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Comparison · Infra & APIs

FoRecoML vs rapr

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

Shared themes:r-package

FoRecoML vs rapr: at a glance

FeatureFoRecoMLrapr
SectorInfra & APIsInfra & APIs
Velocity score0.00.0
Sparks · 30d00
Top themesforecasting, machine-learning, hierarchical-reconciliation, time-seriesremote-sensing, rangeland, geospatial, api-client
Last editorial update52m ago1d ago
WebsiteVisit →Visit →

What is FoRecoML?

The machine-learning arm of a forecast reconciliation toolkit, four months old and already sharing its sibling's plumbing.

FoRecoML brings machine-learning approaches to forecast reconciliation across cross-sectional, temporal, and cross-temporal frameworks through csrml(), terml(), and ctrml(). It reached CRAN in April 2026 and has since spent both releases integrating with FoReco rather than expanding its own method set: results are now FoReco's foreco objects, and print() and summary() report framework, approach, problem dimensions, features, training sample size, combination matrix, and trained models.

Read the full FoRecoML trajectory →

What is rapr?

rapr generalises its Rangeland Analysis Platform API access one endpoint at a time

rapr pulls Rangeland Analysis Platform data into R — vegetation cover and production rasters derived from Landsat and Sentinel-2, plus the tabular summary APIs. The 1.1.3 release replaces the single-purpose table function with a general get_rap_table() covering the cover, coverMeteorology, production and production16day endpoints. The package reached CRAN in 2025 and is maintained by brownag, who also maintains the GeoPackage interface gpkg.

Read the full rapr trajectory →

FoRecoML vs rapr: editorial side-by-side

F
FoRecoML
INFRA · APIS
0.0

The machine-learning arm of a forecast reconciliation toolkit, four months old and already sharing its sibling's plumbing.

◆ Current state

FoRecoML brings machine-learning approaches to forecast reconciliation across cross-sectional, temporal, and cross-temporal frameworks through csrml(), terml(), and ctrml(). It reached CRAN in April 2026 and has since spent both releases integrating with FoReco rather than expanding its own method set: results are now FoReco's foreco objects, and print() and summary() report framework, approach, problem dimensions, features, training sample size, combination matrix, and trained models.

◆ Where it's heading

This package is being built as a satellite, not a competitor. Adopting FoReco's exported new_foreco_class() constructor within days of that class appearing means FoRecoML results drop straight into the same print, summary, plot, and components methods as analytically reconciled ones — which is what makes machine-learning and classical reconciliation directly comparable in a single workflow. The 1.1.1 argument-validation work landed in the same minute as the equivalent change in FoReco, so the two are being maintained as one release train.

◆ Prediction

With the integration work done, the next release is more likely to add or expose machine-learning approaches than to keep reshaping output; the structured summary already enumerates features and trained models, which suggests inspection tooling is where attention has been.

R
rapr
INFRA · APIS
0.0

rapr generalises its Rangeland Analysis Platform API access one endpoint at a time

◆ Current state

rapr pulls Rangeland Analysis Platform data into R — vegetation cover and production rasters derived from Landsat and Sentinel-2, plus the tabular summary APIs. The 1.1.3 release replaces the single-purpose table function with a general get_rap_table() covering the cover, coverMeteorology, production and production16day endpoints. The package reached CRAN in 2025 and is maintained by brownag, who also maintains the GeoPackage interface gpkg.

◆ Where it's heading

The shape is familiar for a young API client: add access to one endpoint, then generalise it once a second endpoint proves the pattern. get_rap_production16day_table() arrived in 1.1.0 and was deprecated three releases later in favour of a product argument. Between those, the work was error handling — empty geometries, server-side HTTP failures, warning timing — the unglamorous half of wrapping a remote service. The 1.0.0 release had already set the ambition by exposing both the 30m Landsat and 10m Sentinel-2 sources behind one argument.

◆ Prediction

Expect the remaining RAP endpoints to be folded into get_rap_table() as they are needed, and the deprecated 16-day function to be removed once the general interface has been out long enough.

Alternatives to FoRecoML and rapr

Other Infra & APIs 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 FoRecoML or rapr.

See all FoRecoML alternatives → · See all rapr alternatives →

Recent activity from FoRecoML and rapr

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

  1. 1mo agoFoRecoMLStructured print and summary for fitted reconciliation models
  2. 1mo agoFoRecoMLAdopts FoReco's foreco class for all reconciliation output
  3. 3mo agoFoRecoMLMachine-learning forecast reconciliation arrives on CRAN
  4. 5mo agoraprUnified get_rap_table() replaces the single-endpoint function
  5. 6mo agoraprrapr 1.1.2
  6. 9mo agoraprTabular 16-day production API access, plus error handling
  7. 1y agoraprCRAN release adds 10m Sentinel-2 source and grid templating
  8. 1y agoraprFinal 0.1.x snapshot before the 1.x rewrite

Frequently asked questions

What is the difference between FoRecoML and rapr?

Both compete on the same themes — r-package — within Infra & APIs. FoRecoML and rapr 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 FoRecoML better than rapr?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. FoRecoML and rapr 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 Infra & APIs products to evaluate alongside.

What are the best alternatives to FoRecoML?

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

What are the best alternatives to rapr?

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