ANALYTICS
Licensing settled, ApexCharts is back to changing what a chart can take as input.
Alternatives · analytics tools
superspreading alternatives
The best superspreading alternatives in analytics tools, ranked by Sparkpulse's velocity_score.
Updated Aug 20, 2026
Looking for the best alternatives to superspreading? Sparkpulse tracks and ranks 12 alternatives in analytics tools by shipping velocity — how frequently each ships meaningful updates, verified from official changelogs. For reference, superspreading 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 superspreading
superspreading now asks whether a pathogen will emerge at all, not just how unevenly it spreads.
superspreading quantifies individual-level variation in transmission — the offspring distributions and summary metrics behind the 20/80 rule — and calculates probabilities of epidemic, extinction and containment. With 0.4.0 it added probability_emergence(), estimating whether an introduced pathogen can evolve into sustained human-to-human transmission. The package moved from experimental to stable in the same release.
Velocity 0.0 · Last update 5d ago
Top 12 alternatives to superspreading
Ranked by recent ship velocity. Tap any card for the full editorial breakdown, or pivot to a head-to-head.
ANALYTICS
Usermaven closed the loop: data comes in from anywhere, and now it goes back out.
ANALYTICS
Basedash keeps pushing its data out of the workspace — now to people without accounts
ANALYTICS
The 0.0.x train stops at CRAN: tulpa's engine ships to the ecosystem it already anchors.
ANALYTICS
dbt Fusion's second beta is adapter work: ClickHouse gets materializations, indexes, and catalogs
ANALYTICS
Fulcrum is betting its whole map stack on Esri, with a hard Google Maps cutoff on September 1.
ANALYTICS
AgencyAI got skills three weeks ago; everything since has been making them routine.
ANALYTICS
Interfaces gets the permissions layer it needed, one release after launching.
ANALYTICS
Omni ships weekly, and almost every week the headline item is an AI feature.
ANALYTICS
Plotly is turning its cloud into a metered compute platform with an enterprise on-ramp.
ANALYTICS
Rho's release machinery finally produced a stable build — and it shipped no new product.
ANALYTICS
OpenCTI spends a release unblocking queues and hardening upserts
superspreading 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 |
|---|---|---|---|---|
| superspreading (baseline) | 0.0 | 0 | epiverse-tracesuperspreadingbranching-process | probability_emergence() extends the package into pathogen emergence risk |
| ApexCharts | 10.0 | 3 | chartingraw-data-inputchart-morphing | Histogram bins raw samples; charts morph between types |
| Usermaven | 8.8 | 3 | product-analyticsreverse-etlmcp | 🔌 Salesforce, Reverse ETL, and connectors: your stack, connected |
| Basedash | 7.5 | 1 | biai-analystexternal-sharing | Introducing Tasks: your operations, on autopilot |
| tulpa | 7.5 | 2 | bayesian-inferencecran-releaser-packages | First CRAN release: engine surface unchanged from 0.0.198 |
| dbt Core | 6.3 | 0 | analytics-engineeringdbt-fusionadapters | — |
| Fulcrum | 6.3 | 0 | gisesri-migrationoffline-maps | — |
| AgencyAnalytics | 6.3 | 1 | agency-reportingai-assistantskills | Skills in AgencyAI |
| NocoDB | 6.3 | 1 | no-code-databaseinterfacespermissions | 2026.08.0 : Introducing Interfaces |
| Omni | 6.3 | 1 | business-intelligencesemantic-modelai-routines | AI semantic model generation goes generally available in Omni |
| Plotly | 6.3 | 1 | ai-app-buildingplotly-cloudmetered-billing | Custom Domains in Plotly Cloud |
| Rho | 6.3 | 1 | r-ideai-agentsmodel-routing | Agent conversations and provider-routed models land in Rho |
| OpenCTI | 6.3 | 0 | threat-intelligencestixdata-model | — |
The 12 best superspreading alternatives, in depth
1. ApexCharts · velocity 10.0
Licensing settled, ApexCharts is back to changing what a chart can take as input.
Over the last 30 days ApexCharts shipped 3 meaningful updates vs superspreading's 0, most recently “Histogram bins raw samples; charts morph between types”. Its velocity score of 10.0/10 blends that with longer-term release cadence.
Where superspreading leans on epiverse trace, superspreading and branching process, ApexCharts focuses on charting, raw data input and chart morphing.
Over the last 30 days ApexCharts has been shipping faster than superspreading — a point in its favour if release momentum matters to you.
Full ApexCharts trajectory → · Compare superspreading vs ApexCharts →
2. Usermaven · velocity 8.8
Usermaven closed the loop: data comes in from anywhere, and now it goes back out.
Over the last 30 days Usermaven shipped 3 meaningful updates vs superspreading's 0, most recently “🔌 Salesforce, Reverse ETL, and connectors: your stack, connected”. Its velocity score of 8.8/10 blends that with longer-term release cadence.
Where superspreading leans on epiverse trace, superspreading and branching process, Usermaven focuses on product analytics, reverse etl and mcp.
Over the last 30 days Usermaven has been shipping faster than superspreading — a point in its favour if release momentum matters to you.
Full Usermaven trajectory → · Compare superspreading vs Usermaven →
3. Basedash · velocity 7.5
Basedash keeps pushing its data out of the workspace — now to people without accounts.
Over the last 30 days Basedash shipped 1 meaningful update vs superspreading'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 superspreading leans on epiverse trace, superspreading and branching process, Basedash focuses on bi, ai analyst and external sharing.
