ANALYTICS
Basedash is done answering questions about your data — it now wants to tell you what to do next.
Alternatives · analytics tools
filtro alternatives
The best filtro alternatives in analytics tools, ranked by Sparkpulse's velocity_score.
Updated Aug 15, 2026
Looking for the best alternatives to filtro? Sparkpulse tracks and ranks 12 alternatives in analytics tools by shipping velocity — how frequently each ships meaningful updates, verified from official changelogs. For reference, filtro 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 filtro
filtro moves to S7 and multiplies its feature-scoring methods in a single release.
filtro supplies feature-selection filter scores for the tidymodels stack. Version 0.2.0 adds five scoring methods — correlation, random forest importance, information gain, ROC AUC and cross tabulation — and moves the package from S3 to S7. It also gains a ranking layer: show_best_score_* and rank_best_score_* helpers for a single score, plus desirability-function helpers for optimising across several scores at once.
Velocity 0.0 · Last update 52m ago
Top 12 alternatives to filtro
Ranked by recent ship velocity. Tap any card for the full editorial breakdown, or pivot to a head-to-head.
ANALYTICS
After the 836-commit 0.92 release, OpenObserve is quietly moving its MCP server into the free tier
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A Bayesian real-time CFR estimator that now ships stratified fits and posterior-predictive checks
ANALYTICS
factoextra woke from six years of silence and stopped being a FactoMineR front-end
ANALYTICS
camtrapdp has become a full read-edit-write toolkit for camera trap datasets, then went quiet
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
modeltime.resample exists to keep backtesting working as tidymodels shifts underneath it.
filtro 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 |
|---|---|---|---|---|
| filtro (baseline) | 0.0 | 0 | feature selectiontidymodelss7 | Five new filter scores and the move to S7 |
| Basedash | 7.5 | 1 | ai-analystprescriptive-analyticsembedded-bi | Introducing Tasks: your operations, on autopilot |
| OpenObserve | 6.3 | 1 | observabilitymcpopen-source | v0.92.0 adds synthetic monitoring, workflows, and AI observability |
| cfrnow | 5.0 | 0 | epidemiologybayesian-modellingcfr-estimation | First release: real-time CFR from a Bayesian mixture-cure model |
| factoextra | 3.8 | 1 | dimension reductionrggplot2 | factoextra 2.2.0 adds UMAP and t-SNE plotting, plus tidymodels recipes |
| camtrapdp | 2.5 | 0 | camera trapsbiodiversity datar | camtrapdp 0.4.0 closes the read-edit-write loop for Camtrap DP |
| 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 |
| modeltime.resample | 0.0 | 0 | time seriescross-validationtidymodels | — |
The 12 best filtro 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 filtro'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 filtro leans on feature selection, tidymodels and s7, Basedash focuses on ai analyst, prescriptive analytics and embedded bi.
Over the last 30 days Basedash has been shipping faster than filtro — a point in its favour if release momentum matters to you.
2. 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 filtro'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 filtro leans on feature selection, tidymodels and s7, OpenObserve focuses on observability, mcp and open source.
Over the last 30 days OpenObserve has been shipping faster than filtro — a point in its favour if release momentum matters to you.
Full OpenObserve trajectory → · Compare filtro vs OpenObserve →
3. 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 filtro leans on feature selection, tidymodels and s7, cfrnow focuses on epidemiology, bayesian modelling and cfr estimation.
cfrnow and filtro have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
4. factoextra · velocity 3.8
Factoextra woke from six years of silence and stopped being a FactoMineR front-end.
Over the last 30 days factoextra shipped 1 meaningful update vs filtro's 0, most recently “factoextra 2.2.0 adds UMAP and t-SNE plotting, plus tidymodels recipes”. Its velocity score of 3.8/10 blends that with longer-term release cadence.
Where filtro leans on feature selection, tidymodels and s7, factoextra focuses on dimension reduction, r and ggplot2.
Over the last 30 days factoextra has been shipping faster than filtro — a point in its favour if release momentum matters to you.
Full factoextra trajectory → · Compare filtro vs factoextra →
5. camtrapdp · velocity 2.5
Camtrapdp has become a full read-edit-write toolkit for camera trap datasets, then went quiet.
Its velocity score of 2.5/10 reflects longer-term release cadence; its most recent meaningful update was “camtrapdp 0.4.0 closes the read-edit-write loop for Camtrap DP”.
Where filtro leans on feature selection, tidymodels and s7, camtrapdp focuses on camera traps, biodiversity data and r.
camtrapdp and filtro 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 filtro leans on feature selection, tidymodels and s7, spatstat.model focuses on spatial statistics, point processes and model fitting.
spatstat.model and filtro 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 filtro 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 filtro leans on feature selection, tidymodels and s7, spatstat.geom focuses on spatial statistics, computational geometry and r package.
spatstat.geom and filtro 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 filtro 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 filtro leans on feature selection, tidymodels and s7, spatstat.random focuses on spatial statistics, point processes and simulation.
spatstat.random and filtro 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 filtro 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 filtro leans on feature selection, tidymodels and s7, clinify focuses on clinical trials, r package and document generation.
clinify and filtro 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 filtro leans on feature selection, tidymodels and s7, monitOS focuses on clinical trials, overall survival and novartis.
monitOS and filtro 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 filtro leans on feature selection, tidymodels and s7, kernelshap focuses on shap, model explainability and sampling algorithms.
kernelshap and filtro 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 filtro vs kernelshap →
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 filtro leans on feature selection, tidymodels and s7, modeltime.resample focuses on time series, cross validation and tidymodels.
modeltime.resample and filtro 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 filtro vs modeltime.resample →
Frequently asked questions
What are the best alternatives to filtro?
The top filtro alternatives we currently track in analytics tools are Basedash, OpenObserve, cfrnow, factoextra, camtrapdp, ranked by recent ship velocity.
How is this list of filtro alternatives ranked?
Alternatives are ranked by Sparkpulse's velocity_score — release cadence + 30-day spark count + sector-relative ship rate.
Can I compare filtro directly with one of these alternatives?
Yes — every card has a "Compare with filtro" link to a side-by-side /compare page.