ANALYTICS
The Rust rewrite crosses from alpha to beta, and it can now bind SQL without touching the warehouse.
Alternatives · analytics tools
statsmodels alternatives
The best statsmodels alternatives in analytics tools, ranked by Sparkpulse's velocity_score.
Updated Aug 12, 2026
Looking for the best alternatives to statsmodels? Sparkpulse tracks and ranks 12 alternatives in analytics tools by shipping velocity — how frequently each ships meaningful updates, verified from official changelogs. For reference, statsmodels 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 statsmodels
statsmodels ships only what the ecosystem breaks — six releases, no new statistics.
Every release in this window is a compatibility release. 0.14.2 and 0.14.3 absorbed NumPy 2, 0.14.5 fixed an import failure caused by SciPy 1.16, and 0.14.6 did the same for pandas 3.0. The only additive change across two years is Pyodide support in 0.14.4, described in its own notes as one feature and no fixes. A 0.15.0.dev0 tag exists from 2023 and has not been followed by a 0.15 release.
Velocity 0.0 · Last update 1h ago
Top 12 alternatives to statsmodels
Ranked by recent ship velocity. Tap any card for the full editorial breakdown, or pivot to a head-to-head.
ANALYTICS
OpenCTI is rebuilding its connector layer into a marketplace and wiring the platform to XTM Hub
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Fulcrum is consolidating on Esri, with Google Maps gone September 1
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Omni ships weekly, and almost every week the headline item is an AI feature
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Hex is moving its agent out of the notebook and onto programmable surfaces.
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OpenHouse is hardening the seams where table policies and jobs quietly fail.
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Mimir's feed is mostly Helm automation; the real work is inside the query engine.
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Appfigures just made its app-market data something an AI agent can query, not something you screenshot.
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silx 3.0 moved its default Qt binding to PySide6 — a migration for everyone embedding it.
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Iris ships steadily on a two-a-year cadence, but its feed publishes only pointers.
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Julia's distribution library grinds forward one distribution at a time
ANALYTICS
Quantum chemistry package adding whole method families every release.
statsmodels 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 |
|---|---|---|---|---|
| statsmodels (baseline) | 0.0 | 0 | statisticspythoncompatibility | — |
| dbt Core | 7.5 | 2 | dbt-fusionrust-rewritestatic-analysis | dbt Fusion 2.0 reaches first beta with catalog-free SQL binding |
| OpenCTI | 6.3 | 1 | threat-intelligenceconnector-marketplacextm-hub | Connector catalog is rebuilt as a faceted marketplace |
| Fulcrum | 6.3 | 0 | field-data-collectionesri-arcgisoffline-maps | — |
| Omni | 6.3 | 1 | business-intelligencesemantic-modelai-routines | AI semantic model generation goes generally available in Omni |
| Hex | 6.3 | 1 | agentsclimcp | Hex Agent becomes callable from the CLI and API |
| OpenHouse | 5.0 | 0 | icebergdata governancetable policies | — |
| Grafana Mimir | 5.0 | 0 | query-enginepromqlnative-histograms | — |
| Appfigures | 3.8 | 1 | app-analyticsagenticaso | Introducing the Appfigures CLI |
| silx | 2.5 | 0 | synchrotronqthdf5 | 3.0.0: PySide6 becomes the default Qt binding, Python 3.10 required |
| iris | 2.5 | 0 | earth sciencerelease cadencepython | — |
| Distributions.jl | 2.5 | 0 | juliastatisticsdistributions | — |
| PySCF | 2.5 | 0 | quantum-chemistryperiodic-systemscoupled-cluster | — |
The 12 best statsmodels alternatives, in depth
1. dbt Core · velocity 7.5
The Rust rewrite crosses from alpha to beta, and it can now bind SQL without touching the warehouse.
Over the last 30 days dbt Core shipped 2 meaningful updates vs statsmodels's 0, most recently “dbt Fusion 2.0 reaches first beta with catalog-free SQL binding”. Its velocity score of 7.5/10 blends that with longer-term release cadence.
Where statsmodels leans on statistics, python and compatibility, dbt Core focuses on dbt fusion, rust rewrite and static analysis.
Over the last 30 days dbt Core has been shipping faster than statsmodels — a point in its favour if release momentum matters to you.
Full dbt Core trajectory → · Compare statsmodels vs dbt Core →
2. OpenCTI · velocity 6.3
OpenCTI is rebuilding its connector layer into a marketplace and wiring the platform to XTM Hub.
Over the last 30 days OpenCTI shipped 1 meaningful update vs statsmodels's 0, most recently “Connector catalog is rebuilt as a faceted marketplace”. Its velocity score of 6.3/10 blends that with longer-term release cadence.
Where statsmodels leans on statistics, python and compatibility, OpenCTI focuses on threat intelligence, connector marketplace and xtm hub.
