ANALYTICS
chattr deleted every LLM integration it had written and outsourced the lot to ellmer
Alternatives · analytics tools
osmapiR alternatives
The best osmapiR alternatives in analytics tools, ranked by Sparkpulse's velocity_score.
Updated Aug 14, 2026
Looking for the best alternatives to osmapiR? Sparkpulse tracks and ranks 12 alternatives in analytics tools by shipping velocity — how frequently each ships meaningful updates, verified from official changelogs. For reference, osmapiR shipped 0 meaningful updates in the last 30 days and carries a velocity score of 0.0 out of 10 in 2026. The alternatives below are ranked the same way, so you're comparing real release momentum, not marketing claims.
About 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`.
Velocity 0.0 · Last update 1h ago
Top 12 alternatives to osmapiR
Ranked by recent ship velocity. Tap any card for the full editorial breakdown, or pivot to a head-to-head.
ANALYTICS
Six years since the last functional change, and Google renamed the service it wraps in the release before that
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The meta-package ships almost nothing, which is exactly what a version-pinning shim should do
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The DataONE bundler learned to edit packages in 2017 and has coasted on that ever since
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Seven years dormant, then two releases dragging every census boundary from 2020 to 2024
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Feature-complete since 2021, and every release since has been paying CRAN's C API bill
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A fixed-design trial simulator grew a pluggable test framework, then spent a year proving the numbers
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One document API over six databases, and every release is spent absorbing their JSON engines' churn
ANALYTICS
Sparse vectors stopped being a storage trick and became something you can do arithmetic on
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A Darwin Core validator that went quiet for two years, then surfaced only to raise its R floor
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Four releases in three years, each one teaching the serializer about a model type it couldn't carry
ANALYTICS
The R port of LIME has shipped one commit in three years, and it was an xgboost compatibility patch
osmapiR vs alternatives — shipping velocity at a glance
Velocity score (0–10) and meaningful releases shipped in the last 30 days, from official changelogs. Higher = shipping faster.
| Product | Velocity | Sparks · 30d | Focus areas | Latest release |
|---|---|---|---|---|
| osmapiR (baseline) | 0.0 | 0 | openstreetmapapi-clientr-language | Complete OSM API coverage arrives in one release |
| chattr | 0.0 | 0 | llmrstudioide-integration | All model integration moves to ellmer, direct backends removed |
| cloudml | 0.0 | 0 | machine-learninggoogle-cloudtensorflow | — |
| tidymodels | 0.0 | 0 | tidymodelsmeta-packagedependency-management | — |
| datapack | 0.0 | 0 | research-datadataoneprovenance | Assembled data packages become editable in place |
| USAboundaries | 0.0 | 0 | geospatialcensus-datasf | Data split into a companion package; all boundaries become sf |
| slider | 0.0 | 0 | sliding-windowstidyversec-api-compliance | — |
| simtrial | 0.0 | 0 | clinical-trialsgroup-sequentialsurvival-analysis | RMST and milestone tests, plus a user-definable cut and test framework |
| nodbi | 0.0 | 0 | document-databasesjsonduckdb | Query results get consistent column types; fast NDJSON import reaches SQLite and Postgres |
| sparsevctrs | 0.0 | 0 | sparse-datatidymodelsaltrep | Scalar and element-wise arithmetic for sparse vectors |
| dwctaxon | 0.0 | 0 | darwin-coretaxonomydata-validation | — |
| bundle | 0.0 | 0 | serializationtidymodelsmodel-deployment | — |
| lime | 0.0 | 0 | explainabilitymachine-learningmaintenance-mode | — |
The 12 best osmapiR alternatives, in depth
1. chattr · velocity 0.0
Chattr deleted every LLM integration it had written and outsourced the lot to ellmer.
Its velocity score of 0.0/10 reflects longer-term release cadence; its most recent meaningful update was “All model integration moves to ellmer, direct backends removed”.
Where osmapiR leans on openstreetmap, api client and r language, chattr focuses on llm, rstudio and ide integration.
chattr and osmapiR have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
2. cloudml · velocity 0.0
Six years since the last functional change, and Google renamed the service it wraps in the release before that.
Its velocity score of 0.0/10 reflects longer-term release cadence.
Where osmapiR leans on openstreetmap, api client and r language, cloudml focuses on machine learning, google cloud and tensorflow.
cloudml and osmapiR have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
3. tidymodels · velocity 0.0
The meta-package ships almost nothing, which is exactly what a version-pinning shim should do.
