ANALYTICS
chattr deleted every LLM integration it had written and outsourced the lot to ellmer
Alternatives · analytics tools
osmextract alternatives
The best osmextract alternatives in analytics tools, ranked by Sparkpulse's velocity_score.
Updated Aug 14, 2026
Looking for the best alternatives to osmextract? Sparkpulse tracks and ranks 12 alternatives in analytics tools by shipping velocity — how frequently each ships meaningful updates, verified from official changelogs. For reference, osmextract 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 osmextract
osmextract stopped throwing your OpenStreetMap downloads away at the end of every session.
osmextract downloads OpenStreetMap extracts from Geofabrik, BBBike and openstreetmap.fr and translates them into sf objects via GDAL. The 0.6.0 release moved its download cache from `tempdir()` to a persistent `tools::R_user_dir()` location and raised the R floor to 4.1.0 to get it. It also made spatial `place` inputs self-clipping: pass an sf or bbox object and the boundary is now set to match, so only the relevant slice of a country-sized extract is processed.
Velocity 0.0 · Last update 1h ago
Top 12 alternatives to osmextract
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
ANALYTICS
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
osmextract 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 |
|---|---|---|---|---|
| osmextract (baseline) | 0.0 | 0 | openstreetmapgeospatialr-language | Downloads move to a persistent cache outside tempdir |
| 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 osmextract 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 osmextract leans on openstreetmap, geospatial and r language, chattr focuses on llm, rstudio and ide integration.
chattr and osmextract 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 osmextract leans on openstreetmap, geospatial and r language, cloudml focuses on machine learning, google cloud and tensorflow.
cloudml and osmextract 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 osmextract leans on openstreetmap, geospatial and r language, tidymodels focuses on tidymodels, meta package and dependency management.
tidymodels and osmextract 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 osmextract 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 osmextract leans on openstreetmap, geospatial and r language, datapack focuses on research data, dataone and provenance.
datapack and osmextract have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full datapack trajectory → · Compare osmextract vs datapack →
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 osmextract leans on openstreetmap, geospatial and r language, USAboundaries focuses on geospatial, census data and sf.
USAboundaries and osmextract 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 osmextract 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 osmextract leans on openstreetmap, geospatial and r language, slider focuses on sliding windows, tidyverse and c api compliance.
slider and osmextract 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 osmextract leans on openstreetmap, geospatial and r language, simtrial focuses on clinical trials, group sequential and survival analysis.
simtrial and osmextract have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full simtrial trajectory → · Compare osmextract vs simtrial →
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 osmextract leans on openstreetmap, geospatial and r language, nodbi focuses on document databases, json and duckdb.
nodbi and osmextract 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 osmextract leans on openstreetmap, geospatial and r language, sparsevctrs focuses on sparse data, tidymodels and altrep.
sparsevctrs and osmextract 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 osmextract 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 osmextract leans on openstreetmap, geospatial and r language, dwctaxon focuses on darwin core, taxonomy and data validation.
dwctaxon and osmextract have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full dwctaxon trajectory → · Compare osmextract vs dwctaxon →
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 osmextract leans on openstreetmap, geospatial and r language, bundle focuses on serialization, tidymodels and model deployment.
bundle and osmextract 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 osmextract leans on openstreetmap, geospatial and r language, lime focuses on explainability, machine learning and maintenance mode.
lime and osmextract 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 osmextract?
The top osmextract alternatives we currently track in analytics tools are chattr, cloudml, tidymodels, datapack, USAboundaries, ranked by recent ship velocity.
How is this list of osmextract alternatives ranked?
Alternatives are ranked by Sparkpulse's velocity_score — release cadence + 30-day spark count + sector-relative ship rate.
Can I compare osmextract directly with one of these alternatives?
Yes — every card has a "Compare with osmextract" link to a side-by-side /compare page.