ManageEngine RecoveryManager Plus
RecoveryManager Plus keeps widening its backup coverage across the Microsoft identity estate.
Comparison · Analytics
broom.helpers vs Omni
A side-by-side editorial comparison of broom.helpers and Omni — release velocity, themes, recent moves, and the top alternatives to consider.
broom.helpers vs Omni: at a glance
What is broom.helpers?
The tidying engine under gtsummary keeps widening its model coverage while retiring its own selector layer.
broom.helpers standardises the output of regression models so downstream packages can render them, and its release notes are essentially a running list of newly supported model classes. Recent versions added quantreg, svyVGAM, VGAM, glmtoolbox and mmrm support alongside a steady stream of fixes for fixest and survey models. In parallel it has spent three releases dismantling its own selector helpers in favour of the cards package.
What is Omni?
Omni ships weekly, and almost every week the headline item is an AI feature.
Omni publishes a dated weekly digest whose body is a single line listing that week's items, so each entry compresses several releases into a sentence. Across the window the pattern is unmistakable: AI-powered semantic model generation reaching general availability, AI Routines creatable from chat and deliverable to Slack, AI model suggestion endpoints, AI credit controls scoped to embed entity groups and individual users, AI Evals on Azure, and MCP surfaces appearing both in-app and as a searchDashboards tool. The most recent week breaks that streak — default filters on composite topics, stopping a running dashboard query, full-screen preview editing — the first digest in two months led by conventional BI work.
broom.helpers vs Omni: editorial side-by-side
broom.helpers
0.0ANALYTICS
The tidying engine under gtsummary keeps widening its model coverage while retiring its own selector layer.
◆ Current state
broom.helpers standardises the output of regression models so downstream packages can render them, and its release notes are essentially a running list of newly supported model classes. Recent versions added quantreg, svyVGAM, VGAM, glmtoolbox and mmrm support alongside a steady stream of fixes for fixest and survey models. In parallel it has spent three releases dismantling its own selector helpers in favour of the cards package.
◆ Where it's heading
Two arcs run in parallel. The first is accretive: each release absorbs another modelling package, which is the natural job of a translation layer and shows no sign of slowing. The second is subtractive and now complete — the dot-prefixed selector functions were deprecated in 1.17.0, hard deprecated in 1.20.0, and removed in 1.22.0, alongside the deprecation of tidy_marginal_means() and tidy_margins() as their upstream packages moved or left CRAN. The package is consolidating on parameters and marginaleffects as its computational backends while shedding machinery that now belongs to gtsummary's ecosystem.
◆ Prediction
The next release will most likely add support for another model class and continue trimming tidiers whose upstream packages have been superseded, following the pattern of the last six.
Omni
6.3ANALYTICS
Omni ships weekly, and almost every week the headline item is an AI feature.
◆ Current state
Omni publishes a dated weekly digest whose body is a single line listing that week's items, so each entry compresses several releases into a sentence. Across the window the pattern is unmistakable: AI-powered semantic model generation reaching general availability, AI Routines creatable from chat and deliverable to Slack, AI model suggestion endpoints, AI credit controls scoped to embed entity groups and individual users, AI Evals on Azure, and MCP surfaces appearing both in-app and as a searchDashboards tool. The most recent week breaks that streak — default filters on composite topics, stopping a running dashboard query, full-screen preview editing — the first digest in two months led by conventional BI work.
◆ Where it's heading
Two things have been happening in parallel and they are related. Omni pushed AI into the modelling layer rather than only the query layer, which is what semantic model generation reaching GA signified, then built the commercial and access controls those features require — credit limits per user and per embed entity group arrived within weeks of the capabilities that consume them. The MCP work points at a third direction, exposing Omni's content to external agents rather than only serving its own chat. The latest week's return to filters and query controls suggests the AI surface has reached the point where the surrounding product has to catch up to it.
◆ Prediction
With searchDashboards already shipped as an MCP tool, more of Omni's catalog is the obvious next thing to expose that way, and credit controls should keep extending to cover newer AI surfaces. Whether the non-AI week is a pause or a genuine rebalancing is not something one digest can settle.
Alternatives to broom.helpers and Omni
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 Omni.
silx
silx settles into maintenance a release after its PySide6 migration
Plotly
Plotly is turning its cloud into a metered compute platform with an enterprise on-ramp.
aniread
aniread stops asking you to know which tracker wrote the file
Rho
Rho's release machinery finally produced a stable build — and it shipped no new product.
Usermaven
Usermaven closed the loop: data comes in from anywhere, and now it goes back out.
See all broom.helpers alternatives → · See all Omni alternatives →
Recent activity from broom.helpers and Omni
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 18h agoOmniOmni adds default filters on composite topics and query stopping
- 8d agoOmniOmni adds presentation mode and a searchDashboards MCP tool
- 15d agoOmniOmni adds AI credit controls per user and embed entity group
- 22d agoOmniAI semantic model generation goes generally available in Omni ⚡
- 29d agoOmniOmni adds AI suggestion endpoints and OAuth for database connections
- 1mo agoOmniOmni brings AI routines to Slack and adds in-app MCP settings
- 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
- 1y agobroom.helpersbroom.helpers 1.17.0 ⚡
Frequently asked questions
What is the difference between broom.helpers and Omni?
They serve adjacent needs but don't currently overlap on shipped themes. Omni is currently shipping more aggressively (velocity 6.3 vs 0.0), with 1 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 Omni?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. Omni is currently shipping more aggressively (velocity 6.3 vs 0.0), with 1 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 Omni?
Top Omni alternatives in Analytics are ranked by recent ship velocity. Browse the "Omni alternatives" section above for the current picks, or visit /alternatives/omni for the full list with editorial commentary on each.