Over the last 30 days OpenCTI has been shipping faster than statsmodels — a point in its favour if release momentum matters to you.
Full OpenCTI trajectory → · Compare statsmodels vs OpenCTI →
3. Fulcrum · velocity 6.3
Fulcrum is consolidating on Esri, with Google Maps gone September 1.
Its velocity score of 6.3/10 reflects longer-term release cadence.
Where statsmodels leans on statistics, python and compatibility, Fulcrum focuses on field data collection, esri arcgis and offline maps.
Fulcrum and statsmodels 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 statsmodels vs Fulcrum →
4. 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 statsmodels'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 statsmodels leans on statistics, python and compatibility, Omni focuses on business intelligence, semantic model and ai routines.
Over the last 30 days Omni has been shipping faster than statsmodels — a point in its favour if release momentum matters to you.
5. Hex · velocity 6.3
Hex is moving its agent out of the notebook and onto programmable surfaces.
Over the last 30 days Hex shipped 1 meaningful update vs statsmodels's 0, most recently “Hex Agent becomes callable from the CLI and API”. Its velocity score of 6.3/10 blends that with longer-term release cadence.
Where statsmodels leans on statistics, python and compatibility, Hex focuses on agents, cli and mcp.
Over the last 30 days Hex has been shipping faster than statsmodels — a point in its favour if release momentum matters to you.
6. OpenHouse · velocity 5.0
OpenHouse is hardening the seams where table policies and jobs quietly fail.
Its velocity score of 5.0/10 reflects longer-term release cadence.
Where statsmodels leans on statistics, python and compatibility, OpenHouse focuses on iceberg, data governance and table policies.
OpenHouse and statsmodels have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full OpenHouse trajectory → · Compare statsmodels vs OpenHouse →
7. Grafana Mimir · velocity 5.0
Mimir's feed is mostly Helm automation; the real work is inside the query engine.
Its velocity score of 5.0/10 reflects longer-term release cadence.
Where statsmodels leans on statistics, python and compatibility, Grafana Mimir focuses on query engine, promql and native histograms.
Grafana Mimir and statsmodels have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full Grafana Mimir trajectory → · Compare statsmodels vs Grafana Mimir →
8. Appfigures · velocity 3.8
Appfigures just made its app-market data something an AI agent can query, not something you screenshot.
Over the last 30 days Appfigures shipped 1 meaningful update vs statsmodels's 0, most recently “Introducing the Appfigures CLI”. Its velocity score of 3.8/10 blends that with longer-term release cadence.
Where statsmodels leans on statistics, python and compatibility, Appfigures focuses on app analytics, agentic and aso.
Over the last 30 days Appfigures has been shipping faster than statsmodels — a point in its favour if release momentum matters to you.
Full Appfigures trajectory → · Compare statsmodels vs Appfigures →
9. silx · velocity 2.5
Silx 3.0 moved its default Qt binding to PySide6 — a migration for everyone embedding it.
Its velocity score of 2.5/10 reflects longer-term release cadence; its most recent meaningful update was “3.0.0: PySide6 becomes the default Qt binding, Python 3.10 required”.
Where statsmodels leans on statistics, python and compatibility, silx focuses on synchrotron, qt and hdf5.
silx and statsmodels have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
10. iris · velocity 2.5
Iris ships steadily on a two-a-year cadence, but its feed publishes only pointers.
Its velocity score of 2.5/10 reflects longer-term release cadence.
Where statsmodels leans on statistics, python and compatibility, iris focuses on earth science, release cadence and python.
iris and statsmodels have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
11. Distributions.jl · velocity 2.5
Julia's distribution library grinds forward one distribution at a time.
Its velocity score of 2.5/10 reflects longer-term release cadence.
Where statsmodels leans on statistics, python and compatibility, Distributions.jl focuses on julia, statistics and distributions.
Distributions.jl and statsmodels have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full Distributions.jl trajectory → · Compare statsmodels vs Distributions.jl →
12. PySCF · velocity 2.5
Quantum chemistry package adding whole method families every release.
Its velocity score of 2.5/10 reflects longer-term release cadence.
Where statsmodels leans on statistics, python and compatibility, PySCF focuses on quantum chemistry, periodic systems and coupled cluster.
PySCF and statsmodels 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 statsmodels?
The top statsmodels alternatives we currently track in analytics tools are dbt Core, OpenCTI, Fulcrum, Omni, Hex, ranked by recent ship velocity.
How is this list of statsmodels alternatives ranked?
Alternatives are ranked by Sparkpulse's velocity_score — release cadence + 30-day spark count + sector-relative ship rate.
Can I compare statsmodels directly with one of these alternatives?
Yes — every card has a "Compare with statsmodels" link to a side-by-side /compare page.