OpenCTI is rebuilding its connector layer into a marketplace and wiring the platform to XTM Hub
iris alternatives
The best iris alternatives in analytics tools, ranked by Sparkpulse's velocity_score.
Updated Aug 12, 2026
Looking for the best alternatives to iris? Sparkpulse tracks and ranks 12 alternatives in analytics tools by shipping velocity — how frequently each ships meaningful updates, verified from official changelogs. For reference, iris shipped 0 meaningful updates in the last 30 days and carries a velocity score of 2.5 out of 10 in 2026. The alternatives below are ranked the same way, so you're comparing real release momentum, not marketing claims.
About iris
Iris ships steadily on a two-a-year cadence, but its feed publishes only pointers.
Iris tags a release candidate roughly every four to five months — 3.13 through 3.16 over the past year — and the cadence is the only thing the feed actually reports. Every entry is the same seven-line template: a line saying this is a release candidate, conda-forge and PyPI install commands, and a link to a 'What's New' page held elsewhere. No release notes reach the feed at all.
Velocity 2.5 · Last update 1h ago
Top 12 alternatives to iris
Ranked by recent ship velocity. Tap any card for the full editorial breakdown, or pivot to a head-to-head.
Fulcrum is consolidating on Esri, with Google Maps gone September 1
Omni ships weekly, and almost every week the headline item is an AI feature
Hex is moving its agent out of the notebook and onto programmable surfaces.
OpenHouse is hardening the seams where table policies and jobs quietly fail.
silx 3.0 moved its default Qt binding to PySide6 — a migration for everyone embedding it.
Julia's distribution library grinds forward one distribution at a time
Quantum chemistry package adding whole method families every release.
OpenMC's random ray solver has gone from new arrival to the centre of every release
TsFile is quietly rebuilding itself as an Arrow-speaking interchange format
modeltime built conformal intervals in, then went quiet on features.
performance keeps adding ways to check a model you have already fitted.
iris 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 |
|---|---|---|---|---|
| iris (baseline) | 2.5 | 0 | earth sciencerelease cadencepython | — |
| 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 | — |
| silx | 2.5 | 0 | synchrotronqthdf5 | 3.0.0: PySide6 becomes the default Qt binding, Python 3.10 required |
| 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 | — |
| modeltime | 0.0 | 0 | forecastingconformal-predictiontidymodels | — |
| performance | 0.0 | 0 | r-languagemodel-diagnosticsbayesian | — |
The 12 best iris 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 iris'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 iris leans on earth science, release cadence and python, OpenCTI focuses on threat intelligence, connector marketplace and xtm hub.
Over the last 30 days OpenCTI has been shipping faster than iris — 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 iris leans on earth science, release cadence and python, Fulcrum focuses on field data collection, esri arcgis and offline maps.
Fulcrum and iris 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 iris'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 iris leans on earth science, release cadence and python, Omni focuses on business intelligence, semantic model and ai routines.
Over the last 30 days Omni has been shipping faster than iris — a point in its favour if release momentum matters to you.
4. 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 iris'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 iris leans on earth science, release cadence and python, Hex focuses on agents, cli and mcp.
Over the last 30 days Hex has been shipping faster than iris — a point in its favour if release momentum matters to you.
5. 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 iris leans on earth science, release cadence and python, OpenHouse focuses on iceberg, data governance and table policies.
OpenHouse and iris have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
6. 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 iris leans on earth science, release cadence and python, silx focuses on synchrotron, qt and hdf5.
silx and iris 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 iris leans on earth science, release cadence and python, Distributions.jl focuses on julia, statistics and distributions.
Distributions.jl and iris 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 iris 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 iris leans on earth science, release cadence and python, PySCF focuses on quantum chemistry, periodic systems and coupled cluster.
PySCF and iris 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 iris leans on earth science, release cadence and python, OpenMC focuses on monte carlo transport, random ray and depletion.
OpenMC and iris 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 iris leans on earth science, release cadence and python, Apache TsFile focuses on time series, columnar format and apache arrow.
Apache TsFile and iris 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 iris vs Apache TsFile →
11. 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 iris leans on earth science, release cadence and python, modeltime focuses on forecasting, conformal prediction and tidymodels.
modeltime and iris have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
12. performance · velocity 0.0
Performance keeps adding ways to check a model you have already fitted.
Its velocity score of 0.0/10 reflects longer-term release cadence.
Where iris leans on earth science, release cadence and python, performance focuses on r language, model diagnostics and bayesian.
performance and iris have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full performance trajectory → · Compare iris vs performance →
Frequently asked questions
What are the best alternatives to iris?
The top iris alternatives we currently track in analytics tools are OpenCTI, Fulcrum, Omni, Hex, OpenHouse, ranked by recent ship velocity.
How is this list of iris alternatives ranked?
Alternatives are ranked by Sparkpulse's velocity_score — release cadence + 30-day spark count + sector-relative ship rate.
Can I compare iris directly with one of these alternatives?
Yes — every card has a "Compare with iris" link to a side-by-side /compare page.