform, project records, and the Finances One datasets. It settled its type contract early — always a data.frame, never a conditional tibble — and has since layered on opt-in request caching, multi-indicator queries, and query conveniences like most-recent-values and gap filling. The most recent addition sidesteps the API entirely, pulling the full WDI archive as a zip.
trendseries vs worldbank: editorial side-by-side
trendseries
3.8ANALYTICS
A trend-extraction toolkit grows a full decomposition engine, seasonal components and all.
◆ Current state
trendseries extracts trends from economic time series through two pipe-friendly functions, backed by an unusually broad method set — Hodrick-Prescott in one- and two-sided variants, Baxter-King, Christiano-Fitzgerald, Hamilton regression, Beveridge-Nelson, unobserved components, plus the moving average and smoothing family. The 1.4 release adds decomposition proper: an exported decompose_series() that splits a series into trend, seasonal, and remainder across five methods and guarantees the components add back to the original values.
◆ Where it's heading
The package is moving from breadth of methods to rigour about what those methods produce. Recent work has been about defaults and guarantees rather than new filters: the unobserved components model now derives its signal-to-noise ratios from Hodrick-Prescott lambdas so the default output is economically interpretable, decomposition carries an exact additive identity, and a log transform gives a uniform multiplicative variant across every method. Naming is being tidied in the same spirit, with group_vars deprecated in favour of group_cols. Side-by-side method comparison — passing several methods and getting each one's components as separate columns — suggests an audience that treats method choice as a research question rather than a setting.
◆ Prediction
Expect the comparison and diagnostic side to keep developing, since the package now produces multiple decompositions of the same series and offers no ranking between them; the entries give no indication of new filters being queued.
worldbank
0.0ANALYTICS
A World Bank data wrapper that keeps finding the places its own API can't reach.
◆ Current state
worldbank provides R access to the World Bank's public data: World Development Indicators, the Poverty and Inequality Platform, project records, and the Finances One datasets. It settled its type contract early — always a data.frame, never a conditional tibble — and has since layered on opt-in request caching, multi-indicator queries, and query conveniences like most-recent-values and gap filling. The most recent addition sidesteps the API entirely, pulling the full WDI archive as a zip.
◆ Where it's heading
Two threads run through the log. The first is query ergonomics: multiple indicators per call, mrv and gapfill parameters, regex search across the indicator catalog, a shorter wb_data() name that has since become the primary entry point. The second is coverage of things the standard API handles poorly — bulk download reaches footnote and series-time metadata the endpoints never expose, and PIP nowcasts and project records extend past the indicator tables most users start with. The maintainer runs the same infrastructure across their other data packages, and the caching design here is identical to what bbk and treasury received.
◆ Prediction
Expect the remaining rough edges of the World Bank's own API — inconsistent empty responses, metadata only available in bulk files — to keep driving releases, rather than a push into new data providers.
Alternatives to trendseries and worldbank
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 trendseries or worldbank.
susier
Fine-mapping workhorse susieR spends its releases hunting null-effect trimming bugs
UCell
A rank-based gene signature scorer that has grown by adapting to whatever object format single-cell R uses next
detectseparation
A diagnostic package that generalized past its own name, then learned to say which kind of separation it found
brglm2
A bias-reduction package reaches 1.0 by adding an estimator built for high-dimensional logistic regression
bayestools
The JAGS toolkit under RoBMA, shipping the standardization machinery its downstream rewrite needed
See all trendseries alternatives → · See all worldbank alternatives →
Recent activity from trendseries and worldbank
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 15d agotrendseriesDecomposition becomes a first-class operation, five methods deep ⚡
- 1mo agoworldbankEmpty queries return an empty frame instead of erroring
- 3mo agotrendseriesMulti-column trends and economically grounded UCM defaults
- 3mo agoworldbankBulk WDI download reaches metadata the API never exposes
- 5mo agoworldbankMost-recent-values and gap filling, plus project records
- 8mo agoworldbankTest suite stops caching queries for CRAN compliance
- 9mo agoworldbankOpt-in request caching with a one-day default
- 10mo agotrendseriesFirst production release with 21 trend extraction methods
- 1y agoworldbankwb_data() added as an alias for wb_country_indicator()
Frequently asked questions
What is the difference between trendseries and worldbank?
Both compete on the same themes — r-package — within Analytics. trendseries is currently shipping more aggressively (velocity 3.8 vs 0.0), with 1 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.
Is trendseries better than worldbank?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. trendseries is currently shipping more aggressively (velocity 3.8 vs 0.0), with 1 editorial sparks in the last 30 days against 0. For your specific use case, the alternatives sections above list other Analytics products to evaluate alongside.
What are the best alternatives to trendseries?
Top trendseries alternatives in Analytics are ranked by recent ship velocity. Browse the "trendseries alternatives" section above for the current picks, or visit /alternatives/trendseries for the full list with editorial commentary on each.
What are the best alternatives to worldbank?
Top worldbank alternatives in Analytics are ranked by recent ship velocity. Browse the "worldbank alternatives" section above for the current picks, or visit /alternatives/worldbank for the full list with editorial commentary on each.