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Comparison · Analytics
patentsview vs sftime
A side-by-side editorial comparison of patentsview and sftime — release velocity, themes, recent moves, and the top alternatives to consider.
Shared themes:r-package
patentsview vs sftime: at a glance
What is patentsview?
Dormant for years, then rewritten wholesale when the API underneath it broke.
patentsview is an R client for the USPTO PatentsView API, and version 1.0.0 is less a feature release than a forced reconstruction: the upstream API introduced mandatory keys, renamed and re-nested its endpoints, and the package had to follow. Between 2017 and 2021 the release cadence was roughly annual and almost entirely defensive — wrapping examples so CRAN would not fail during API outages, patching URL encoding, adding throttling retries. The 1.0.0 work restores the package to parity with an API that no longer resembles the one it was written against.
What is sftime?
The spatiotemporal companion to sf, moving at the pace of the packages around it.
sftime extends sf with an active time column, giving R a data frame class for data that is both spatial and temporal. Its recent history is almost entirely integration work: 0.3.0 added conversion methods from spatstat point patterns, sftrack and sftraj movement objects and cubble data frames, plus dedicated tidyr::drop_na() and dplyr::dplyr_reconstruct() methods. The two releases since are a namespace version-check correction and a switch from the magrittr pipe to the native pipe in examples.
patentsview vs sftime: editorial side-by-side
patentsview
0.0ANALYTICS
Dormant for years, then rewritten wholesale when the API underneath it broke.
◆ Current state
patentsview is an R client for the USPTO PatentsView API, and version 1.0.0 is less a feature release than a forced reconstruction: the upstream API introduced mandatory keys, renamed and re-nested its endpoints, and the package had to follow. Between 2017 and 2021 the release cadence was roughly annual and almost entirely defensive — wrapping examples so CRAN would not fail during API outages, patching URL encoding, adding throttling retries. The 1.0.0 work restores the package to parity with an API that no longer resembles the one it was written against.
◆ Where it's heading
The arc here is a client package whose roadmap is entirely dictated by an upstream service it does not control. Every release since 0.2.0 has been reactive — HTTPS migration, throttling, encoding fixes, and now a full breaking rewrite. The one forward-looking piece is retrieve_linked_data(), which follows HATEOAS links the API now returns, meaning the package is starting to navigate the API rather than just query fixed endpoints.
◆ Prediction
Expect the next releases to be small follow-ups against the reworked API — field list refreshes and error handling for endpoints that behave differently in practice than in the documentation. The entries do not show any independent roadmap, so anything beyond that would depend on further upstream API changes.
sftime
0.0ANALYTICS
The spatiotemporal companion to sf, moving at the pace of the packages around it.
◆ Current state
sftime extends sf with an active time column, giving R a data frame class for data that is both spatial and temporal. Its recent history is almost entirely integration work: 0.3.0 added conversion methods from spatstat point patterns, sftrack and sftraj movement objects and cubble data frames, plus dedicated tidyr::drop_na() and dplyr::dplyr_reconstruct() methods. The two releases since are a namespace version-check correction and a switch from the magrittr pipe to the native pipe in examples.
◆ Where it's heading
The package's job is to be interoperable, so its releases follow whatever the surrounding spatial and tidyverse packages do. The dplyr_reconstruct() work is the clearest example of why that matters: inheriting sf's method caused column binding to silently return an sf object where an sftime object was expected, which is the kind of class-preservation bug that only surfaces two steps downstream. Development is sparse, roughly one release a year.
◆ Prediction
Expect further conversion methods as new spatiotemporal classes appear in the R spatial ecosystem, and continued tracking of dplyr and tidyr generics. The entries do not indicate any planned change to the sftime class itself.
Alternatives to patentsview and sftime
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 patentsview or sftime.
maplegend
The legend engine mapsf spun out, now covering legend types the parent map package can draw.
lang
R help pages translated on demand by whichever LLM you point it at.
mapsf
Thematic mapping in base R that finally got a theming system, then spent two years polishing legends.
qualtRics
qualtRics moved its contact functions onto XM Directory days before the old endpoints died.
fabletools
The tidyverts forecasting core rebuilt model combination on full residual covariance.
See all patentsview alternatives → · See all sftime alternatives →
Recent activity from patentsview and sftime
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 3mo agosftimeExamples switched to the native R pipe
- 6mo agopatentsviewRebuilt for PatentsView's new API: keys, nested endpoints ⚡
- 11mo agosftimeFixes the cubble namespace version check
- 1y agosftimeConverts from spatstat, sftrack and cubble objects
- 4y agopatentsviewMoves to HTTPS endpoints and handles API throttling
- 7y agopatentsviewVignettes dropped so CRAN builds survive API outages
- 8y agopatentsviewAPI examples wrapped in dontrun for CRAN stability
- 8y agopatentsviewcast_pv_data() converts returned columns to real types
- 9y agopatentsviewFirst release: query DSL for the PatentsView API
Frequently asked questions
What is the difference between patentsview and sftime?
Both compete on the same themes — r-package — within Analytics. patentsview and sftime 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 patentsview better than sftime?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. patentsview and sftime 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 patentsview?
Top patentsview alternatives in Analytics are ranked by recent ship velocity. Browse the "patentsview alternatives" section above for the current picks, or visit /alternatives/patentsview for the full list with editorial commentary on each.
What are the best alternatives to sftime?
Top sftime alternatives in Analytics are ranked by recent ship velocity. Browse the "sftime alternatives" section above for the current picks, or visit /alternatives/sftime for the full list with editorial commentary on each.