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DoWhy adds one estimation method a year and keeps its identification edge.
A side-by-side editorial comparison of ApexCharts and iris — release velocity, themes, recent moves, and the top alternatives to consider.
Three releases in three weeks moved ApexCharts from free library to gated open-core.
ApexCharts is shipping the v6 line at an unusual clip — ten releases since 20 July, spanning a plugin platform, a hybrid SVG/canvas renderer, and two new chart types. The core is still zero-dependency and SVG-first, and every release states that existing configs render unchanged. What is new is a commercial layer: an offline licence check now sits over seven premium modules and one chart type, while the free catalogue keeps expanding alongside it.
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.
ApexCharts is shipping the v6 line at an unusual clip — ten releases since 20 July, spanning a plugin platform, a hybrid SVG/canvas renderer, and two new chart types. The core is still zero-dependency and SVG-first, and every release states that existing configs render unchanged. What is new is a commercial layer: an offline licence check now sits over seven premium modules and one chart type, while the free catalogue keeps expanding alongside it.
The commercialisation arc tightens one notch per release. 6.5.0 introduced licensing with a watermark and an explicit promise that no chart type would be gated; 6.6.0 gated one; 6.7.0 changed enforcement from accepting any valid key to requiring an entitled plan. Running underneath is a genuine engineering push — incremental updateSeries, canvas cell rendering, a numeric fast path for line and area — that makes the paid layer easier to justify. The pattern is a generous free core with the new authoring and analysis surface behind a key.
Expect more premium chart types following `unit`, since the gating machinery and trial-mode watermark are now built and proven. The shared key format across the apex* family suggests entitlement checks propagate to the sibling libraries next.
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.
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.
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.
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 ApexCharts or iris.
DoWhy adds one estimation method a year and keeps its identification edge.
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.
statsmodels ships only what the ecosystem breaks — six releases, no new statistics.
StatsBase.jl is in caretaker mode — correctness fixes in, dependency bumps out.
Shiny made reactive apps observable, then gave them a way to tear themselves down
See all ApexCharts alternatives → · See all iris alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. ApexCharts is currently shipping more aggressively (velocity 10.0 vs 2.5), with 3 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.
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. ApexCharts is currently shipping more aggressively (velocity 10.0 vs 2.5), with 3 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.
Top ApexCharts alternatives in Analytics are ranked by recent ship velocity. Browse the "ApexCharts alternatives" section above for the current picks, or visit /alternatives/apexcharts for the full list with editorial commentary on each.
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.