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Basedash is done answering questions about your data — it now wants to tell you what to do next.
Alternatives · analytics tools
spatstat.model alternatives
The best spatstat.model alternatives in analytics tools, ranked by Sparkpulse's velocity_score.
Updated Aug 15, 2026
Looking for the best alternatives to spatstat.model? Sparkpulse tracks and ranks 12 alternatives in analytics tools by shipping velocity — how frequently each ships meaningful updates, verified from official changelogs. For reference, spatstat.model shipped 0 meaningful updates in the last 30 days and carries a velocity score of 2.5 out of 10 in 2026. The alternatives below are ranked the same way, so you're comparing real release momentum, not marketing claims.
About spatstat.model
spatstat's inference layer builds out determinantal and cluster process fitting
spatstat.model fits point process models and provides the diagnostics that go with them. The recent window is dominated by determinantal point process work — a variance-covariance matrix and more diagnostics in 3.7-2, additional `intensity` and `repul` methods in 3.7-1, and ROC curves for determinantal models in 3.5-0. Cluster and Cox process inference has advanced in parallel, with Waagepetersen's composite likelihood arriving in 3.6-1.
Velocity 2.5 · Last update 1h ago
Top 12 alternatives to spatstat.model
Ranked by recent ship velocity. Tap any card for the full editorial breakdown, or pivot to a head-to-head.
ANALYTICS
dbt-core spent a day backporting one deprecation warning across eight EOL branches — the message is: upgrade.
ANALYTICS
After the 836-commit 0.92 release, OpenObserve is quietly moving its MCP server into the free tier
ANALYTICS
Dagster is turning declarative automation from an asset feature into the way the whole platform schedules work.
ANALYTICS
A Bayesian real-time CFR estimator that now ships stratified fits and posterior-predictive checks
ANALYTICS
Dovetail is wiring itself into every tool its users already work in, and now pushes back out to them.
ANALYTICS
The geometry layer under spatstat, steadily absorbing 3D patterns and missing-data semantics
ANALYTICS
spatstat's simulation engine pushes point process generation into three dimensions
ANALYTICS
Clinical-table typesetting for R, closing the gap between R output and regulatory Word documents
ANALYTICS
kernelshap makes permutation SHAP practical past eight features, then fixes the kernel weights it had wrong.
ANALYTICS
filtro moves to S7 and multiplies its feature-scoring methods in a single release.
ANALYTICS
modeltime.resample exists to keep backtesting working as tidymodels shifts underneath it.
spatstat.model vs alternatives — shipping velocity at a glance
Velocity score (0–10) and meaningful releases shipped in the last 30 days, from official changelogs. Higher = shipping faster.
| Product | Velocity | Sparks · 30d | Focus areas | Latest release |
|---|---|---|---|---|
| spatstat.model (baseline) | 2.5 | 0 | spatial-statisticspoint-processesmodel-fitting | — |
| Basedash | 7.5 | 1 | ai-analystprescriptive-analyticsembedded-bi | Introducing Tasks: your operations, on autopilot |
| dbt Core | 7.5 | 0 | analytics-engineeringdeprecationbackports | — |
| OpenObserve | 6.3 | 1 | observabilitymcpopen-source | v0.92.0 adds synthetic monitoring, workflows, and AI observability |
| Dagster | 6.3 | 1 | data-orchestrationdeclarative-automationdbt | Declarative Automation can now launch jobs (preview) |
| cfrnow | 5.0 | 0 | epidemiologybayesian-modellingcfr-estimation | First release: real-time CFR from a Bayesian mixture-cure model |
| Dovetail | 5.0 | 0 | customer-researchai-agentsintegrations | Dovetail Agents are now in GA |
| spatstat.geom | 2.5 | 0 | spatial-statisticscomputational-geometryr-package | — |
| spatstat.random | 2.5 | 0 | spatial-statisticspoint-processessimulation | Three-dimensional point process simulation arrives |
| clinify | 2.5 | 0 | clinical-trialsr-packagedocument-generation | — |
| kernelshap | 0.0 | 0 | shapmodel explainabilitysampling algorithms | Sampling permutation SHAP with standard errors |
| filtro | 0.0 | 0 | feature selectiontidymodelss7 | Five new filter scores and the move to S7 |
| modeltime.resample | 0.0 | 0 | time seriescross-validationtidymodels | — |
The 12 best spatstat.model alternatives, in depth
1. Basedash · velocity 7.5
Basedash is done answering questions about your data — it now wants to tell you what to do next.
Over the last 30 days Basedash shipped 1 meaningful update vs spatstat.model's 0, most recently “Introducing Tasks: your operations, on autopilot”. Its velocity score of 7.5/10 blends that with longer-term release cadence.
Where spatstat.model leans on spatial statistics, point processes and model fitting, Basedash focuses on ai analyst, prescriptive analytics and embedded bi.
Over the last 30 days Basedash has been shipping faster than spatstat.model — a point in its favour if release momentum matters to you.
Full Basedash trajectory → · Compare spatstat.model vs Basedash →
2. dbt Core · velocity 7.5
Dbt-core spent a day backporting one deprecation warning across eight EOL branches — the message is: upgrade.
Its velocity score of 7.5/10 reflects longer-term release cadence.
Where spatstat.model leans on spatial statistics, point processes and model fitting, dbt Core focuses on analytics engineering, deprecation and backports.
dbt Core and spatstat.model have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full dbt Core trajectory → · Compare spatstat.model vs dbt Core →
3. OpenObserve · velocity 6.3
After the 836-commit 0.92 release, OpenObserve is quietly moving its MCP server into the free tier.
