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cheapr vs inbospatial

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

Shared themes:r-package

cheapr vs inbospatial: at a glance

Featurecheaprinbospatial
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesperformance, parallelism, simd, c-apir-package, geospatial, ogc-api, wcs
Last editorial update3h ago1h ago
WebsiteVisit →Visit →

What is cheapr?

cheapr turned multi-threaded, and its next stop is a C++20 public API.

cheapr supplies lower-overhead replacements for base R's data manipulation primitives — subsetting, recycling, concatenation, attribute handling, data frame construction. Through 2025 it grew function by function: sset_df/sset_row/sset_col, list_as_df, cheapr_c, counts, str_coalesce, df_modify. The 1.5.0 release in April 2026 changed the nature of the package, adding parallelised math functions, user-settable thread counts, multi-threaded vector initialisers, and a SIMD-parallelised if_else_, with threading on by default at two threads.

Read the full cheapr trajectory →

What is inbospatial?

A thin R wrapper over Flemish geospatial services, adding one standard at a time

inbospatial gives R users direct access to Flemish and Belgian government spatial services without hand-writing request URLs. Three releases over three years have built it up service by service: WMS and WMTS tile shorthands and projection-distortion utilities first, then the Flanders digital elevation model, and now OGC API Features querying plus layer discovery for WCS services. Much of each release is hardening the MHT-file parsing that these services return.

Read the full inbospatial trajectory →

cheapr vs inbospatial: editorial side-by-side

C
cheapr
ANALYTICS
0.0

cheapr turned multi-threaded, and its next stop is a C++20 public API.

◆ Current state

cheapr supplies lower-overhead replacements for base R's data manipulation primitives — subsetting, recycling, concatenation, attribute handling, data frame construction. Through 2025 it grew function by function: sset_df/sset_row/sset_col, list_as_df, cheapr_c, counts, str_coalesce, df_modify. The 1.5.0 release in April 2026 changed the nature of the package, adding parallelised math functions, user-settable thread counts, multi-threaded vector initialisers, and a SIMD-parallelised if_else_, with threading on by default at two threads.

◆ Where it's heading

Two arcs run at once. The visible one is parallelism: what began as single-threaded C shortcuts is becoming a threaded compute layer, and the notes state the C/C++ API is mid-rewrite with a stable form promised at 2.0.0 behind a C++20 requirement. The quieter one is R C API compliance — 1.5.1 removed R_MissingArg, R_UnboundValue, Rf_findVar and Rf_findVarinFrame, the non-API entry points being closed off upstream. The 1.5.x patches since are narrow crash fixes, which reads as consolidation before the 2.0.0 break.

◆ Prediction

Expect 2.0.0 to land the stable C/C++ API behind a C++20 toolchain floor, with more of the existing function surface threaded in the interim. The package has announced both moves in its own release notes.

I
inbospatial
ANALYTICS
0.0

A thin R wrapper over Flemish geospatial services, adding one standard at a time

◆ Current state

inbospatial gives R users direct access to Flemish and Belgian government spatial services without hand-writing request URLs. Three releases over three years have built it up service by service: WMS and WMTS tile shorthands and projection-distortion utilities first, then the Flanders digital elevation model, and now OGC API Features querying plus layer discovery for WCS services. Much of each release is hardening the MHT-file parsing that these services return.

◆ Where it's heading

The package grows by absorbing one more service standard per release rather than by adding abstraction. The 0.1.0 additions point the same way — get_feature_ogc() covers a newer OGC standard alongside the existing WCS and WFS paths, and get_wcs_layers() addresses the practical problem that you cannot query a coverage without first knowing what layers exist. Release cadence is slow and driven by which service the maintainers needed next.

◆ Prediction

Expect the next release to add another regional service endpoint or extend OGC API Features coverage, on a timescale of a year or more given the gaps between the three releases so far.

Alternatives to cheapr and inbospatial

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 cheapr or inbospatial.

See all cheapr alternatives → · See all inbospatial alternatives →

Recent activity from cheapr and inbospatial

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

  1. 1mo agocheaprrep_len_ crash on shrinking lengths fixed
  2. 4mo agocheaprNon-API R internals removed
  3. 4mo agoinbospatialOGC API Features querying and WCS layer discovery arrive
  4. 4mo agocheaprParallelised math, thread control, and a C API rewrite
  5. 1y agocheaprSubsetting speedups; sset_col negative-index crash fixed
  6. 1y agocheaprdf_modify added; attribute helpers renamed for intent
  7. 1y agocheaprcounts and str_coalesce added; reconstruct renamed to rebuild
  8. 1y agoinbospatialFlanders digital elevation model becomes queryable
  9. 2y agoinbospatialWMS and WMTS shorthands plus projection distortion utilities

Frequently asked questions

What is the difference between cheapr and inbospatial?

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

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

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

What are the best alternatives to inbospatial?

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