ANALYTICS
Licensing settled, ApexCharts is back to changing what a chart can take as input.
Alternatives · analytics tools
fastglm alternatives
The best fastglm alternatives in analytics tools, ranked by Sparkpulse's velocity_score.
Updated Aug 20, 2026
Looking for the best alternatives to fastglm? Sparkpulse tracks and ranks 12 alternatives in analytics tools by shipping velocity — how frequently each ships meaningful updates, verified from official changelogs. For reference, fastglm 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 fastglm
A fast GLM solver stops being one function and becomes a count-model family
fastglm ran C++ IRLS for standard generalized linear models for six years with almost no releases. In May 2026 it added three top-level model types — negative binomial with jointly estimated dispersion, hurdle, and zero-inflated — each with the entire fitting driver in C++ rather than an R loop around a C++ kernel. The following release generalised Firth bias reduction to every standard family across dense, sparse and streaming backends.
Velocity 0.0 · Last update 2d ago
Top 12 alternatives to fastglm
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
distributions3 0.3.0 adds sample-based distributions and likelihood derivatives
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.
fastglm 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 |
|---|---|---|---|---|
| fastglm (baseline) | 0.0 | 0 | statistical-computinggeneralized-linear-modelscpp | CRAN release 0.1.0 |
| 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 |
| distributions3 | 6.3 | 1 | r-packageprobability-distributionsempirical-distributions | Empirical distributions, plus score and hessian generics |
| 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 |
The 12 best fastglm 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 fastglm'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 fastglm leans on statistical computing, generalized linear models and cpp, ApexCharts focuses on charting, raw data input and chart morphing.
Over the last 30 days ApexCharts has been shipping faster than fastglm — a point in its favour if release momentum matters to you.
Full ApexCharts trajectory → · Compare fastglm 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 fastglm'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 fastglm leans on statistical computing, generalized linear models and cpp, Usermaven focuses on product analytics, reverse etl and mcp.
Over the last 30 days Usermaven has been shipping faster than fastglm — a point in its favour if release momentum matters to you.
Full Usermaven trajectory → · Compare fastglm 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 fastglm'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 fastglm leans on statistical computing, generalized linear models and cpp, Basedash focuses on bi, ai analyst and external sharing.
Over the last 30 days Basedash has been shipping faster than fastglm — a point in its favour if release momentum matters to you.
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 fastglm'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 fastglm leans on statistical computing, generalized linear models and cpp, tulpa focuses on bayesian inference, cran release and r packages.
Over the last 30 days tulpa has been shipping faster than fastglm — a point in its favour if release momentum matters to you.
5. distributions3 · velocity 6.3
Distributions3 0.3.0 adds sample-based distributions and likelihood derivatives.
Over the last 30 days distributions3 shipped 1 meaningful update vs fastglm's 0, most recently “Empirical distributions, plus score and hessian generics”. Its velocity score of 6.3/10 blends that with longer-term release cadence.
Where fastglm leans on statistical computing, generalized linear models and cpp, distributions3 focuses on r package, probability distributions and empirical distributions.
Over the last 30 days distributions3 has been shipping faster than fastglm — a point in its favour if release momentum matters to you.
Full distributions3 trajectory → · Compare fastglm vs distributions3 →
6. 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 fastglm leans on statistical computing, generalized linear models and cpp, dbt Core focuses on analytics engineering, dbt fusion and adapters.
dbt Core and fastglm have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
7. 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 fastglm leans on statistical computing, generalized linear models and cpp, Fulcrum focuses on gis, esri migration and offline maps.
Fulcrum and fastglm have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
8. 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 fastglm's 0, most recently “Skills in AgencyAI”. Its velocity score of 6.3/10 blends that with longer-term release cadence.
Where fastglm leans on statistical computing, generalized linear models and cpp, AgencyAnalytics focuses on agency reporting, ai assistant and skills.
Over the last 30 days AgencyAnalytics has been shipping faster than fastglm — a point in its favour if release momentum matters to you.
Full AgencyAnalytics trajectory → · Compare fastglm vs AgencyAnalytics →
9. 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 fastglm's 0, most recently “2026.08.0 : Introducing Interfaces”. Its velocity score of 6.3/10 blends that with longer-term release cadence.
Where fastglm leans on statistical computing, generalized linear models and cpp, NocoDB focuses on no code database, interfaces and permissions.
Over the last 30 days NocoDB has been shipping faster than fastglm — a point in its favour if release momentum matters to you.
10. 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 fastglm'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 fastglm leans on statistical computing, generalized linear models and cpp, Omni focuses on business intelligence, semantic model and ai routines.
Over the last 30 days Omni has been shipping faster than fastglm — a point in its favour if release momentum matters to you.
11. 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 fastglm's 0, most recently “Custom Domains in Plotly Cloud”. Its velocity score of 6.3/10 blends that with longer-term release cadence.
Where fastglm leans on statistical computing, generalized linear models and cpp, Plotly focuses on ai app building, plotly cloud and metered billing.
Over the last 30 days Plotly has been shipping faster than fastglm — a point in its favour if release momentum matters to you.
12. 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 fastglm'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 fastglm leans on statistical computing, generalized linear models and cpp, Rho focuses on r ide, ai agents and model routing.
Over the last 30 days Rho has been shipping faster than fastglm — a point in its favour if release momentum matters to you.
Frequently asked questions
What are the best alternatives to fastglm?
The top fastglm alternatives we currently track in analytics tools are ApexCharts, Usermaven, Basedash, tulpa, distributions3, ranked by recent ship velocity.
How is this list of fastglm alternatives ranked?
Alternatives are ranked by Sparkpulse's velocity_score — release cadence + 30-day spark count + sector-relative ship rate.
Can I compare fastglm directly with one of these alternatives?
Yes — every card has a "Compare with fastglm" link to a side-by-side /compare page.