ggpointless
ggpointless keeps adding the ggplot2 layers nobody else bothered to write.
Comparison · Infra & APIs
neonUtilities vs usmapdata
A side-by-side editorial comparison of neonUtilities and usmapdata — release velocity, themes, recent moves, and the top alternatives to consider.
Shared themes:r-packages
neonUtilities vs usmapdata: at a glance
What is neonUtilities?
Two major versions shipped in a year, and this feed will not say what changed in either.
neonUtilities is the R toolkit NEON publishes for pulling and assembling its own observatory data — downloading data products through the NEON API, unzipping and stacking monthly packages into analysis-ready tables, and handling the awkward cases like eddy-covariance and airborne data. It reached 4.0.0 in June and 4.0.1 in July. What those releases contain is not recoverable from this feed: every recent entry is a one-line pointer saying the tag corresponds to a CRAN version, with the change log left in NEWS.md.
What is usmapdata?
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.
neonUtilities vs usmapdata: editorial side-by-side
neonUtilities
0.0INFRA · APIS
Two major versions shipped in a year, and this feed will not say what changed in either.
◆ Current state
neonUtilities is the R toolkit NEON publishes for pulling and assembling its own observatory data — downloading data products through the NEON API, unzipping and stacking monthly packages into analysis-ready tables, and handling the awkward cases like eddy-covariance and airborne data. It reached 4.0.0 in June and 4.0.1 in July. What those releases contain is not recoverable from this feed: every recent entry is a one-line pointer saying the tag corresponds to a CRAN version, with the change log left in NEWS.md.
◆ Where it's heading
Release cadence has picked up sharply — 3.0.0 through 4.0.1 in under a year, against multi-year gaps before that — and two major-version bumps in that window normally imply breaking changes for anyone pinning the package in a reproducible workflow. Direction cannot be read from the entries themselves. The one substantive note in the feed is older and instructive about how this repository is used: a 2023 development tag that modified stackEddy() to avoid NEON API calls for internal processing pipelines, explicitly not for public use and never submitted to CRAN.
◆ Prediction
No prediction is supportable from these entries — they contain no description of any change. What can be said is that the 3.x-to-4.x jump and the tight 4.0.0-to-4.0.1 turnaround fit the usual shape of a major release followed by a fix, and anyone depending on the package should read NEWS.md rather than this feed.
usmapdata
2.5INFRA · APIS
usmapdata ships its 2025 shapefiles on the year-indexed model it adopted in 0.4.0.
◆ Current state
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.
◆ Where it's heading
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.
◆ Prediction
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.
Alternatives to neonUtilities and usmapdata
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 neonUtilities or usmapdata.
mpactr
mpactr spent two spring releases normalizing case in metadata after users kept tripping on it.
surveytidy
surveytidy taught every dplyr verb to operate on a whole collection of surveys at once.
surveycore
surveycore declared its API stable with every survey design type covered.
PEIMAN2
PEIMAN2 cut its annotation database loose from its release cycle without breaking CRAN.
prospectr
prospectr spent its biggest release in years fixing spectra it had been quietly mangling.
See all neonUtilities alternatives → · See all usmapdata alternatives →
Recent activity from neonUtilities and usmapdata
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 23d agousmapdata2025 Census shapefiles added
- 1mo agoneonUtilitiesneonUtilities version 4.0.1
- 1mo agoneonUtilitiesneonUtilities version 4.0.0
- 6mo agoneonUtilitiesneonUtilities version 3.0.3
- 10mo agoneonUtilitiesneonUtilities version 3.0.2
- 11mo agoneonUtilitiesneonUtilities version 3.0.1
- 0y agousmapdataPuerto Rico added across every map vintage
- 1y agoneonUtilitiesneonUtilities version 3.0.0
- 1y agousmapdataus_map() returns a data frame instead of a tibble
- 1y agousmapdata2024 Census shapefiles added
- 1y agousmapdatadata_year turns the package into a multi-vintage archive ⚡
- 2y agousmapdataMap data moves to 2023 shapefiles
Frequently asked questions
What is the difference between neonUtilities and usmapdata?
Both compete on the same themes — r-packages — within Infra & APIs. 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.
Is neonUtilities better than usmapdata?
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.
What are the best alternatives to neonUtilities?
Top neonUtilities alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "neonUtilities alternatives" section above for the current picks, or visit /alternatives/neonutilities for the full list with editorial commentary on each.
What are the best alternatives to usmapdata?
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.