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labelled vs rnpn

A side-by-side editorial comparison of labelled and rnpn — release velocity, themes, recent moves, and the top alternatives to consider.

Shared themes:r-package

labelled vs rnpn: at a glance

Featurelabelledrnpn
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themessurvey-data, data-labels, stata-spss, metadataphenology, api-client, ecological-data, data-cleaning
Last editorial update1h ago1h ago
WebsiteVisit →Visit →

What is labelled?

The bridge between Stata/SPSS labelled data and tidy R keeps widening, one integration at a time.

labelled manages variable labels, value labels and user-defined missing values on data imported from Stata, SPSS and SAS, filling the gap between those formats' metadata and R's native types. Recent releases have pushed outward from the core label accessors: survey design objects from the survey package are now supported throughout, look_for() results can be rendered as formatted gt tables, and dictionary data frames convert in both directions. Error messaging moved wholesale to cli in 2.14.0.

Read the full labelled trajectory →

What is rnpn?

The USA phenology data client rebuilt its entire stack and stopped handing users -9999 as a number.

rnpn is the R client for the USA National Phenology Network, retrieving observation records, phenometrics and gridded model layers. Version 1.3.0 in March 2025 replaced nearly all of its infrastructure at once — sp and raster dropped, terra made optional, XML swapped for xml2, plyr for dplyr, httr and curl for httr2 — and changed what functions return, with tibbles in place of data.tables and empty tibbles in place of NULL on error. The two releases since have completed the missing-value handling and restored performance lost in the transition.

Read the full rnpn trajectory →

labelled vs rnpn: editorial side-by-side

L
labelled
ANALYTICS
0.0

The bridge between Stata/SPSS labelled data and tidy R keeps widening, one integration at a time.

◆ Current state

labelled manages variable labels, value labels and user-defined missing values on data imported from Stata, SPSS and SAS, filling the gap between those formats' metadata and R's native types. Recent releases have pushed outward from the core label accessors: survey design objects from the survey package are now supported throughout, look_for() results can be rendered as formatted gt tables, and dictionary data frames convert in both directions. Error messaging moved wholesale to cli in 2.14.0.

◆ Where it's heading

The arc is toward being usable wherever labelled data ends up, not just where it is loaded. Each recent release either extends support to another object type — survey designs, packed columns, plain vectors, tibbles with list columns — or adds a conversion path between labels and some other representation. The look_for() search function has become a second centre of gravity alongside the label accessors, accumulating its own output formats and long-format conversions.

◆ Prediction

The pattern of adding compatibility with one more object type or output format per release is stable and likely continues. Nothing in these entries indicates a change to the underlying haven_labelled representation the package is built on.

R
rnpn
ANALYTICS
0.0

The USA phenology data client rebuilt its entire stack and stopped handing users -9999 as a number.

◆ Current state

rnpn is the R client for the USA National Phenology Network, retrieving observation records, phenometrics and gridded model layers. Version 1.3.0 in March 2025 replaced nearly all of its infrastructure at once — sp and raster dropped, terra made optional, XML swapped for xml2, plyr for dplyr, httr and curl for httr2 — and changed what functions return, with tibbles in place of data.tables and empty tibbles in place of NULL on error. The two releases since have completed the missing-value handling and restored performance lost in the transition.

◆ Where it's heading

The package is being brought onto the current R stack and made honest about missing data, and those are the same project. Converting the -9999 sentinel to NA started in 1.3.0 for download functions and was extended to all columns in 1.4.1; the string "emptyvalue" got the same treatment. Beyond the migration, the feature additions are modest and specific to the domain, such as custom start and end dates for defining a phenometrics season.

◆ Prediction

With the dependency migration finished and sentinel handling now applied across all columns, the next releases most likely return to domain features and to fixes surfaced by the server side, which has already prompted work through migrations and backend moves. The removed progress indicator is an acknowledged regression that may come back.

Alternatives to labelled and rnpn

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 labelled or rnpn.

See all labelled alternatives → · See all rnpn alternatives →

Recent activity from labelled and rnpn

Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.

  1. 9mo agolabelledFormatted look_for() tables and two-way dictionary conversion
  2. 11mo agolabelledSurvey design objects supported across the package
  3. 11mo agornpnSentinel -9999 now converted to NA across all columns
  4. 1y agolabelledRegression in set_variable_labels() corrected
  5. 1y agornpnCustom season windows for phenometrics, and a speed regression fixed
  6. 1y agornpnDependency stack and return types replaced wholesale
  7. 1y agolabelledcli adopted for all messaging; null_action gains options
  8. 1y agornpnBackfilled notes for seven earlier maintenance releases
  9. 2y agolabelledCustom functions can rewrite variable and value labels in bulk
  10. 3y agolabelledPacked columns supported and label attributes exposed directly

Frequently asked questions

What is the difference between labelled and rnpn?

Both compete on the same themes — r-package — within Analytics. labelled and rnpn 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 labelled better than rnpn?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. labelled and rnpn 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 labelled?

Top labelled alternatives in Analytics are ranked by recent ship velocity. Browse the "labelled alternatives" section above for the current picks, or visit /alternatives/labelled for the full list with editorial commentary on each.

What are the best alternatives to rnpn?

Top rnpn alternatives in Analytics are ranked by recent ship velocity. Browse the "rnpn alternatives" section above for the current picks, or visit /alternatives/rnpn for the full list with editorial commentary on each.