RMVMR
RMVMR is being tidied in lockstep with MVMR, the package it wraps
Comparison · Analytics
Dovetail vs kernelshap
A side-by-side editorial comparison of Dovetail and kernelshap — release velocity, themes, recent moves, and the top alternatives to consider.
Dovetail vs kernelshap: at a glance
What is Dovetail?
Dovetail is wiring itself into every tool its users already work in, and now pushes back out to them.
Dovetail sits at the center of a heavy integration cycle. Agents reached general availability in July, Channels 2.0 entered closed beta, and Docs went from launch to steady polish. Around that core, the connectors keep multiplying: Snowflake into Channels, HubSpot tickets and contact enrichment, a Microsoft Copilot connector, and MCP tools reachable from chat.
What is kernelshap?
kernelshap makes permutation SHAP practical past eight features, then fixes the kernel weights it had wrong.
kernelshap computes model-agnostic SHAP values in R through Kernel SHAP, permutation SHAP and an exact additive explainer. Version 0.8.0 added a sampling permutation-SHAP algorithm with standard errors and early stopping, lifting the practical feature ceiling past what the exact method allows. Version 0.9.0 then corrected a bug in how kernel weights were computed — exact Kernel SHAP now agrees with exact permutation SHAP — and moved parallelism from foreach to doFuture.
Dovetail vs kernelshap: editorial side-by-side
Dovetail
5.0ANALYTICS
Dovetail is wiring itself into every tool its users already work in, and now pushes back out to them.
◆ Current state
Dovetail sits at the center of a heavy integration cycle. Agents reached general availability in July, Channels 2.0 entered closed beta, and Docs went from launch to steady polish. Around that core, the connectors keep multiplying: Snowflake into Channels, HubSpot tickets and contact enrichment, a Microsoft Copilot connector, and MCP tools reachable from chat.
◆ Where it's heading
The product is moving from a research repository to a signal router. Inbound, it pulls from wherever customer signal already lives — warehouses, CRMs, support queues. Outbound, one-click actions now send a Doc, data point, or Channels idea straight into the tool where the work happens. The AI layer is being tuned rather than expanded: project-level context is a briefing step that shapes classification quality before the model touches the data.
◆ Prediction
Channels 2.0 graduating from closed beta is the obvious next milestone, and the one-click action menu is the natural place for more destinations to land. More warehouse and CRM sources are likely given the Snowflake and HubSpot pattern.
kernelshap
0.0ANALYTICS
kernelshap makes permutation SHAP practical past eight features, then fixes the kernel weights it had wrong.
◆ Current state
kernelshap computes model-agnostic SHAP values in R through Kernel SHAP, permutation SHAP and an exact additive explainer. Version 0.8.0 added a sampling permutation-SHAP algorithm with standard errors and early stopping, lifting the practical feature ceiling past what the exact method allows. Version 0.9.0 then corrected a bug in how kernel weights were computed — exact Kernel SHAP now agrees with exact permutation SHAP — and moved parallelism from foreach to doFuture.
◆ Where it's heading
Two concerns drive this package: making exact methods reach further, and being demonstrably right. The first shows in the additive explainer, the optional background dataset and the sampling permutation algorithm; the second in unit tests written against Python's shap, credited fixes from outside contributors, and a willingness to ship a correctness fix that changes numbers people have already published. Speed work runs continuously underneath — direct solves replacing the Moore-Penrose pseudo-inverse, roughly 10% less memory.
◆ Prediction
The 0.6.0 and 0.7.0 notes each promised a stable 1.0.0 that has not arrived; with the weighting bug fixed and parallelism reworked, a 1.0 release is the most plausible next step.
Alternatives to Dovetail and kernelshap
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 Dovetail or kernelshap.
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 Dovetail alternatives → · See all kernelshap alternatives →
Recent activity from Dovetail and kernelshap
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 9d agoDovetailOne click actions
- 29d agoDovetailSnowflake integration in Channels
- 1mo agoDovetailDovetail connector for Microsoft Copilot
- 1mo agoDovetailDovetail Agents are now in GA ⚡
- 1mo agoDovetailChannels 2.0 is live in closed beta
- 1mo agoDovetailProject-level context
- 1y agokernelshapKernel weight bug fixed; parallelism moves to doFuture
- 1y agokernelshapSampling permutation SHAP with standard errors ⚡
- 1y agokernelshapBackground data now optional; ranger survival support
- 2y agokernelshapFactor-valued predictions dropped
- 2y agokernelshapadditive_shap() explains additive models exactly
- 2y agokernelshapFaster on plain data.frames
Frequently asked questions
What is the difference between Dovetail and kernelshap?
They serve adjacent needs but don't currently overlap on shipped themes. Dovetail 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 Dovetail better than kernelshap?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. Dovetail 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 Dovetail?
Top Dovetail alternatives in Analytics are ranked by recent ship velocity. Browse the "Dovetail alternatives" section above for the current picks, or visit /alternatives/dovetail for the full list with editorial commentary on each.
What are the best alternatives to kernelshap?
Top kernelshap alternatives in Analytics are ranked by recent ship velocity. Browse the "kernelshap alternatives" section above for the current picks, or visit /alternatives/kernelshap for the full list with editorial commentary on each.