RMVMR
RMVMR is being tidied in lockstep with MVMR, the package it wraps
Comparison · Analytics
dbt Core vs modeltime.resample
A side-by-side editorial comparison of dbt Core and modeltime.resample — release velocity, themes, recent moves, and the top alternatives to consider.
dbt Core vs modeltime.resample: at a glance
What is dbt Core?
dbt-core spent a day backporting one deprecation warning across eight EOL branches — the message is: upgrade.
dbt-core maintains an unusually wide set of live branches, and on August 14 it cut releases for 1.1 through 1.8 in a single day. Every one of them carries the same single feature: a warning when the user is running a deprecated dbt version. The older branches picked up a few long-standing backports alongside it — semver comparison, JSON log formatting, seeds from stored manifest data — and 1.4 through 1.6 dropped Python 3.8 testing now that it is end of life.
What is modeltime.resample?
modeltime.resample exists to keep backtesting working as tidymodels shifts underneath it.
modeltime.resample runs time series cross-validation over modeltime models, returning per-resample predictions and accuracy plots. Version 0.3.0 is the substantive release in view: tune 2.0.0 compatibility, deterministic seeding via withr, guaranteed .predictions output, and clearer failures when resample fits break. The three releases before it are dependency chores.
dbt Core vs modeltime.resample: editorial side-by-side
dbt Core
7.5ANALYTICS
dbt-core spent a day backporting one deprecation warning across eight EOL branches — the message is: upgrade.
◆ Current state
dbt-core maintains an unusually wide set of live branches, and on August 14 it cut releases for 1.1 through 1.8 in a single day. Every one of them carries the same single feature: a warning when the user is running a deprecated dbt version. The older branches picked up a few long-standing backports alongside it — semver comparison, JSON log formatting, seeds from stored manifest data — and 1.4 through 1.6 dropped Python 3.8 testing now that it is end of life.
◆ Where it's heading
This is a coordinated deprecation campaign rather than product work. Shipping the same warning to every ancient branch at once is how a maintainer starts reclaiming a support surface, and the parallel removal of Python 3.8 support points the same way. The actual development is happening on 1.11 and 1.12, where recent releases sync JSON schemas from dbt-fusion and fix adapter config recognition — the branch where the Fusion engine transition is visible.
◆ Prediction
Expect formal end-of-life announcements for the branches that just received the warning, and continued dbt-fusion schema convergence on 1.12. The backport waves should thin out once the deprecated branches are formally retired.
modeltime.resample
0.0ANALYTICS
modeltime.resample exists to keep backtesting working as tidymodels shifts underneath it.
◆ Current state
modeltime.resample runs time series cross-validation over modeltime models, returning per-resample predictions and accuracy plots. Version 0.3.0 is the substantive release in view: tune 2.0.0 compatibility, deterministic seeding via withr, guaranteed .predictions output, and clearer failures when resample fits break. The three releases before it are dependency chores.
◆ Where it's heading
Every entry here is compatibility work against something upstream — hardhat 1.0.0, workflows regression mode, then tune 2.0.0 twice. The 0.3.0 notes show a second concern emerging alongside it: making failures legible, with .notes on failed fits, actionable errors from unnest_modeltime_resamples(), and fallback logic when prediction columns go missing across versions. Reproducibility gets the same treatment through explicit seeding.
◆ Prediction
Expect the next release to track the next tidymodels breaking change, with any new work continuing on error reporting rather than resampling strategies.
Alternatives to dbt Core and modeltime.resample
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 dbt Core or modeltime.resample.
geoarrow-r
geoarrow tracks the GeoArrow spec and otherwise just keeps compiling
n2khab
n2khab keeps retracting interpretations of habitat data it can't actually support
tidypolars
tidypolars is grinding toward complete dplyr coverage, one supported function at a time
OneSampleMR
OneSampleMR found that argument order in a formula was silently changing its estimates
bpbounds
bpbounds found the same swapped-cell bug twice and clamped its bounds back into range
See all dbt Core alternatives → · See all modeltime.resample alternatives →
Recent activity from dbt Core and modeltime.resample
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 1d agodbt Coredbt 1.2.7 backports the deprecated-version warning and old fixes
- 1d agodbt Coredbt 1.1.6 backports the deprecated-version warning and old fixes
- 1d agodbt Coredbt 1.3.8 backports the deprecated-version warning
- 1d agodbt Coredbt 1.4.10 drops Python 3.8 and warns on deprecated versions
- 1d agodbt Coredbt 1.5.12 drops Python 3.8 and warns on deprecated versions
- 1d agodbt Coredbt 1.6.19 drops Python 3.8 and warns on deprecated versions
- 11mo agomodeltime.resampletune 2.0 support, deterministic seeding, clearer errors
- 11mo agomodeltime.resampleDependency cleanup ahead of the next tune release
- 3y agomodeltime.resampleFixes workflows in regression mode
- 4y agomodeltime.resampleUpdates for hardhat 1.0.0
Frequently asked questions
What is the difference between dbt Core and modeltime.resample?
They serve adjacent needs but don't currently overlap on shipped themes. dbt Core is currently shipping more aggressively (velocity 7.5 vs 0.0), with 0 editorial sparks in the last 30 days against 0. See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.
Is dbt Core better than modeltime.resample?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. dbt Core is currently shipping more aggressively (velocity 7.5 vs 0.0), with 0 editorial sparks in the last 30 days against 0. For your specific use case, the alternatives sections above list other Analytics products to evaluate alongside.
What are the best alternatives to dbt Core?
Top dbt Core alternatives in Analytics are ranked by recent ship velocity. Browse the "dbt Core alternatives" section above for the current picks, or visit /alternatives/dbt-core for the full list with editorial commentary on each.
What are the best alternatives to modeltime.resample?
Top modeltime.resample alternatives in Analytics are ranked by recent ship velocity. Browse the "modeltime.resample alternatives" section above for the current picks, or visit /alternatives/modeltime-resample for the full list with editorial commentary on each.