ANALYTICS
Basedash is done answering questions about your data — it now wants to tell you what to do next.
Alternatives · analytics tools
fasster alternatives
The best fasster alternatives in analytics tools, ranked by Sparkpulse's velocity_score.
Updated Aug 15, 2026
Looking for the best alternatives to fasster? Sparkpulse tracks and ranks 12 alternatives in analytics tools by shipping velocity — how frequently each ships meaningful updates, verified from official changelogs. For reference, fasster 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 fasster
fasster arrives as a fable-compatible state space model for switching seasonality.
fasster implements FASSTER, a state space model with a switching component in the measurement equation, aimed at series carrying several seasonal patterns and abrupt structural change. Version 0.2.0 is the first substantive release: a formula interface with trend(), season(), fourier(), ARMA() and xreg() plus the %S% switching and %?% conditional operators, and the full fable method set. Parameters come from a filtering-and-smoothing heuristic rather than full optimisation.
Velocity 0.0 · Last update 57m ago
Top 12 alternatives to fasster
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
A Bayesian real-time CFR estimator that now ships stratified fits and posterior-predictive checks
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
filtro moves to S7 and multiplies its feature-scoring methods in a single release.
fasster 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 |
|---|---|---|---|---|
| fasster (baseline) | 0.0 | 0 | time series forecastingstate space modelsfable | FASSTER lands as a complete fable model |
| 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 |
| cfrnow | 5.0 | 0 | epidemiologybayesian-modellingcfr-estimation | First release: real-time CFR from a Bayesian mixture-cure model |
| 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 |
| filtro | 0.0 | 0 | feature selectiontidymodelss7 | Five new filter scores and the move to S7 |
The 12 best fasster 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 fasster'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 fasster leans on time series forecasting, state space models and fable, Basedash focuses on ai analyst, prescriptive analytics and embedded bi.
Over the last 30 days Basedash has been shipping faster than fasster — 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 fasster leans on time series forecasting, state space models and fable, dbt Core focuses on analytics engineering, deprecation and backports.
dbt Core and fasster 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 fasster'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 fasster leans on time series forecasting, state space models and fable, OpenObserve focuses on observability, mcp and open source.
Over the last 30 days OpenObserve has been shipping faster than fasster — a point in its favour if release momentum matters to you.
Full OpenObserve trajectory → · Compare fasster vs OpenObserve →
4. 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 fasster leans on time series forecasting, state space models and fable, cfrnow focuses on epidemiology, bayesian modelling and cfr estimation.
cfrnow and fasster have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
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 fasster leans on time series forecasting, state space models and fable, camtrapdp focuses on camera traps, biodiversity data and r.
camtrapdp and fasster have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full camtrapdp trajectory → · Compare fasster vs camtrapdp →
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 fasster leans on time series forecasting, state space models and fable, spatstat.model focuses on spatial statistics, point processes and model fitting.
spatstat.model and fasster 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 fasster 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 fasster leans on time series forecasting, state space models and fable, spatstat.geom focuses on spatial statistics, computational geometry and r package.
spatstat.geom and fasster 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 fasster 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 fasster leans on time series forecasting, state space models and fable, spatstat.random focuses on spatial statistics, point processes and simulation.
spatstat.random and fasster 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 fasster 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 fasster leans on time series forecasting, state space models and fable, clinify focuses on clinical trials, r package and document generation.
clinify and fasster 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 fasster leans on time series forecasting, state space models and fable, monitOS focuses on clinical trials, overall survival and novartis.
monitOS and fasster 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 fasster leans on time series forecasting, state space models and fable, kernelshap focuses on shap, model explainability and sampling algorithms.
kernelshap and fasster 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 fasster 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 fasster leans on time series forecasting, state space models and fable, filtro focuses on feature selection, tidymodels and s7.
filtro and fasster 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 fasster?
The top fasster alternatives we currently track in analytics tools are Basedash, dbt Core, OpenObserve, cfrnow, camtrapdp, ranked by recent ship velocity.
How is this list of fasster alternatives ranked?
Alternatives are ranked by Sparkpulse's velocity_score — release cadence + 30-day spark count + sector-relative ship rate.
Can I compare fasster directly with one of these alternatives?
Yes — every card has a "Compare with fasster" link to a side-by-side /compare page.