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spatstat.geom alternatives

The best spatstat.geom alternatives in analytics tools, ranked by Sparkpulse's velocity_score.

Updated Aug 15, 2026

Looking for the best alternatives to spatstat.geom? 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.geom 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.geom

The geometry layer under spatstat, steadily absorbing 3D patterns and missing-data semantics

spatstat.geom holds the spatial data structures and geometric operations the rest of the spatstat family builds on — windows, tessellations, images, point patterns and the operations that move between them. Recent releases split their attention between extending those structures to three dimensions and hardening the discretisation code where polygonal geometry meets a pixel grid. 3.8-2 adds more capabilities for three-dimensional point patterns.

Velocity 2.5 · Last update 1h ago

Read the full spatstat.geom trajectory →

Top 12 alternatives to spatstat.geom

Ranked by recent ship velocity. Tap any card for the full editorial breakdown, or pivot to a head-to-head.

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spatstat.geom 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.

ProductVelocitySparks · 30dFocus areasLatest release
spatstat.geom (baseline)2.50spatial-statisticscomputational-geometryr-package
Basedash7.51ai-analystprescriptive-analyticsembedded-biIntroducing Tasks: your operations, on autopilot
dbt Core7.50analytics-engineeringdeprecationbackports
OpenObserve6.31observabilitymcpopen-sourcev0.92.0 adds synthetic monitoring, workflows, and AI observability
Dagster6.31data-orchestrationdeclarative-automationdbtDeclarative Automation can now launch jobs (preview)
cfrnow5.00epidemiologybayesian-modellingcfr-estimationFirst release: real-time CFR from a Bayesian mixture-cure model
spatstat.model2.50spatial-statisticspoint-processesmodel-fitting
spatstat.random2.50spatial-statisticspoint-processessimulationThree-dimensional point process simulation arrives
clinify2.50clinical-trialsr-packagedocument-generation
monitOS0.00clinical trialsoverall survivalnovartis
kernelshap0.00shapmodel explainabilitysampling algorithmsSampling permutation SHAP with standard errors
filtro0.00feature selectiontidymodelss7Five new filter scores and the move to S7
modeltime.resample0.00time seriescross-validationtidymodels

The 12 best spatstat.geom 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.geom'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.geom leans on spatial statistics, computational geometry and r package, Basedash focuses on ai analyst, prescriptive analytics and embedded bi.

Over the last 30 days Basedash has been shipping faster than spatstat.geom — 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.geom leans on spatial statistics, computational geometry and r package, dbt Core focuses on analytics engineering, deprecation and backports.

dbt Core and spatstat.geom 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.geom'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.geom leans on spatial statistics, computational geometry and r package, OpenObserve focuses on observability, mcp and open source.

Over the last 30 days OpenObserve has been shipping faster than spatstat.geom — a point in its favour if release momentum matters to you.

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.geom'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.geom leans on spatial statistics, computational geometry and r package, Dagster focuses on data orchestration, declarative automation and dbt.

Over the last 30 days Dagster has been shipping faster than spatstat.geom — 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.geom leans on spatial statistics, computational geometry and r package, cfrnow focuses on epidemiology, bayesian modelling and cfr estimation.

cfrnow and spatstat.geom 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.geom leans on spatial statistics, computational geometry and r package, spatstat.model focuses on spatial statistics, point processes and model fitting.

spatstat.model and spatstat.geom have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.

7. 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.geom leans on spatial statistics, computational geometry and r package, spatstat.random focuses on spatial statistics, point processes and simulation.

spatstat.random and spatstat.geom have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.

8. 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.geom leans on spatial statistics, computational geometry and r package, clinify focuses on clinical trials, r package and document generation.

clinify and spatstat.geom have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.

9. 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.geom leans on spatial statistics, computational geometry and r package, monitOS focuses on clinical trials, overall survival and novartis.

monitOS and spatstat.geom have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.

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.geom leans on spatial statistics, computational geometry and r package, kernelshap focuses on shap, model explainability and sampling algorithms.

kernelshap and spatstat.geom have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.

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.geom leans on spatial statistics, computational geometry and r package, filtro focuses on feature selection, tidymodels and s7.

filtro and spatstat.geom have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.

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.geom leans on spatial statistics, computational geometry and r package, modeltime.resample focuses on time series, cross validation and tidymodels.

modeltime.resample and spatstat.geom 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.geom?

The top spatstat.geom 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.geom alternatives ranked?

Alternatives are ranked by Sparkpulse's velocity_score — release cadence + 30-day spark count + sector-relative ship rate.

Can I compare spatstat.geom directly with one of these alternatives?

Yes — every card has a "Compare with spatstat.geom" link to a side-by-side /compare page.