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OpenCTI is rebuilding its connector layer into a marketplace and wiring the platform to XTM Hub
Alternatives · analytics tools
cmdstanpy alternatives
The best cmdstanpy alternatives in analytics tools, ranked by Sparkpulse's velocity_score.
Updated Aug 12, 2026
Looking for the best alternatives to cmdstanpy? Sparkpulse tracks and ranks 12 alternatives in analytics tools by shipping velocity — how frequently each ships meaningful updates, verified from official changelogs. For reference, cmdstanpy 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 cmdstanpy
CmdStanPy is clearing deprecations ahead of a 2.0 it keeps announcing.
CmdStanPy is at v1.3.0, which added a diagnose method on CmdStanModel, sampler timing information, create_inits() across the stanfit classes, and much faster MCMC CSV parsing. Every release in this window opens with the same notice: the next non-bugfix release will be 2.0 and will remove existing deprecations. In line with that, 1.3.0 drops Python 3.8 and renames the metric argument to inv_metric.
Velocity 0.0 · Last update 1h ago
Top 12 alternatives to cmdstanpy
Ranked by recent ship velocity. Tap any card for the full editorial breakdown, or pivot to a head-to-head.
ANALYTICS
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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OpenHouse is hardening the seams where table policies and jobs quietly fail.
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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
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Quantum chemistry package adding whole method families every release.
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OpenMC's random ray solver has gone from new arrival to the centre of every release
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TsFile is quietly rebuilding itself as an Arrow-speaking interchange format
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tidyr replaced separate() with a family that says what it does.
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modeltime built conformal intervals in, then went quiet on features.
cmdstanpy 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 |
|---|---|---|---|---|
| cmdstanpy (baseline) | 0.0 | 0 | bayesianstanmcmc | — |
| 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 |
| OpenHouse | 5.0 | 0 | icebergdata governancetable policies | — |
| 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 | — |
| OpenMC | 2.5 | 0 | monte-carlo-transportrandom-raydepletion | OpenMC 0.15.0 introduces a random ray transport solver |
| Apache TsFile | 2.5 | 0 | time-seriescolumnar-formatapache-arrow | — |
| tidyr | 0.0 | 0 | tidyversedata-reshapingpivoting | — |
| modeltime | 0.0 | 0 | forecastingconformal-predictiontidymodels | — |
The 12 best cmdstanpy alternatives, in depth
1. 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 cmdstanpy'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 cmdstanpy leans on bayesian, stan and mcmc, OpenCTI focuses on threat intelligence, connector marketplace and xtm hub.
Over the last 30 days OpenCTI has been shipping faster than cmdstanpy — a point in its favour if release momentum matters to you.
2. 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 cmdstanpy leans on bayesian, stan and mcmc, Fulcrum focuses on field data collection, esri arcgis and offline maps.
Fulcrum and cmdstanpy have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
3. 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 cmdstanpy'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 cmdstanpy leans on bayesian, stan and mcmc, Omni focuses on business intelligence, semantic model and ai routines.
Over the last 30 days Omni has been shipping faster than cmdstanpy — a point in its favour if release momentum matters to you.
4. 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 cmdstanpy leans on bayesian, stan and mcmc, OpenHouse focuses on iceberg, data governance and table policies.
OpenHouse and cmdstanpy 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 cmdstanpy vs OpenHouse →
5. 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 cmdstanpy leans on bayesian, stan and mcmc, silx focuses on synchrotron, qt and hdf5.
silx and cmdstanpy have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
6. 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 cmdstanpy leans on bayesian, stan and mcmc, iris focuses on earth science, release cadence and python.
iris and cmdstanpy have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
7. 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 cmdstanpy leans on bayesian, stan and mcmc, Distributions.jl focuses on julia, statistics and distributions.
Distributions.jl and cmdstanpy 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 cmdstanpy vs Distributions.jl →
8. 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 cmdstanpy leans on bayesian, stan and mcmc, PySCF focuses on quantum chemistry, periodic systems and coupled cluster.
PySCF and cmdstanpy have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
9. OpenMC · velocity 2.5
OpenMC's random ray solver has gone from new arrival to the centre of every release.
Its velocity score of 2.5/10 reflects longer-term release cadence; its most recent meaningful update was “OpenMC 0.15.0 introduces a random ray transport solver”.
Where cmdstanpy leans on bayesian, stan and mcmc, OpenMC focuses on monte carlo transport, random ray and depletion.
OpenMC and cmdstanpy have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
10. Apache TsFile · velocity 2.5
TsFile is quietly rebuilding itself as an Arrow-speaking interchange format.
Its velocity score of 2.5/10 reflects longer-term release cadence.
Where cmdstanpy leans on bayesian, stan and mcmc, Apache TsFile focuses on time series, columnar format and apache arrow.
Apache TsFile and cmdstanpy have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full Apache TsFile trajectory → · Compare cmdstanpy vs Apache TsFile →
11. tidyr · velocity 0.0
Tidyr replaced separate() with a family that says what it does.
Its velocity score of 0.0/10 reflects longer-term release cadence.
Where cmdstanpy leans on bayesian, stan and mcmc, tidyr focuses on tidyverse, data reshaping and pivoting.
tidyr and cmdstanpy have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
12. modeltime · velocity 0.0
Modeltime built conformal intervals in, then went quiet on features.
Its velocity score of 0.0/10 reflects longer-term release cadence.
Where cmdstanpy leans on bayesian, stan and mcmc, modeltime focuses on forecasting, conformal prediction and tidymodels.
modeltime and cmdstanpy have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full modeltime trajectory → · Compare cmdstanpy vs modeltime →
Frequently asked questions
What are the best alternatives to cmdstanpy?
The top cmdstanpy alternatives we currently track in analytics tools are OpenCTI, Fulcrum, Omni, OpenHouse, silx, ranked by recent ship velocity.
How is this list of cmdstanpy alternatives ranked?
Alternatives are ranked by Sparkpulse's velocity_score — release cadence + 30-day spark count + sector-relative ship rate.
Can I compare cmdstanpy directly with one of these alternatives?
Yes — every card has a "Compare with cmdstanpy" link to a side-by-side /compare page.