ANALYTICS
mlr3mbo picked its defaults from a benchmark study, not from taste
Alternatives · analytics tools
forecast alternatives
The best forecast alternatives in analytics tools, ranked by Sparkpulse's velocity_score.
Updated Aug 13, 2026
Looking for the best alternatives to forecast? Sparkpulse tracks and ranks 12 alternatives in analytics tools by shipping velocity — how frequently each ships meaningful updates, verified from official changelogs. For reference, forecast 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 forecast
After years of pure maintenance, forecast 9.0.0 reopens the package
forecast is the long-established R forecasting package that fable was meant to succeed. For several years its releases were RNG fixes, base-R compatibility and documentation. Then 9.0.0 arrived with a batch of new model constructors, wider prediction-interval support and a rewritten accuracy() built on S3 methods.
Velocity 0.0 · Last update 1h ago
Top 12 alternatives to forecast
Ranked by recent ship velocity. Tap any card for the full editorial breakdown, or pivot to a head-to-head.
ANALYTICS
loo keeps rewriting the diagnostics Bayesian modellers read off model comparison
ANALYTICS
comtradr's 1.0 line is a long tail of patches against a brittle UN trade API.
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bbotk is generalizing from an optimizer toolkit into an evaluation framework.
ANALYTICS
The tidymodels pipeline grew a third stage, and it happens after the model runs.
ANALYTICS
Posit's MLOps package went quiet for two years, then came back to keep up with recipes.
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patchwork stopped being a ggplot composer and became a page composer.
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mlr3fselect turned feature selection into an asynchronous, distributable job
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lime survives on compatibility patches years after its research moment
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mlr3measures is systematically retrofitting sample weights across every metric
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mlr3cluster went from a handful of clusterers to covering the field
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mlr3filters grows one feature-selection filter at a time
forecast 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 |
|---|---|---|---|---|
| forecast (baseline) | 0.0 | 0 | forecastingtime-seriesr-stats | forecast 9.0.0 adds five model constructors and rewrites accuracy() |
| mlr3mbo | 2.5 | 0 | bayesian-optimizationmlr3hyperparameter-tuning | mlr3mbo 1.0.0 ships benchmark-derived default settings |
| loo | 2.5 | 0 | bayesiancross-validationstan | loo_compare returns a data.frame with new uncertainty columns |
| comtradr | 2.5 | 0 | trade dataapi wrapperun comtrade | — |
| bbotk | 2.5 | 0 | black-box optimizationmlr3async execution | EvalInstance base class separates evaluation from optimization |
| workflows | 0.0 | 0 | tidymodelspipelinespostprocessing | Workflows gain a postprocessing stage via tailor |
| vetiver | 0.0 | 0 | mlopsmodel-deploymenttidymodels | — |
| patchwork | 0.0 | 0 | ggplot2compositiontables | gt tables become first-class patchwork objects |
| mlr3fselect | 0.0 | 0 | feature-selectionmlr3machine-learning | Asynchronous feature selection arrives with FSelectorAsync |
| lime | 0.0 | 0 | interpretabilitymachine-learningr-stats | — |
| mlr3measures | 0.0 | 0 | metricsmlr3machine-learning | — |
| mlr3cluster | 0.0 | 0 | clusteringmlr3machine-learning | Nine new clustering learners in one release |
| mlr3filters | 0.0 | 0 | feature-selectionmlr3machine-learning | — |
The 12 best forecast alternatives, in depth
1. mlr3mbo · velocity 2.5
Mlr3mbo picked its defaults from a benchmark study, not from taste.
Its velocity score of 2.5/10 reflects longer-term release cadence; its most recent meaningful update was “mlr3mbo 1.0.0 ships benchmark-derived default settings”.
Where forecast leans on forecasting, time series and r stats, mlr3mbo focuses on bayesian optimization, mlr3 and hyperparameter tuning.
mlr3mbo and forecast have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
2. loo · velocity 2.5
Loo keeps rewriting the diagnostics Bayesian modellers read off model comparison.
Its velocity score of 2.5/10 reflects longer-term release cadence; its most recent meaningful update was “loo_compare returns a data.frame with new uncertainty columns”.
Where forecast leans on forecasting, time series and r stats, loo focuses on bayesian, cross validation and stan.
loo and forecast have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
3. comtradr · velocity 2.5
Comtradr's 1.0 line is a long tail of patches against a brittle UN trade API.
