ANALYTICS
OpenCTI is rebuilding its connector layer into a marketplace and wiring the platform to XTM Hub
Alternatives · analytics tools
performance alternatives
The best performance alternatives in analytics tools, ranked by Sparkpulse's velocity_score.
Updated Aug 12, 2026
Looking for the best alternatives to performance? Sparkpulse tracks and ranks 12 alternatives in analytics tools by shipping velocity — how frequently each ships meaningful updates, verified from official changelogs. For reference, performance 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 performance
performance keeps adding ways to check a model you have already fitted.
performance is at 0.17.1, which added check_priors() for prior predictive checks on Bayesian models and gave check_overdispersion(), check_model() and check_predictions() arguments to control residual type and plot range. The releases before it are a similar mix: a -2LL criterion column in test_likelihoodratio(), Bayesian predictive checks routed through modelbased, and in 0.16.0 a set of breaking renames including RMSA to the correct RMSR.
Velocity 0.0 · Last update 1h ago
Top 12 alternatives to performance
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
ANALYTICS
Omni ships weekly, and almost every week the headline item is an AI feature
ANALYTICS
OpenHouse is hardening the seams where table policies and jobs quietly fail.
ANALYTICS
silx 3.0 moved its default Qt binding to PySide6 — a migration for everyone embedding it.
ANALYTICS
Iris ships steadily on a two-a-year cadence, but its feed publishes only pointers.
ANALYTICS
Julia's distribution library grinds forward one distribution at a time
ANALYTICS
Quantum chemistry package adding whole method families every release.
ANALYTICS
OpenMC's random ray solver has gone from new arrival to the centre of every release
ANALYTICS
TsFile is quietly rebuilding itself as an Arrow-speaking interchange format
ANALYTICS
tidyr replaced separate() with a family that says what it does.
ANALYTICS
modeltime built conformal intervals in, then went quiet on features.
performance 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 |
|---|---|---|---|---|
| performance (baseline) | 0.0 | 0 | r-languagemodel-diagnosticsbayesian | — |
| 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 performance 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 performance'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 performance leans on r language, model diagnostics and bayesian, OpenCTI focuses on threat intelligence, connector marketplace and xtm hub.
Over the last 30 days OpenCTI has been shipping faster than performance — a point in its favour if release momentum matters to you.
Full OpenCTI trajectory → · Compare performance vs OpenCTI →
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 performance leans on r language, model diagnostics and bayesian, Fulcrum focuses on field data collection, esri arcgis and offline maps.
Fulcrum and performance 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 performance vs Fulcrum →
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 performance'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 performance leans on r language, model diagnostics and bayesian, Omni focuses on business intelligence, semantic model and ai routines.
Over the last 30 days Omni has been shipping faster than performance — 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 performance leans on r language, model diagnostics and bayesian, OpenHouse focuses on iceberg, data governance and table policies.
OpenHouse and performance 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 performance 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 performance leans on r language, model diagnostics and bayesian, silx focuses on synchrotron, qt and hdf5.
silx and performance 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 performance leans on r language, model diagnostics and bayesian, iris focuses on earth science, release cadence and python.
iris and performance 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 performance leans on r language, model diagnostics and bayesian, Distributions.jl focuses on julia, statistics and distributions.
Distributions.jl and performance 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 performance 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 performance leans on r language, model diagnostics and bayesian, PySCF focuses on quantum chemistry, periodic systems and coupled cluster.
PySCF and performance 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 performance leans on r language, model diagnostics and bayesian, OpenMC focuses on monte carlo transport, random ray and depletion.
OpenMC and performance 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 performance leans on r language, model diagnostics and bayesian, Apache TsFile focuses on time series, columnar format and apache arrow.
Apache TsFile and performance 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 performance 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 performance leans on r language, model diagnostics and bayesian, tidyr focuses on tidyverse, data reshaping and pivoting.
tidyr and performance 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 performance leans on r language, model diagnostics and bayesian, modeltime focuses on forecasting, conformal prediction and tidymodels.
modeltime and performance 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 performance vs modeltime →
Frequently asked questions
What are the best alternatives to performance?
The top performance alternatives we currently track in analytics tools are OpenCTI, Fulcrum, Omni, OpenHouse, silx, ranked by recent ship velocity.
How is this list of performance alternatives ranked?
Alternatives are ranked by Sparkpulse's velocity_score — release cadence + 30-day spark count + sector-relative ship rate.
Can I compare performance directly with one of these alternatives?
Yes — every card has a "Compare with performance" link to a side-by-side /compare page.