OpenHouse
OpenHouse starts adding per-column defaults while still closing silent-failure holes.
Comparison · Analytics
broom.helpers vs Power BI
A side-by-side editorial comparison of broom.helpers and Power BI — release velocity, themes, recent moves, and the top alternatives to consider.
broom.helpers vs Power BI: at a glance
What is broom.helpers?
After eleven quiet months, the tidier under gtsummary is back to absorbing model classes.
broom.helpers standardises the output of regression models so downstream packages can render them, and its release notes read as a running list of newly supported model classes. Version 1.23.0 ends an eleven-month silence — the longest gap in the visible history — with support for multi-state Cox models through an experimental tidy_coxphms(), plus a coefficient-type helper for brmsfit. The selector-removal arc that ran from 1.17.0 through 1.22.0 is finished, leaving the package narrowed to pure translation work.
What is Power BI?
Power BI's monthly grind: authoring defaults, DAX documentation, and mobile finally catching up.
Power BI ships on a monthly cadence where each release is a long list of small, independently useful changes rather than a headline feature. The current batch runs from report-wide theme customization and DAX measure descriptions written as triple-slash comments, through matrix expand and collapse reaching general availability, to the mobile apps gaining Excel export and one-tap layout rotation. Nothing here redirects the product; all of it removes a specific piece of manual work.
broom.helpers vs Power BI: editorial side-by-side
broom.helpers
2.5ANALYTICS
After eleven quiet months, the tidier under gtsummary is back to absorbing model classes.
◆ Current state
broom.helpers standardises the output of regression models so downstream packages can render them, and its release notes read as a running list of newly supported model classes. Version 1.23.0 ends an eleven-month silence — the longest gap in the visible history — with support for multi-state Cox models through an experimental tidy_coxphms(), plus a coefficient-type helper for brmsfit. The selector-removal arc that ran from 1.17.0 through 1.22.0 is finished, leaving the package narrowed to pure translation work.
◆ Where it's heading
The accretive arc is intact but slower than the release list alone suggests: five releases landed between January and September 2025, then nothing until this week. What resumed is the same pattern — one or two model classes per release, shipped as experimental tidiers first (coxphms here, svy_vglm in 1.21.0, vgam in 1.20.0) and hardened later. With the dot-prefixed selectors removed and the marginal-means tidiers deprecated, the package has stopped shedding scope and is back to only adding it. Whether cadence returns to 2025 levels or this is an isolated maintenance release is not readable from these entries.
◆ Prediction
The next release most likely promotes tidy_coxphms() out of experimental status or absorbs another survival-family or Bayesian model class, following the pattern of the last six. The entries give no signal on whether the eleven-month gap was a pause or a new baseline.
Power BI
5.0ANALYTICS
Power BI's monthly grind: authoring defaults, DAX documentation, and mobile finally catching up.
◆ Current state
Power BI ships on a monthly cadence where each release is a long list of small, independently useful changes rather than a headline feature. The current batch runs from report-wide theme customization and DAX measure descriptions written as triple-slash comments, through matrix expand and collapse reaching general availability, to the mobile apps gaining Excel export and one-tap layout rotation. Nothing here redirects the product; all of it removes a specific piece of manual work.
◆ Where it's heading
The through-line is moving decisions from repetition to defaults. Theme customization sets report-wide visual defaults and exports them for reuse or for organizational themes; matrix row-header freeze becomes a saved authoring choice rather than a per-session right-click; measure documentation lives inside the DAX rather than in a separate step. A second, quieter thread is mobile parity — exporting to Excel with filters, slicers, drill state and row-level security intact is the kind of gap that kept people on the desktop. The formatting long tail continues in parallel, mostly axis, padding, and slicer styling controls.
◆ Prediction
Expect the preview features in this window — modern visual defaults and theme customization — to move toward general availability, and the formatting pane to keep absorbing controls that were previously theme-file edits.
Alternatives to broom.helpers 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 broom.helpers or Power BI.
Distributions.jl
Julia's distribution library keeps filing down the edges where sampling meets array types
ggquiver
ggquiver is awake again, fixing arrow scaling that quietly misread irregular data.
vecvec
A lazy vector container keeps closing the gaps where it quietly materialised anyway.
haze
Mesh interpolation drops its custom fork dependency and sheds weight.
scimesh
A mesh renderer grows a scene graph and an exit route into glTF.
See all broom.helpers alternatives → · See all Power BI alternatives →
Recent activity from broom.helpers and Power BI
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 11h agobroom.helpersMulti-state Cox models get an experimental tidier
- 29d agoPower BIPower BI embedding in SharePoint adds single-visual mode
- 29d agoPower BIDAX measure descriptions via triple-slash comments
- 29d 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
- 11mo agobroom.helpersQuantile regression support lands as legacy selectors are removed
- 1y agobroom.helpersExperimental tidier for survey-weighted VGAM models
- 1y agobroom.helpersNew grouping controls for tidied model results
- 1y agobroom.helpersMarginal means tidier hard deprecated
- 1y agobroom.helpersInstrumental variable support for fixest models
Frequently asked questions
What is the difference between broom.helpers 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 2.5), 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 broom.helpers 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 2.5), 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 broom.helpers?
Top broom.helpers alternatives in Analytics are ranked by recent ship velocity. Browse the "broom.helpers alternatives" section above for the current picks, or visit /alternatives/broom-helpers 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.