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Comparison · Analytics
Appfigures vs iris
A side-by-side editorial comparison of Appfigures and iris — release velocity, themes, recent moves, and the top alternatives to consider.
Appfigures vs iris: at a glance
| Feature | Appfigures | iris |
|---|---|---|
| Sector | Analytics | Analytics |
| Velocity score | 3.8 | 2.5 |
| Sparks · 30d | 1 | 0 |
| Top themes | app-analytics, agentic, aso, competitive-intelligence | earth science, release cadence, python, release candidates |
| Last editorial update | 1d ago | 1h ago |
| Website | — | Visit → |
What is Appfigures?
Appfigures just made its app-market data something an AI agent can query, not something you screenshot.
Appfigures has spent the last year widening what its estimates cover — iPad data folded into every download and revenue figure, state-level financials in the API, a 15-report App Intelligence suite for competitor research, and Leaderboards that rank apps by explicit metrics instead of opaque store charts. The August release changes who consumes all of that: a CLI built specifically for AI agents, with a hinting system to keep them from misreading the data. The product is no longer only a dashboard.
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.
Appfigures vs iris: editorial side-by-side
Appfigures
3.8ANALYTICS
Appfigures just made its app-market data something an AI agent can query, not something you screenshot.
◆ Current state
Appfigures has spent the last year widening what its estimates cover — iPad data folded into every download and revenue figure, state-level financials in the API, a 15-report App Intelligence suite for competitor research, and Leaderboards that rank apps by explicit metrics instead of opaque store charts. The August release changes who consumes all of that: a CLI built specifically for AI agents, with a hinting system to keep them from misreading the data. The product is no longer only a dashboard.
◆ Where it's heading
The arc runs from data completeness to data access. First they closed gaps in the underlying estimates, then they built more ways to slice them, and now they are exposing the whole surface to agents that can investigate, compare, monitor, and act — including replying to reviews and adjusting Apple Ads campaigns. Each layer assumes the one below it is trustworthy, which is why the accuracy fixes (iPad coverage, keyword popularity, Google Play delay removal) came first.
◆ Prediction
Expect the agent surface to deepen before it widens — more write actions exposed through the CLI, and Leaderboards and App Intelligence reports made directly queryable by agents rather than only through the web reports.
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.
Alternatives to Appfigures and iris
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 Appfigures or iris.
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 Appfigures alternatives → · See all iris alternatives →
Recent activity from Appfigures and iris
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 1d agoAppfiguresIntroducing the Appfigures CLI ⚡
- 13d agoirisv3.16.0rc0
- 1mo agoAppfiguresIntroducing Appfigures Leaderboards
- 3mo agoAppfiguresApp Intelligence for iPad
- 4mo agoirisv3.15.0rc0
- 8mo agoAppfiguresSupport for By State Financial Reports via the API
- 8mo agoAppfiguresDaily Averages Across Reports
- 8mo agoAppfiguresIntroducing the New App Intelligence ⚡
- 9mo agoirisv3.14.0rc0
- 1y agoirisv3.13.0rc0
Frequently asked questions
What is the difference between Appfigures and iris?
They serve adjacent needs but don't currently overlap on shipped themes. Appfigures is currently shipping more aggressively (velocity 3.8 vs 2.5), with 1 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 Appfigures better than iris?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. Appfigures is currently shipping more aggressively (velocity 3.8 vs 2.5), with 1 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 Appfigures?
Top Appfigures alternatives in Analytics are ranked by recent ship velocity. Browse the "Appfigures alternatives" section above for the current picks, or visit /alternatives/appfigures for the full list with editorial commentary on each.
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.