tidyr
tidyr replaced separate() with a family that says what it does.
Comparison · Analytics
modeltime vs Power BI
A side-by-side editorial comparison of modeltime and Power BI — release velocity, themes, recent moves, and the top alternatives to consider.
modeltime vs Power BI: at a glance
What is modeltime?
modeltime built conformal intervals in, then went quiet on features.
modeltime is at 1.3.3, a single change making the package robust to xgboost version shifts. The feature weight sits in 1.3.2, which added a future-based parallel backend, the maape() accuracy metric and dials helpers for ADAM engine tuning, and further back in the 1.2.8 and 1.3.0 pair that introduced conformal prediction intervals and then carried them through the nested forecasting workflow.
What is Power BI?
Power BI's monthly grind: authoring defaults, DAX documentation, and cleaner axes.
The recent stream is classic Power BI monthly-release material — small, specific authoring improvements spread across embedding, modeling and visual formatting. Nothing restructures the product; each item removes a particular annoyance for report authors.
modeltime vs Power BI: editorial side-by-side
modeltime
0.0ANALYTICS
modeltime built conformal intervals in, then went quiet on features.
◆ Current state
modeltime is at 1.3.3, a single change making the package robust to xgboost version shifts. The feature weight sits in 1.3.2, which added a future-based parallel backend, the maape() accuracy metric and dials helpers for ADAM engine tuning, and further back in the 1.2.8 and 1.3.0 pair that introduced conformal prediction intervals and then carried them through the nested forecasting workflow.
◆ Where it's heading
The arc runs from uncertainty quantification to execution. Conformal intervals arrived first and were then threaded through nested fitting, refitting and the printed forecast tables so users can see which confidence method produced an interval. The later work moves down a layer to how forecasts are computed — a portable future backend replacing foreach tuning — rather than what they express.
◆ Prediction
With only an xgboost compatibility fix since the 1.3.2 feature release, the entries do not support a confident prediction about what comes next beyond continued dependency maintenance.
Power BI
5.0ANALYTICS
Power BI's monthly grind: authoring defaults, DAX documentation, and cleaner axes.
◆ Current state
The recent stream is classic Power BI monthly-release material — small, specific authoring improvements spread across embedding, modeling and visual formatting. Nothing restructures the product; each item removes a particular annoyance for report authors.
◆ Where it's heading
The through-line is reducing per-report manual work. Theme customization moves formatting decisions to report-wide defaults, triple-slash measure descriptions let documentation live in DAX rather than a separate step, and the SharePoint embed flow drops URL copying for direct workspace selection.
◆ Prediction
Expect Modern Visual Defaults to move from preview toward general availability and to absorb more per-visual formatting into report-level control.
Alternatives to modeltime and Power BI
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 modeltime or Power BI.
performance
performance keeps adding ways to check a model you have already fitted.
cmdstanpy
CmdStanPy is clearing deprecations ahead of a 2.0 it keeps announcing.
dowhy
DoWhy adds one estimation method a year and keeps its identification edge.
OpenHouse
OpenHouse is hardening the seams where table policies and jobs quietly fail.
silx
silx 3.0 moved its default Qt binding to PySide6 — a migration for everyone embedding it.
See all modeltime alternatives → · See all Power BI alternatives →
Recent activity from modeltime and Power BI
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 20d agoPower BIPower BI embedding in SharePoint adds single-visual mode
- 20d agoPower BIDAX measure descriptions via triple-slash comments
- 20d agoPower BICustomize current theme sets report-wide visual defaults
- 3mo agoPower BIZoomCharts Drill Down Waterfall PRO adds automatic subtotals
- 3mo agoPower BIPreview visuals now labeled in the Visualizations pane
- 3mo agoPower BIBar and column charts get Rounded range axis control
- 7mo agomodeltimeRobustness to xgboost version changes
- 11mo agomodeltimefuture parallel backend, maape() metric and ADAM tuning helpers
- 2y agomodeltimeConformal intervals reach the nested forecasting workflow
- 2y agomodeltimeConformal prediction intervals introduced
- 3y agomodeltimeFixes the Smooth es() model
- 3y agomodeltimeFixes failing developer-tools tests
Frequently asked questions
What is the difference between modeltime and Power BI?
They serve adjacent needs but don't currently overlap on shipped themes. Power BI is currently shipping more aggressively (velocity 5.0 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 modeltime better than Power BI?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. Power BI is currently shipping more aggressively (velocity 5.0 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 modeltime?
Top modeltime alternatives in Analytics are ranked by recent ship velocity. Browse the "modeltime alternatives" section above for the current picks, or visit /alternatives/modeltime for the full list with editorial commentary on each.
What are the best alternatives to Power BI?
Top Power BI alternatives in Analytics are ranked by recent ship velocity. Browse the "Power BI alternatives" section above for the current picks, or visit /alternatives/power-bi for the full list with editorial commentary on each.