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osmapiR vs poissonreg

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

Shared themes:r-language

osmapiR vs poissonreg: at a glance

FeatureosmapiRpoissonreg
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesopenstreetmap, api-client, r-language, geospatialtidymodels, count-regression, glmnet, r-language
Last editorial update1h ago1h ago
WebsiteVisit →Visit →

What is osmapiR?

osmapiR is the rare API client that tracks its server's wiki revision numbers in the changelog.

osmapiR wraps the full OpenStreetMap API from R — reading and writing map data, changesets, notes, GPX traces and user records — with OAuth2 where the endpoint requires it, pagination handled internally, and atomic calls vectorised. Recent releases have filled in the moderation and social surface: note subscription, user blocks, changeset discussion search. The newest release lets `bbox` arguments arrive as a character string, matrix, vector, an sf `bbox`, or a terra `SpatExtent`.

Read the full osmapiR trajectory →

What is poissonreg?

poissonreg gave its models away to parsnip and kept the glue — now it just keeps glmnet honest.

poissonreg is a tidymodels extension that wires Poisson and zero-inflated count regression into the parsnip interface. Its defining event was giving up ownership: the model definition functions moved into parsnip itself, leaving this package as engine bindings and prediction plumbing. The current dev release is entirely correctness and hygiene work — glmnet predictions now default to mean counts rather than the linear predictor, and single-observation prediction works at last.

Read the full poissonreg trajectory →

osmapiR vs poissonreg: editorial side-by-side

O
osmapiR
ANALYTICS
0.0

osmapiR is the rare API client that tracks its server's wiki revision numbers in the changelog.

◆ Current state

osmapiR wraps the full OpenStreetMap API from R — reading and writing map data, changesets, notes, GPX traces and user records — with OAuth2 where the endpoint requires it, pagination handled internally, and atomic calls vectorised. Recent releases have filled in the moderation and social surface: note subscription, user blocks, changeset discussion search. The newest release lets `bbox` arguments arrive as a character string, matrix, vector, an sf `bbox`, or a terra `SpatExtent`.

◆ Where it's heading

Four consecutive releases open with the same line — documentation and code updated for server-side changes, cited by OSM wiki revision range. That is a maintainer treating an evolving remote API as a versioned contract and auditing against it each cycle, which is unusual discipline and the main reason to trust this client over a hand-rolled wrapper. The second thread is fitting into R's spatial conventions rather than exposing OSM's, visible in the bbox coercion work and the httr2 upgrades landing with upstream help.

◆ Prediction

The pattern is stable enough to call: another release synchronised to the next OSM wiki revision range, adding whatever endpoints appeared and adjusting whatever changed shape.

P
poissonreg
ANALYTICS
0.0

poissonreg gave its models away to parsnip and kept the glue — now it just keeps glmnet honest.

◆ Current state

poissonreg is a tidymodels extension that wires Poisson and zero-inflated count regression into the parsnip interface. Its defining event was giving up ownership: the model definition functions moved into parsnip itself, leaving this package as engine bindings and prediction plumbing. The current dev release is entirely correctness and hygiene work — glmnet predictions now default to mean counts rather than the linear predictor, and single-observation prediction works at last.

◆ Where it's heading

Release cadence has collapsed from yearly to a four-year gap between 1.0.1 and the current development version, and the content has shifted from features to deduplication against parsnip — copied helper functions replaced by the upstream originals, obsolete generic registrations removed, tests migrated to the shared extension-package pattern. This is what a stabilized tidymodels satellite looks like: the interface lives upstream, and the package's job is to not drift from it.

◆ Prediction

The dev version's accumulated fixes point to a CRAN release of 1.0.2 as the next move, with content limited to the glmnet prediction corrections rather than any new engine or model type.

Alternatives to osmapiR and poissonreg

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 osmapiR or poissonreg.

See all osmapiR alternatives → · See all poissonreg alternatives →

Recent activity from osmapiR and poissonreg

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

  1. 3mo agopoissonregglmnet predictions now default to mean counts
  2. 5mo agoosmapiRbbox arguments accept sf and terra objects
  3. 0y agoosmapiRNote search defaults to creation order; JSON for GPX metadata
  4. 1y agoosmapiRNote subscriptions and user block endpoints added
  5. 1y agoosmapiRChangeset queries gain from and to parameters
  6. 1y agoosmapiRJOSS citation added; single-tag conversion fixed
  7. 2y agoosmapiRComplete OSM API coverage arrives in one release
  8. 3y agopoissonregDocumentation regenerated for valid HTML5
  9. 4y agopoissonregCase weight support tracks parsnip 1.0.0
  10. 4y agopoissonregModel definitions move out of poissonreg into parsnip
  11. 4y agopoissonregglm becomes the default engine; tidy() for hurdle models
  12. 5y agopoissonregFirst release, with a glmnet column-order safeguard

Frequently asked questions

What is the difference between osmapiR and poissonreg?

Both compete on the same themes — r-language — within Analytics. osmapiR and poissonreg 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 osmapiR better than poissonreg?

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

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

What are the best alternatives to poissonreg?

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