HydroPortailStats
France's national flood statistics, ported out of Fortran and into R.
Comparison · Infra & APIs
BayesianMCPMod vs ToolJet
A side-by-side editorial comparison of BayesianMCPMod and ToolJet — release velocity, themes, recent moves, and the top alternatives to consider.
BayesianMCPMod vs ToolJet: at a glance
What is BayesianMCPMod?
A Bayesian dose-finding package extends from continuous endpoints to binary ones
BayesianMCPMod implements the Bayesian form of MCP-Mod for dose-finding trials, combining a multiple-comparison test for dose-response signal with model fitting for dose selection. Version 1.3.0 added functions and vignettes for the binary endpoint case, opening the package beyond the continuous endpoints it was built around, and 1.3.2 followed with Firth's penalized regression to handle separation in those binary fits. The same 1.3.0 release let assessDesign() accept custom simulated data and custom model estimates, which moves simulation control out of the package and into the user's hands.
What is ToolJet?
ToolJet's LTS and beta trains both narrow to component polish and CVE patching
ToolJet runs two parallel release trains — a 3.20 LTS line and a 3.21 beta line — and this window is dominated by small fixes on both. The most substantive tag is v3.20.212-lts, which brings dynamic-height support to several widgets, a dynamic number format for Currency Input, mobile camera flip, and AI build notifications. Everything newer than it is single-issue: a table header wrap fix, a gRPC discovery freeze, a stale row-click value.
BayesianMCPMod vs ToolJet: editorial side-by-side
BayesianMCPMod
0.0INFRA · APIS
A Bayesian dose-finding package extends from continuous endpoints to binary ones
◆ Current state
BayesianMCPMod implements the Bayesian form of MCP-Mod for dose-finding trials, combining a multiple-comparison test for dose-response signal with model fitting for dose selection. Version 1.3.0 added functions and vignettes for the binary endpoint case, opening the package beyond the continuous endpoints it was built around, and 1.3.2 followed with Firth's penalized regression to handle separation in those binary fits. The same 1.3.0 release let assessDesign() accept custom simulated data and custom model estimates, which moves simulation control out of the package and into the user's hands.
◆ Where it's heading
Each release has widened the estimands and data shapes the framework accepts rather than changing its statistical core. 1.0.2 added non-monotonic beta and quadratic model shapes; 1.1.0 introduced getMED() for the minimally efficacious dose and parallel execution through the future framework; 1.2.0 switched the posterior and contrast functions from a standard deviation vector to a full covariance matrix and supported non-zero off-diagonals in the MCP step. The binary endpoint work is the same pattern applied to the outcome type, and the Firth addition shows the follow-through of a maintainer who has hit the separation problem in practice.
◆ Prediction
Expect the binary endpoint arm to keep filling in - more diagnostics and design assessment coverage matching what the continuous case already has - since 1.3.2 addressed a specific estimation failure rather than adding a new capability.
ToolJet
5.0INFRA · APIS
ToolJet's LTS and beta trains both narrow to component polish and CVE patching
◆ Current state
ToolJet runs two parallel release trains — a 3.20 LTS line and a 3.21 beta line — and this window is dominated by small fixes on both. The most substantive tag is v3.20.212-lts, which brings dynamic-height support to several widgets, a dynamic number format for Currency Input, mobile camera flip, and AI build notifications. Everything newer than it is single-issue: a table header wrap fix, a gRPC discovery freeze, a stale row-click value.
◆ Where it's heading
The component library is where the work is going — dynamic heights, sizing modes, and overflow handling have appeared across four of the last six releases, which reads as a systematic pass over layout behaviour rather than isolated requests. The AI surface is growing quietly at the edges: build notifications here, an AI credits portal domain change, hardened guards on the AI onboarding API. Cherry-picks in both directions suggest the LTS and beta lines are being kept deliberately close.
◆ Prediction
Expect the dynamic-height and sizing pass to continue across remaining widgets, and the beta line's AI datasource integrations to graduate into the LTS train.
Alternatives to BayesianMCPMod and ToolJet
Other Infra & APIs 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 BayesianMCPMod or ToolJet.
bsvarSIGNs
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estimatr
Fast design-based estimators for experiments, coasting on CRAN patches.
ggdist
The grammar of uncertainty visualization, now drawing the uncertainty in its own estimates.
ipaddress
IP address vectors for R that hit 1.0 and then went quiet.
ltertools
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See all BayesianMCPMod alternatives → · See all ToolJet alternatives →
Recent activity from BayesianMCPMod and ToolJet
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 2h agoToolJetTable headers grow in height when set to wrap
- 9h agoToolJetFix for gRPC proto discovery freezing the instance
- 4d agoToolJetToolJet 3.21.60-beta fixes stale table row-click values
- 4d agoToolJet3.20.212-LTS: AI build notifications and more dynamic heights
- 6d agoToolJetToolJet 3.20.211-LTS adds global data source certificates
- 6d agoToolJetToolJet 3.20.210-LTS patches critical and high CVEs
- 3mo agoBayesianMCPModFirth penalized regression handles separation in binary endpoints
- 5mo agoBayesianMCPModRegression fix for missing future.apply, plus credible band options
- 5mo agoBayesianMCPModBinary endpoint support opens the framework past continuous outcomes ⚡
- 11mo agoBayesianMCPModCovariance matrices replace standard deviation vectors in the MCP step
- 1y agoBayesianMCPModMinimally efficacious dose estimation and parallel execution
- 1y agoBayesianMCPModNon-monotonic beta and quadratic dose-response shapes
Frequently asked questions
What is the difference between BayesianMCPMod and ToolJet?
They serve adjacent needs but don't currently overlap on shipped themes. ToolJet 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 BayesianMCPMod better than ToolJet?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. ToolJet 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 Infra & APIs products to evaluate alongside.
What are the best alternatives to BayesianMCPMod?
Top BayesianMCPMod alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "BayesianMCPMod alternatives" section above for the current picks, or visit /alternatives/bayesianmcpmod for the full list with editorial commentary on each.
What are the best alternatives to ToolJet?
Top ToolJet alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "ToolJet alternatives" section above for the current picks, or visit /alternatives/tooljet for the full list with editorial commentary on each.