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geodist vs modeltime.ensemble

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

geodist vs modeltime.ensemble: at a glance

Featuregeodistmodeltime.ensemble
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesgeospatial, distance-calculation, zero-dependency, c-codetime series forecasting, ensembles, tidymodels, compatibility maintenance
Last editorial update1h ago9h ago
WebsiteVisit →Visit →

What is geodist?

geodist stays dependency-free and fast, and warns you when 'cheap' distances stop being honest.

geodist computes geodesic distances between coordinate pairs in C with no dependencies, offering several measures that trade accuracy for speed — including a 'cheap' approximation used by default. The API is small and largely finished; 0.1.0 added geodist_min() for nearest-match lookups and 0.1.1 is a compiler warning fix.

Read the full geodist trajectory →

What is modeltime.ensemble?

modeltime.ensemble wakes after four years, and the work is all tune 2.0 compatibility.

modeltime.ensemble builds average, weighted and stacked ensembles over modeltime forecast models. After a four-year gap it shipped twice in a fortnight during August and September 2025, both releases devoted to tracking breaking changes in tidymodels' tune package — new resampling column conventions, key uniqueness across resamples, recipe preparation. The tidyverse dependency was dropped in the same pass.

Read the full modeltime.ensemble trajectory →

geodist vs modeltime.ensemble: editorial side-by-side

G
geodist
ANALYTICS
0.0

geodist stays dependency-free and fast, and warns you when 'cheap' distances stop being honest.

◆ Current state

geodist computes geodesic distances between coordinate pairs in C with no dependencies, offering several measures that trade accuracy for speed — including a 'cheap' approximation used by default. The API is small and largely finished; 0.1.0 added geodist_min() for nearest-match lookups and 0.1.1 is a compiler warning fix.

◆ Where it's heading

Development has been about making the speed-accuracy trade visible rather than hiding it. The 0.0.6 release added messages telling users to pick a different measure once the default cheap approximation is applied beyond 100km, where its error stops being negligible. Around that, the work is input handling — tibble support, better lon/lat column matching, vector inputs — and hardening the C code. It is a package that treats being small and correct as the feature.

◆ Prediction

Expect continued low-frequency maintenance: compiler warnings and geodesic source updates account for three of the last six releases, and the function surface has grown by only two entries in five years.

M0.0

modeltime.ensemble wakes after four years, and the work is all tune 2.0 compatibility.

◆ Current state

modeltime.ensemble builds average, weighted and stacked ensembles over modeltime forecast models. After a four-year gap it shipped twice in a fortnight during August and September 2025, both releases devoted to tracking breaking changes in tidymodels' tune package — new resampling column conventions, key uniqueness across resamples, recipe preparation. The tidyverse dependency was dropped in the same pass.

◆ Where it's heading

This is a package whose forecasting capability was settled by 2021 — recursive ensembles, per-series calibration — and whose recent life is dictated entirely by upstream tidymodels churn. New contributors did that compatibility work, including one from the tidymodels side. It now requires tune 2.0.0 and modeltime.resample 0.3.0, pinning it to the current tidymodels generation rather than straddling versions.

◆ Prediction

Expect the next release to follow the next tune or modeltime.resample breaking change rather than to introduce new ensembling methods.

Alternatives to geodist and modeltime.ensemble

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 geodist or modeltime.ensemble.

See all geodist alternatives → · See all modeltime.ensemble alternatives →

Recent activity from geodist and modeltime.ensemble

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

  1. 11mo agomodeltime.ensembleRealigned for tune 2.0.0 resampling changes
  2. 11mo agomodeltime.ensembleDrops the tidyverse dependency ahead of tune 2.0
  3. 1y agogeodistgeodist 0.1.1 clears a clang warning in geodesic.c
  4. 2y agogeodistgeodist 0.1.0 adds geodist_min() for nearest matches
  5. 3y agogeodistgeodist 0.0.8 updates geodesic source, fixes clang warnings
  6. 5y agomodeltime.ensemblePer-series calibration IDs and parallel refitting
  7. 5y agomodeltime.ensembleRecursive ensembles for single and panel series
  8. 5y agogeodistgeodist 0.0.7 improves lon/lat column matching and tibbles
  9. 5y agogeodistgeodist 0.0.6 warns when cheap distances exceed 100km
  10. 6y agogeodistgeodist 0.0.4 adds geodist_vec() for vector inputs

Frequently asked questions

What is the difference between geodist and modeltime.ensemble?

They serve adjacent needs but don't currently overlap on shipped themes. geodist and modeltime.ensemble 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 geodist better than modeltime.ensemble?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. geodist and modeltime.ensemble 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 geodist?

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

What are the best alternatives to modeltime.ensemble?

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