Its velocity score of 0.0/10 reflects longer-term release cadence.
Where osmapiR leans on openstreetmap, api client and r language, tidymodels focuses on tidymodels, meta package and dependency management.
tidymodels and osmapiR have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full tidymodels trajectory → · Compare osmapiR vs tidymodels →
4. datapack · velocity 0.0
The DataONE bundler learned to edit packages in 2017 and has coasted on that ever since.
Its velocity score of 0.0/10 reflects longer-term release cadence; its most recent meaningful update was “Assembled data packages become editable in place”.
Where osmapiR leans on openstreetmap, api client and r language, datapack focuses on research data, dataone and provenance.
datapack and osmapiR have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
5. USAboundaries · velocity 0.0
Seven years dormant, then two releases dragging every census boundary from 2020 to 2024.
Its velocity score of 0.0/10 reflects longer-term release cadence; its most recent meaningful update was “Data split into a companion package; all boundaries become sf”.
Where osmapiR leans on openstreetmap, api client and r language, USAboundaries focuses on geospatial, census data and sf.
USAboundaries and osmapiR have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full USAboundaries trajectory → · Compare osmapiR vs USAboundaries →
6. slider · velocity 0.0
Feature-complete since 2021, and every release since has been paying CRAN's C API bill.
Its velocity score of 0.0/10 reflects longer-term release cadence.
Where osmapiR leans on openstreetmap, api client and r language, slider focuses on sliding windows, tidyverse and c api compliance.
slider and osmapiR have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
7. simtrial · velocity 0.0
A fixed-design trial simulator grew a pluggable test framework, then spent a year proving the numbers.
Its velocity score of 0.0/10 reflects longer-term release cadence; its most recent meaningful update was “RMST and milestone tests, plus a user-definable cut and test framework”.
Where osmapiR leans on openstreetmap, api client and r language, simtrial focuses on clinical trials, group sequential and survival analysis.
simtrial and osmapiR have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
8. nodbi · velocity 0.0
One document API over six databases, and every release is spent absorbing their JSON engines' churn.
Its velocity score of 0.0/10 reflects longer-term release cadence; its most recent meaningful update was “Query results get consistent column types; fast NDJSON import reaches SQLite and Postgres”.
Where osmapiR leans on openstreetmap, api client and r language, nodbi focuses on document databases, json and duckdb.
nodbi and osmapiR have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
9. sparsevctrs · velocity 0.0
Sparse vectors stopped being a storage trick and became something you can do arithmetic on.
Its velocity score of 0.0/10 reflects longer-term release cadence; its most recent meaningful update was “Scalar and element-wise arithmetic for sparse vectors”.
Where osmapiR leans on openstreetmap, api client and r language, sparsevctrs focuses on sparse data, tidymodels and altrep.
sparsevctrs and osmapiR have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full sparsevctrs trajectory → · Compare osmapiR vs sparsevctrs →
10. dwctaxon · velocity 0.0
A Darwin Core validator that went quiet for two years, then surfaced only to raise its R floor.
Its velocity score of 0.0/10 reflects longer-term release cadence.
Where osmapiR leans on openstreetmap, api client and r language, dwctaxon focuses on darwin core, taxonomy and data validation.
dwctaxon and osmapiR have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
11. bundle · velocity 0.0
Four releases in three years, each one teaching the serializer about a model type it couldn't carry.
Its velocity score of 0.0/10 reflects longer-term release cadence.
Where osmapiR leans on openstreetmap, api client and r language, bundle focuses on serialization, tidymodels and model deployment.
bundle and osmapiR have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
12. lime · velocity 0.0
The R port of LIME has shipped one commit in three years, and it was an xgboost compatibility patch.
Its velocity score of 0.0/10 reflects longer-term release cadence.
Where osmapiR leans on openstreetmap, api client and r language, lime focuses on explainability, machine learning and maintenance mode.
lime and osmapiR have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Frequently asked questions
What are the best alternatives to osmapiR?
The top osmapiR alternatives we currently track in analytics tools are chattr, cloudml, tidymodels, datapack, USAboundaries, ranked by recent ship velocity.
How is this list of osmapiR alternatives ranked?
Alternatives are ranked by Sparkpulse's velocity_score — release cadence + 30-day spark count + sector-relative ship rate.
Can I compare osmapiR directly with one of these alternatives?
Yes — every card has a "Compare with osmapiR" link to a side-by-side /compare page.