Its velocity score of 2.5/10 reflects longer-term release cadence.
Where forecast leans on forecasting, time series and r stats, comtradr focuses on trade data, api wrapper and un comtrade.
comtradr and forecast have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
4. bbotk · velocity 2.5
Bbotk is generalizing from an optimizer toolkit into an evaluation framework.
Its velocity score of 2.5/10 reflects longer-term release cadence; its most recent meaningful update was “EvalInstance base class separates evaluation from optimization”.
Where forecast leans on forecasting, time series and r stats, bbotk focuses on black box optimization, mlr3 and async execution.
bbotk and forecast have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
5. workflows · velocity 0.0
The tidymodels pipeline grew a third stage, and it happens after the model runs.
Its velocity score of 0.0/10 reflects longer-term release cadence; its most recent meaningful update was “Workflows gain a postprocessing stage via tailor”.
Where forecast leans on forecasting, time series and r stats, workflows focuses on tidymodels, pipelines and postprocessing.
workflows and forecast have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full workflows trajectory → · Compare forecast vs workflows →
6. vetiver · velocity 0.0
Posit's MLOps package went quiet for two years, then came back to keep up with recipes.
Its velocity score of 0.0/10 reflects longer-term release cadence.
Where forecast leans on forecasting, time series and r stats, vetiver focuses on mlops, model deployment and tidymodels.
vetiver and forecast have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
7. patchwork · velocity 0.0
Patchwork stopped being a ggplot composer and became a page composer.
Its velocity score of 0.0/10 reflects longer-term release cadence; its most recent meaningful update was “gt tables become first-class patchwork objects”.
Where forecast leans on forecasting, time series and r stats, patchwork focuses on ggplot2, composition and tables.
patchwork and forecast have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full patchwork trajectory → · Compare forecast vs patchwork →
8. mlr3fselect · velocity 0.0
Mlr3fselect turned feature selection into an asynchronous, distributable job.
Its velocity score of 0.0/10 reflects longer-term release cadence; its most recent meaningful update was “Asynchronous feature selection arrives with FSelectorAsync”.
Where forecast leans on forecasting, time series and r stats, mlr3fselect focuses on feature selection, mlr3 and machine learning.
mlr3fselect and forecast have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full mlr3fselect trajectory → · Compare forecast vs mlr3fselect →
9. lime · velocity 0.0
Lime survives on compatibility patches years after its research moment.
Its velocity score of 0.0/10 reflects longer-term release cadence.
Where forecast leans on forecasting, time series and r stats, lime focuses on interpretability, machine learning and r stats.
lime and forecast have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
10. mlr3measures · velocity 0.0
Mlr3measures is systematically retrofitting sample weights across every metric.
Its velocity score of 0.0/10 reflects longer-term release cadence.
Where forecast leans on forecasting, time series and r stats, mlr3measures focuses on metrics, mlr3 and machine learning.
mlr3measures and forecast have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full mlr3measures trajectory → · Compare forecast vs mlr3measures →
11. mlr3cluster · velocity 0.0
Mlr3cluster went from a handful of clusterers to covering the field.
Its velocity score of 0.0/10 reflects longer-term release cadence; its most recent meaningful update was “Nine new clustering learners in one release”.
Where forecast leans on forecasting, time series and r stats, mlr3cluster focuses on clustering, mlr3 and machine learning.
mlr3cluster and forecast have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full mlr3cluster trajectory → · Compare forecast vs mlr3cluster →
12. mlr3filters · velocity 0.0
Mlr3filters grows one feature-selection filter at a time.
Its velocity score of 0.0/10 reflects longer-term release cadence.
Where forecast leans on forecasting, time series and r stats, mlr3filters focuses on feature selection, mlr3 and machine learning.
mlr3filters and forecast have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full mlr3filters trajectory → · Compare forecast vs mlr3filters →
Frequently asked questions
What are the best alternatives to forecast?
The top forecast alternatives we currently track in analytics tools are mlr3mbo, loo, comtradr, bbotk, workflows, ranked by recent ship velocity.
How is this list of forecast alternatives ranked?
Alternatives are ranked by Sparkpulse's velocity_score — release cadence + 30-day spark count + sector-relative ship rate.
Can I compare forecast directly with one of these alternatives?
Yes — every card has a "Compare with forecast" link to a side-by-side /compare page.