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labelled vs rollama

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

Shared themes:r-package

labelled vs rollama: at a glance

Featurelabelledrollama
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themessurvey-data, data-labels, stata-spss, metadatalocal-llm, ollama, text-annotation, structured-output
Last editorial update47m ago2h 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 rollama?

rollama turns a local-LLM wrapper into an instrument for reproducible annotation

rollama is an R client for Ollama, aimed at researchers running local models for text annotation and embedding rather than at application developers. Version 0.3.0 adds response caching, logprobs output, batched questions, and a reimplemented structured-outputs path with its own vignette, while syncing against upstream Ollama API changes. The package now covers the full loop a computational social scientist needs: prompt, constrain the output shape, read the model's confidence, and cache the result.

Read the full rollama trajectory →

labelled vs rollama: 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
rollama
ANALYTICS
0.0

rollama turns a local-LLM wrapper into an instrument for reproducible annotation

◆ Current state

rollama is an R client for Ollama, aimed at researchers running local models for text annotation and embedding rather than at application developers. Version 0.3.0 adds response caching, logprobs output, batched questions, and a reimplemented structured-outputs path with its own vignette, while syncing against upstream Ollama API changes. The package now covers the full loop a computational social scientist needs: prompt, constrain the output shape, read the model's confidence, and cache the result.

◆ Where it's heading

Each release has pushed further from chat toward measurement. Early versions added multi-model querying and dedicated embedding models; 0.2.0 brought make_query() for annotation and multi-server dispatch; 0.2.1 added structured output and custom headers. The 0.3.0 combination of logprobs and caching is the clearest statement of intent — those are features you add for people who need confidence scores and reproducible reruns, not for people building chatbots. Keeping pace with the Ollama API is the recurring maintenance cost.

◆ Prediction

Expect the annotation path to keep deepening — likely more tooling around logprob-derived confidence and validation of structured outputs — alongside the routine syncing each Ollama API change forces.

Alternatives to labelled and rollama

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 rollama.

See all labelled alternatives → · See all rollama alternatives →

Recent activity from labelled and rollama

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

  1. 4mo agorollamarollama 0.3.0 adds logprobs, caching and batched queries
  2. 9mo agolabelledFormatted look_for() tables and two-way dictionary conversion
  3. 11mo agolabelledSurvey design objects supported across the package
  4. 1y agolabelledRegression in set_variable_labels() corrected
  5. 1y agorollamaStructured output and custom headers
  6. 1y agolabelledcli adopted for all messaging; null_action gains options
  7. 1y agorollamamake_query() for annotation, multi-server dispatch
  8. 2y agorollamarollama 0.1.0
  9. 2y agolabelledCustom functions can rewrite variable and value labels in bulk
  10. 2y agorollamaDedicated embedding models and multi-model queries
  11. 3y agolabelledPacked columns supported and label attributes exposed directly

Frequently asked questions

What is the difference between labelled and rollama?

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

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

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