silx
silx settles into maintenance a release after its PySide6 migration
A side-by-side editorial comparison of ApexCharts and edibble — release velocity, themes, recent moves, and the top alternatives to consider.
Licensing settled, ApexCharts is back to changing what a chart can take as input.
ApexCharts is deep into a fast v6 line, shipping roughly weekly. The licensing arc that dominated 6.5 through 6.7 — trial watermarks, the first premium-gated chart type, then entitlement checks — has settled, and the last three releases are library work again. 6.9.0 is the largest of them: a histogram type that bins raw samples, a morph engine that conserves marks across chart types, and the end of the library's dependency-free packaging.
A grammar for experimental design that learned to compose designs and track its own provenance.
edibble expresses experimental designs declaratively — units, treatments, records and their allotments — rather than calling a canned design function. Since 1.0.0 its internals run on a Provenance object that records the commands used to build a design, and 1.1.0 added conditional treatments, design composition and a separated simulation step. Recent work has focused on designs constructed from existing data rather than from scratch.
ApexCharts is deep into a fast v6 line, shipping roughly weekly. The licensing arc that dominated 6.5 through 6.7 — trial watermarks, the first premium-gated chart type, then entitlement checks — has settled, and the last three releases are library work again. 6.9.0 is the largest of them: a histogram type that bins raw samples, a morph engine that conserves marks across chart types, and the end of the library's dependency-free packaging.
The through-line now is input and arrangement rather than catalogue size. Charts increasingly accept the measurements a team actually has instead of pre-aggregated values, and the seams that let you hand a chart its own layout — plotOptions.unit.positions, the pluggable layout hook — are being filled in with kits rather than hard-coded options. The premium boundary has stopped moving; the free catalogue keeps growing around it.
Expect the raw-observation pattern to reach another chart type now that the bar pathway handles binning, and expect the remaining pluggable seams to get companion kits the way positions just did.
edibble expresses experimental designs declaratively — units, treatments, records and their allotments — rather than calling a canned design function. Since 1.0.0 its internals run on a Provenance object that records the commands used to build a design, and 1.1.0 added conditional treatments, design composition and a separated simulation step. Recent work has focused on designs constructed from existing data rather than from scratch.
Development has moved from vocabulary to composition. Early releases established the core grammar; 1.0.0 replaced the internal R6 machinery with a Provenance object that tracks both internal and external commands, which is what lets a design carry its own construction history. On that foundation 1.1.0 added the ability to add two designs together, express conditional treatment structures, and split simulation specification from execution. The 2025 release turns toward a different entry point — wiring up level edges and unit attributes when an edibble object is built from data that already exists, rather than from a design declared up front.
Expect continued work on designs derived from existing data, since that is where the last release concentrated and it is the path least covered by the declarative grammar.
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 edibble.
silx settles into maintenance a release after its PySide6 migration
Plotly is turning its cloud into a metered compute platform with an enterprise on-ramp.
aniread stops asking you to know which tracker wrote the file
Rho's release machinery finally produced a stable build — and it shipped no new product.
Usermaven closed the loop: data comes in from anywhere, and now it goes back out.
OpenCTI spends a release unblocking queues and hardening upserts
See all ApexCharts alternatives → · See all edibble 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 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.
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.
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 edibble alternatives in Analytics are ranked by recent ship velocity. Browse the "edibble alternatives" section above for the current picks, or visit /alternatives/edibble for the full list with editorial commentary on each.