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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 alternatives
The best spatstat alternatives in analytics tools, ranked by Sparkpulse's velocity_score.
Updated Aug 15, 2026
Looking for the best alternatives to spatstat? 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 shipped 0 meaningful updates in the last 30 days and carries a velocity score of 0.0 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
The spatstat umbrella package, now mostly a pointer to the sub-packages doing the work
spatstat is the front package of a family that was split into specialised components — spatstat.geom, spatstat.random, spatstat.model, spatstat.explore, spatstat.univar and spatstat.sparse. Its own release notes reflect that: entries in this window are largely announcements of where the real changes landed, plus documentation and cross-reference maintenance. The codebase it fronts passed 200,000 lines as of 3.5-1.
Velocity 0.0 · Last update 1h ago
Top 12 alternatives to spatstat
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
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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
spatstat's inference layer builds out determinantal and cluster process fitting
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
monitOS relicenses to MIT, the clearest signal in a sparse Novartis release feed.
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.
spatstat 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 (baseline) | 0.0 | 0 | spatial-statisticsr-packagemetapackage | — |
| 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 |
| spatstat.model | 2.5 | 0 | spatial-statisticspoint-processesmodel-fitting | — |
| 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 | — |
| monitOS | 0.0 | 0 | clinical trialsoverall survivalnovartis | — |
| 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 |
The 12 best spatstat 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'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 leans on spatial statistics, r package and metapackage, Basedash focuses on ai analyst, prescriptive analytics and embedded bi.
Over the last 30 days Basedash has been shipping faster than spatstat — a point in its favour if release momentum matters to you.
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 leans on spatial statistics, r package and metapackage, dbt Core focuses on analytics engineering, deprecation and backports.
dbt Core and spatstat have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
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'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 leans on spatial statistics, r package and metapackage, OpenObserve focuses on observability, mcp and open source.
Over the last 30 days OpenObserve has been shipping faster than spatstat — a point in its favour if release momentum matters to you.
Full OpenObserve trajectory → · Compare spatstat 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'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 leans on spatial statistics, r package and metapackage, Dagster focuses on data orchestration, declarative automation and dbt.
Over the last 30 days Dagster has been shipping faster than spatstat — a point in its favour if release momentum matters to you.
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 leans on spatial statistics, r package and metapackage, cfrnow focuses on epidemiology, bayesian modelling and cfr estimation.
cfrnow and spatstat have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
6. spatstat.model · velocity 2.5
Spatstat's inference layer builds out determinantal and cluster process fitting.
Its velocity score of 2.5/10 reflects longer-term release cadence.
Where spatstat leans on spatial statistics, r package and metapackage, spatstat.model focuses on spatial statistics, point processes and model fitting.
spatstat.model and spatstat have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full spatstat.model trajectory → · Compare spatstat vs spatstat.model →
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 leans on spatial statistics, r package and metapackage, spatstat.geom focuses on spatial statistics, computational geometry and r package.
spatstat.geom and spatstat 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 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 leans on spatial statistics, r package and metapackage, spatstat.random focuses on spatial statistics, point processes and simulation.
spatstat.random and spatstat 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 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 leans on spatial statistics, r package and metapackage, clinify focuses on clinical trials, r package and document generation.
clinify and spatstat have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
10. monitOS · velocity 0.0
MonitOS relicenses to MIT, the clearest signal in a sparse Novartis release feed.
Its velocity score of 0.0/10 reflects longer-term release cadence.
Where spatstat leans on spatial statistics, r package and metapackage, monitOS focuses on clinical trials, overall survival and novartis.
monitOS and spatstat have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
11. 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 leans on spatial statistics, r package and metapackage, kernelshap focuses on shap, model explainability and sampling algorithms.
kernelshap and spatstat 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 vs kernelshap →
12. 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 leans on spatial statistics, r package and metapackage, filtro focuses on feature selection, tidymodels and s7.
filtro and spatstat have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Frequently asked questions
What are the best alternatives to spatstat?
The top spatstat 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 alternatives ranked?
Alternatives are ranked by Sparkpulse's velocity_score — release cadence + 30-day spark count + sector-relative ship rate.
Can I compare spatstat directly with one of these alternatives?
Yes — every card has a "Compare with spatstat" link to a side-by-side /compare page.