Over the last 30 days Basedash has been shipping faster than superspreading — a point in its favour if release momentum matters to you.
Full Basedash trajectory → · Compare superspreading vs Basedash →
4. tulpa · velocity 7.5
The 0.0.x train stops at CRAN: tulpa's engine ships to the ecosystem it already anchors.
Over the last 30 days tulpa shipped 2 meaningful updates vs superspreading's 0, most recently “First CRAN release: engine surface unchanged from 0.0.198”. Its velocity score of 7.5/10 blends that with longer-term release cadence.
Where superspreading leans on epiverse trace, superspreading and branching process, tulpa focuses on bayesian inference, cran release and r packages.
Over the last 30 days tulpa has been shipping faster than superspreading — a point in its favour if release momentum matters to you.
5. dbt Core · velocity 6.3
Dbt Fusion's second beta is adapter work: ClickHouse gets materializations, indexes, and catalogs.
Its velocity score of 6.3/10 reflects longer-term release cadence.
Where superspreading leans on epiverse trace, superspreading and branching process, dbt Core focuses on analytics engineering, dbt fusion and adapters.
dbt Core and superspreading 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 superspreading vs dbt Core →
6. Fulcrum · velocity 6.3
Fulcrum is betting its whole map stack on Esri, with a hard Google Maps cutoff on September 1.
Its velocity score of 6.3/10 reflects longer-term release cadence.
Where superspreading leans on epiverse trace, superspreading and branching process, Fulcrum focuses on gis, esri migration and offline maps.
Fulcrum and superspreading have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full Fulcrum trajectory → · Compare superspreading vs Fulcrum →
7. AgencyAnalytics · velocity 6.3
AgencyAI got skills three weeks ago; everything since has been making them routine.
Over the last 30 days AgencyAnalytics shipped 1 meaningful update vs superspreading's 0, most recently “Skills in AgencyAI”. Its velocity score of 6.3/10 blends that with longer-term release cadence.
Where superspreading leans on epiverse trace, superspreading and branching process, AgencyAnalytics focuses on agency reporting, ai assistant and skills.
Over the last 30 days AgencyAnalytics has been shipping faster than superspreading — a point in its favour if release momentum matters to you.
Full AgencyAnalytics trajectory → · Compare superspreading vs AgencyAnalytics →
8. NocoDB · velocity 6.3
Interfaces gets the permissions layer it needed, one release after launching.
Over the last 30 days NocoDB shipped 1 meaningful update vs superspreading's 0, most recently “2026.08.0 : Introducing Interfaces”. Its velocity score of 6.3/10 blends that with longer-term release cadence.
Where superspreading leans on epiverse trace, superspreading and branching process, NocoDB focuses on no code database, interfaces and permissions.
Over the last 30 days NocoDB has been shipping faster than superspreading — a point in its favour if release momentum matters to you.
Full NocoDB trajectory → · Compare superspreading vs NocoDB →
9. Omni · velocity 6.3
Omni ships weekly, and almost every week the headline item is an AI feature.
Over the last 30 days Omni shipped 1 meaningful update vs superspreading's 0, most recently “AI semantic model generation goes generally available in Omni”. Its velocity score of 6.3/10 blends that with longer-term release cadence.
Where superspreading leans on epiverse trace, superspreading and branching process, Omni focuses on business intelligence, semantic model and ai routines.
Over the last 30 days Omni has been shipping faster than superspreading — a point in its favour if release momentum matters to you.
10. Plotly · velocity 6.3
Plotly is turning its cloud into a metered compute platform with an enterprise on-ramp.
Over the last 30 days Plotly shipped 1 meaningful update vs superspreading's 0, most recently “Custom Domains in Plotly Cloud”. Its velocity score of 6.3/10 blends that with longer-term release cadence.
Where superspreading leans on epiverse trace, superspreading and branching process, Plotly focuses on ai app building, plotly cloud and metered billing.
Over the last 30 days Plotly has been shipping faster than superspreading — a point in its favour if release momentum matters to you.
Full Plotly trajectory → · Compare superspreading vs Plotly →
11. Rho · velocity 6.3
Rho's release machinery finally produced a stable build — and it shipped no new product.
Over the last 30 days Rho shipped 1 meaningful update vs superspreading's 0, most recently “Agent conversations and provider-routed models land in Rho”. Its velocity score of 6.3/10 blends that with longer-term release cadence.
Where superspreading leans on epiverse trace, superspreading and branching process, Rho focuses on r ide, ai agents and model routing.
Over the last 30 days Rho has been shipping faster than superspreading — a point in its favour if release momentum matters to you.
12. OpenCTI · velocity 6.3
OpenCTI spends a release unblocking queues and hardening upserts.
Its velocity score of 6.3/10 reflects longer-term release cadence.
Where superspreading leans on epiverse trace, superspreading and branching process, OpenCTI focuses on threat intelligence, stix and data model.
OpenCTI and superspreading have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full OpenCTI trajectory → · Compare superspreading vs OpenCTI →
Frequently asked questions
What are the best alternatives to superspreading?
The top superspreading alternatives we currently track in analytics tools are ApexCharts, Usermaven, Basedash, tulpa, dbt Core, ranked by recent ship velocity.
How is this list of superspreading alternatives ranked?
Alternatives are ranked by Sparkpulse's velocity_score — release cadence + 30-day spark count + sector-relative ship rate.
Can I compare superspreading directly with one of these alternatives?
Yes — every card has a "Compare with superspreading" link to a side-by-side /compare page.