Over the last 30 days OpenObserve shipped 1 meaningful update vs spatstat.model's 0, most recently “v0.92.0 adds synthetic monitoring, workflows, and AI observability”. Its velocity score of 6.3/10 blends that with longer-term release cadence.
Where spatstat.model leans on spatial statistics, point processes and model fitting, OpenObserve focuses on observability, mcp and open source.
Over the last 30 days OpenObserve has been shipping faster than spatstat.model — a point in its favour if release momentum matters to you.
Full OpenObserve trajectory → · Compare spatstat.model vs OpenObserve →
4. Dagster · velocity 6.3
Dagster is turning declarative automation from an asset feature into the way the whole platform schedules work.
Over the last 30 days Dagster shipped 1 meaningful update vs spatstat.model's 0, most recently “Declarative Automation can now launch jobs (preview)”. Its velocity score of 6.3/10 blends that with longer-term release cadence.
Where spatstat.model leans on spatial statistics, point processes and model fitting, Dagster focuses on data orchestration, declarative automation and dbt.
Over the last 30 days Dagster has been shipping faster than spatstat.model — a point in its favour if release momentum matters to you.
Full Dagster trajectory → · Compare spatstat.model vs Dagster →
5. cfrnow · velocity 5.0
A Bayesian real-time CFR estimator that now ships stratified fits and posterior-predictive checks.
Its velocity score of 5.0/10 reflects longer-term release cadence; its most recent meaningful update was “First release: real-time CFR from a Bayesian mixture-cure model”.
Where spatstat.model leans on spatial statistics, point processes and model fitting, cfrnow focuses on epidemiology, bayesian modelling and cfr estimation.
cfrnow and spatstat.model have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full cfrnow trajectory → · Compare spatstat.model vs cfrnow →
6. Dovetail · velocity 5.0
Dovetail is wiring itself into every tool its users already work in, and now pushes back out to them.
Its velocity score of 5.0/10 reflects longer-term release cadence; its most recent meaningful update was “Dovetail Agents are now in GA”.
Where spatstat.model leans on spatial statistics, point processes and model fitting, Dovetail focuses on customer research, ai agents and integrations.
Dovetail and spatstat.model have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full Dovetail trajectory → · Compare spatstat.model vs Dovetail →
7. spatstat.geom · velocity 2.5
The geometry layer under spatstat, steadily absorbing 3D patterns and missing-data semantics.
Its velocity score of 2.5/10 reflects longer-term release cadence.
Where spatstat.model leans on spatial statistics, point processes and model fitting, spatstat.geom focuses on spatial statistics, computational geometry and r package.
spatstat.geom and spatstat.model have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full spatstat.geom trajectory → · Compare spatstat.model vs spatstat.geom →
8. spatstat.random · velocity 2.5
Spatstat's simulation engine pushes point process generation into three dimensions.
Its velocity score of 2.5/10 reflects longer-term release cadence; its most recent meaningful update was “Three-dimensional point process simulation arrives”.
Where spatstat.model leans on spatial statistics, point processes and model fitting, spatstat.random focuses on spatial statistics, point processes and simulation.
spatstat.random and spatstat.model have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full spatstat.random trajectory → · Compare spatstat.model vs spatstat.random →
9. clinify · velocity 2.5
Clinical-table typesetting for R, closing the gap between R output and regulatory Word documents.
Its velocity score of 2.5/10 reflects longer-term release cadence.
Where spatstat.model leans on spatial statistics, point processes and model fitting, clinify focuses on clinical trials, r package and document generation.
clinify and spatstat.model have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full clinify trajectory → · Compare spatstat.model vs clinify →
10. kernelshap · velocity 0.0
Kernelshap makes permutation SHAP practical past eight features, then fixes the kernel weights it had wrong.
Its velocity score of 0.0/10 reflects longer-term release cadence; its most recent meaningful update was “Sampling permutation SHAP with standard errors”.
Where spatstat.model leans on spatial statistics, point processes and model fitting, kernelshap focuses on shap, model explainability and sampling algorithms.
kernelshap and spatstat.model have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full kernelshap trajectory → · Compare spatstat.model vs kernelshap →
11. filtro · velocity 0.0
Filtro moves to S7 and multiplies its feature-scoring methods in a single release.
Its velocity score of 0.0/10 reflects longer-term release cadence; its most recent meaningful update was “Five new filter scores and the move to S7”.
Where spatstat.model leans on spatial statistics, point processes and model fitting, filtro focuses on feature selection, tidymodels and s7.
filtro and spatstat.model have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full filtro trajectory → · Compare spatstat.model vs filtro →
12. modeltime.resample · velocity 0.0
Modeltime.resample exists to keep backtesting working as tidymodels shifts underneath it.
Its velocity score of 0.0/10 reflects longer-term release cadence.
Where spatstat.model leans on spatial statistics, point processes and model fitting, modeltime.resample focuses on time series, cross validation and tidymodels.
modeltime.resample and spatstat.model have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full modeltime.resample trajectory → · Compare spatstat.model vs modeltime.resample →
Frequently asked questions
What are the best alternatives to spatstat.model?
The top spatstat.model alternatives we currently track in analytics tools are Basedash, dbt Core, OpenObserve, Dagster, cfrnow, ranked by recent ship velocity.
How is this list of spatstat.model alternatives ranked?
Alternatives are ranked by Sparkpulse's velocity_score — release cadence + 30-day spark count + sector-relative ship rate.
Can I compare spatstat.model directly with one of these alternatives?
Yes — every card has a "Compare with spatstat.model" link to a side-by-side /compare page.