simlandr
Potential landscape tooling settling onto standard R generics after two rounds of renaming.
A side-by-side editorial comparison of anyflights and bagyo — release velocity, themes, recent moves, and the top alternatives to consider.
A nycflights13 generator whose recent work is all about the data being right.
anyflights builds nycflights13-style datasets for any US airport and year, downloading flight, weather, airline, airport, and plane tables and optionally packaging them. The four visible releases span 2022 to 2025 and are dominated by keeping those downloads working. The most recent fixes a timezone leak and gaps in hourly weather data.
bagyo reached CRAN as a Philippine tropical cyclone dataset, with its tags stamped out of order.
A data package distributing Philippine Area of Responsibility tropical cyclone records, developed through 2024 pre-releases and accepted by CRAN in early 2026. The substantive release is v0.2.0: 2021 and 2022 typhoon data added, an unexported helper for downloading cyclone reports, CITATION.cff, an R 4.1 dependency for the base pipe, and a full pass over vignettes, tests and README. The v0.1.1 tag announcing the first CRAN release carries no content and is stamped two hours after v0.2.0.
anyflights builds nycflights13-style datasets for any US airport and year, downloading flight, weather, airline, airport, and plane tables and optionally packaging them. The four visible releases span 2022 to 2025 and are dominated by keeping those downloads working. The most recent fixes a timezone leak and gaps in hourly weather data.
The function surface has been stable since 0.3; everything since concerns the fragility of the upstream sources. Broken URLs for airline data, download failures needing a session-timeout hint, planes data that stopped resolving, and weather values recorded only once an hour have each taken a release. Contributions come from teaching-adjacent users, which fits a package whose main use is generating course datasets.
Expect the next release to follow another upstream data-source change rather than to add a table or an argument.
A data package distributing Philippine Area of Responsibility tropical cyclone records, developed through 2024 pre-releases and accepted by CRAN in early 2026. The substantive release is v0.2.0: 2021 and 2022 typhoon data added, an unexported helper for downloading cyclone reports, CITATION.cff, an R 4.1 dependency for the base pipe, and a full pass over vignettes, tests and README. The v0.1.1 tag announcing the first CRAN release carries no content and is stamped two hours after v0.2.0.
The package is establishing itself as a citable, yearly-updated dataset rather than a one-off scrape — the download helper and the '2022 data and general yearly upkeep' commit both point at a recurring refresh, and the CRAN DOI and CITATION file exist so the data can be cited in papers. It sits alongside the same maintainer's other public-health and survey data packages, which received matching repository upkeep in the same month.
Expect an annual data release adding the next typhoon season, since that is the only recurring change in the history and the download helper was written to support it.
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 anyflights or bagyo.
Potential landscape tooling settling onto standard R generics after two rounds of renaming.
SEM reporting helpers converging on APA output, one CRAN resubmission at a time.
A raster-to-terra migration is the only readable change in a feed of merge notes.
Conditional density and log-likelihood fill out a vine copula regression package.
A drop-in string API for base R, kept alive by upstream check failures.
From a bundled hospital dataset to a live CMS API client.
See all anyflights alternatives → · See all bagyo alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. anyflights and bagyo 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. anyflights and bagyo 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 anyflights alternatives in Analytics are ranked by recent ship velocity. Browse the "anyflights alternatives" section above for the current picks, or visit /alternatives/anyflights for the full list with editorial commentary on each.
Top bagyo alternatives in Analytics are ranked by recent ship velocity. Browse the "bagyo alternatives" section above for the current picks, or visit /alternatives/bagyo for the full list with editorial commentary on each.