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Comparison · Analytics
iris vs Apache Superset
A side-by-side editorial comparison of iris and Apache Superset — release velocity, themes, recent moves, and the top alternatives to consider.
iris vs Apache Superset: at a glance
What is 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.
What is Apache Superset?
Superset's tracked feed is a Helm chart tag stream with no notes attached.
The feed being tracked carries Apache Superset's Helm chart releases rather than Superset itself. Six chart versions landed between mid-July and 10 August, walking 0.21.x up to 0.22.5, and every entry carries only the project's boilerplate one-line description. What actually changed in any given chart bump is not disclosed in the feed.
iris vs Apache Superset: editorial side-by-side
iris
2.5ANALYTICS
Iris ships steadily on a two-a-year cadence, but its feed publishes only pointers.
◆ Current state
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.
◆ Where it's heading
The version numbers say a mature Met Office library is being maintained on a predictable schedule; nothing in the published entries says what is being maintained. Until the project puts release content in the tag body, its public trail will read as cadence without substance, and readers have to leave the feed to learn anything. The pattern has been identical across four consecutive releases, so it is a deliberate publishing choice rather than an oversight.
◆ Prediction
Expect v3.17.0rc0 around late 2026 on the same schedule, carrying the same boilerplate — the notes will again live on the documentation site rather than in the release entry.
Apache Superset
5.0ANALYTICS
Superset's tracked feed is a Helm chart tag stream with no notes attached.
◆ Current state
The feed being tracked carries Apache Superset's Helm chart releases rather than Superset itself. Six chart versions landed between mid-July and 10 August, walking 0.21.x up to 0.22.5, and every entry carries only the project's boilerplate one-line description. What actually changed in any given chart bump is not disclosed in the feed.
◆ Where it's heading
Chart releases are arriving roughly weekly, which points to steady packaging maintenance underneath — image bumps, template corrections, values-file changes — rather than a visible product push. Because the feed publishes no notes, the deployment layer is the only Superset surface observable here. Anyone tracking application-level work needs the core repository, not this stream.
◆ Prediction
The cadence supports exactly one confident call: more chart point releases within weeks. The entries carry no content indicating what those bumps will contain.
Alternatives to iris and Apache Superset
Other Analytics products tracked by Sparkpulse, ranked by recent ship velocity. Each card links to a full editorial trajectory and lets you pivot into a head-to-head comparison with either iris or Apache Superset.
OpenHouse
OpenHouse is hardening the seams where table policies and jobs quietly fail.
silx
silx 3.0 moved its default Qt binding to PySide6 — a migration for everyone embedding it.
statsmodels
statsmodels ships only what the ecosystem breaks — six releases, no new statistics.
StatsBase.jl
StatsBase.jl is in caretaker mode — correctness fixes in, dependency bumps out.
shiny
Shiny made reactive apps observable, then gave them a way to tear themselves down
See all iris alternatives → · See all Apache Superset alternatives →
Recent activity from iris and Apache Superset
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 2d agoApache Supersetsuperset-helm-chart-0.22.5
- 13d agoirisv3.16.0rc0
- 15d agoApache Supersetsuperset-helm-chart-0.22.4
- 18d agoApache Supersetsuperset-helm-chart-0.22.3
- 20d agoApache Supersetsuperset-helm-chart-0.22.2
- 21d agoApache Supersetsuperset-helm-chart-0.22.1
- 24d agoApache Supersetsuperset-helm-chart-0.22.0
- 4mo agoirisv3.15.0rc0
- 9mo agoirisv3.14.0rc0
- 1y agoirisv3.13.0rc0
Frequently asked questions
What is the difference between iris and Apache Superset?
They serve adjacent needs but don't currently overlap on shipped themes. Apache Superset is currently shipping more aggressively (velocity 5.0 vs 2.5), with 0 editorial sparks in the last 30 days against 0. See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.
Is iris better than Apache Superset?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. Apache Superset is currently shipping more aggressively (velocity 5.0 vs 2.5), with 0 editorial sparks in the last 30 days against 0. For your specific use case, the alternatives sections above list other Analytics products to evaluate alongside.
What are the best alternatives to iris?
Top iris alternatives in Analytics are ranked by recent ship velocity. Browse the "iris alternatives" section above for the current picks, or visit /alternatives/scitools-iris for the full list with editorial commentary on each.
What are the best alternatives to Apache Superset?
Top Apache Superset alternatives in Analytics are ranked by recent ship velocity. Browse the "Apache Superset alternatives" section above for the current picks, or visit /alternatives/superset for the full list with editorial commentary on each.