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Comparison · Analytics
ApexCharts vs statsmodels
A side-by-side editorial comparison of ApexCharts and statsmodels — release velocity, themes, recent moves, and the top alternatives to consider.
ApexCharts vs statsmodels: at a glance
What is ApexCharts?
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.
What is statsmodels?
statsmodels ships only what the ecosystem breaks — six releases, no new statistics.
Every release in this window is a compatibility release. 0.14.2 and 0.14.3 absorbed NumPy 2, 0.14.5 fixed an import failure caused by SciPy 1.16, and 0.14.6 did the same for pandas 3.0. The only additive change across two years is Pyodide support in 0.14.4, described in its own notes as one feature and no fixes. A 0.15.0.dev0 tag exists from 2023 and has not been followed by a 0.15 release.
ApexCharts vs statsmodels: editorial side-by-side
ApexCharts
10.0ANALYTICS
Three releases in three weeks moved ApexCharts from free library to gated open-core.
◆ Current state
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.
◆ Where it's heading
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.
◆ Prediction
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.
statsmodels
0.0ANALYTICS
statsmodels ships only what the ecosystem breaks — six releases, no new statistics.
◆ Current state
Every release in this window is a compatibility release. 0.14.2 and 0.14.3 absorbed NumPy 2, 0.14.5 fixed an import failure caused by SciPy 1.16, and 0.14.6 did the same for pandas 3.0. The only additive change across two years is Pyodide support in 0.14.4, described in its own notes as one feature and no fixes. A 0.15.0.dev0 tag exists from 2023 and has not been followed by a 0.15 release.
◆ Where it's heading
The library is being kept alive rather than developed: each release answers a break introduced upstream, and the interval between them is set by the NumPy, SciPy and pandas release calendars rather than by anything statsmodels is building. Two consecutive releases whose stated purpose was restoring the ability to import the package is the sharpest available signal about maintainer bandwidth. The 0.15 line remains a dev tag with no visible progress toward a release.
◆ Prediction
The next release is most likely another compatibility patch triggered by a NumPy, SciPy or pandas major, and nothing in these entries indicates 0.15 is close.
Alternatives to ApexCharts and statsmodels
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 statsmodels.
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.
StatsBase.jl
StatsBase.jl is in caretaker mode — correctness fixes in, dependency bumps out.
iris
Iris ships steadily on a two-a-year cadence, but its feed publishes only pointers.
shiny
Shiny made reactive apps observable, then gave them a way to tear themselves down
See all ApexCharts alternatives → · See all statsmodels alternatives →
Recent activity from ApexCharts and statsmodels
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 2d agoApexChartsPer-data-point label offsets land as functions
- 3d agoApexChartsPie and donut slice clicks work again after a 6.7.0 regression
- 10d agoApexChartsSunburst charts arrive; premium features now need an entitled plan ⚡
- 15d agoApexChartsUnit chart is the first premium-gated chart type ⚡
- 22d agoApexChartsLicensing arrives: seven premium modules watermark without a key ⚡
- 22d agoApexChartsHeatmaps get a continuous axis and canvas rendering
- 8mo agostatsmodels0.14.6: restores importing under pandas 3.0
- 1y agostatsmodels0.14.5: restores importing under SciPy 1.16
- 1y agostatsmodels0.14.4: Pyodide support
- 1y agostatsmodels0.14.3: NumPy 2 environments and corrected macOS builds
- 2y agostatsmodels0.14.2: full NumPy 2 compatibility
- 2y agostatsmodelsRelease 0.14.1
Frequently asked questions
What is the difference between ApexCharts and statsmodels?
They serve adjacent needs but don't currently overlap on shipped themes. ApexCharts is currently shipping more aggressively (velocity 10.0 vs 0.0), 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.
Is ApexCharts better than statsmodels?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. ApexCharts is currently shipping more aggressively (velocity 10.0 vs 0.0), 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.
What are the best alternatives to ApexCharts?
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.
What are the best alternatives to statsmodels?
Top statsmodels alternatives in Analytics are ranked by recent ship velocity. Browse the "statsmodels alternatives" section above for the current picks, or visit /alternatives/statsmodels for the full list with editorial commentary on each.