silx
silx settles into maintenance a release after its PySide6 migration
A side-by-side editorial comparison of Plotly and vellumwidget — release velocity, themes, recent moves, and the top alternatives to consider.
Plotly is turning its cloud into a metered compute platform with an enterprise on-ramp.
Plotly ships on two tracks. Plotly Studio, the desktop AI app-builder, releases every one to two weeks and has spent v0.0.80 through v0.0.86 on credential handling, reasoning transparency, personalization and now the reliability of the agent session engine itself. Plotly Cloud is the louder track: since late May it has added viewer-seat pricing, domain verification, per-app compute modes with credit-metered billing, and customer-owned domains with managed TLS.
vellumwidget is dissolving its own API: interaction now lives in the plot spec, not the widget call.
vellumwidget compiles a vellum scene or a vellumplot plot into a self-contained client-side htmlwidget with hover, select, brush, lasso, pan/zoom and export, and no server round-trip. The two-way Shiny story is complete: interactions surface as reactive inputs keyed by output id, and vellumwidget_proxy() drives an already-rendered widget from the server without re-rendering it. The last two releases are fidelity work rather than new surface, calibrating hit-testing from the rendered positions of marks and rendering the raster base image at 2x for HiDPI screens.
Plotly ships on two tracks. Plotly Studio, the desktop AI app-builder, releases every one to two weeks and has spent v0.0.80 through v0.0.86 on credential handling, reasoning transparency, personalization and now the reliability of the agent session engine itself. Plotly Cloud is the louder track: since late May it has added viewer-seat pricing, domain verification, per-app compute modes with credit-metered billing, and customer-owned domains with managed TLS.
The Cloud releases are assembling the standard pieces of a hosting business in order — identity first (domain verification, explicitly framed as the step before SSO), then billing (viewer seats, then metered compute credits), and now production-grade serving (custom domains, automatic certificate renewal). Studio is being hardened as the authoring front end that feeds it: Universal Deployment pushed beyond Dash apps, credentials saved once and reused, a Winget channel to widen Windows installs, and in v0.0.86 a rebuilt session engine plus automatic retries so agent runs survive expired tokens. The two tracks converge on one funnel — author in Studio, deploy to Cloud, pay by compute consumed.
The Domain Verification entry names SSO as the next step and places it in the Enterprise tier, so single sign-on is the most likely Cloud release next. Studio should hold its one-to-two-week cadence, with the newly added app thumbnails pointing toward more work on browsing and organizing generated apps.
vellumwidget compiles a vellum scene or a vellumplot plot into a self-contained client-side htmlwidget with hover, select, brush, lasso, pan/zoom and export, and no server round-trip. The two-way Shiny story is complete: interactions surface as reactive inputs keyed by output id, and vellumwidget_proxy() drives an already-rendered widget from the server without re-rendering it. The last two releases are fidelity work rather than new surface, calibrating hit-testing from the rendered positions of marks and rendering the raster base image at 2x for HiDPI screens.
The direction is declarative. 0.7.0 removed the interaction-intent arguments from as_widget() outright, dropping the signature from roughly 36 arguments to 24 and moving highlight, filter and cross-filter into vellumplot's spec via select_point(), condition() and filter_by(). Each release since has enacted more of that compiled spec on the frozen scene, from conditional encodings to single-view filters to cross-view cross-filtering, leaving the widget as an interpreter of the plot rather than a configuration surface of its own. The bug fixes track the same theme the engine's do: measured geometry and rendered geometry must not drift.
The notes name the remaining hold-outs explicitly, saying hover_mode, crosshair, legend_click, select_mode and the tooltip-appearance arguments remain only until their spec equivalents land, so the next releases most likely move those into vellumplot and shrink as_widget() further. The scale binds flagged as following the filter work are the other stated next step.
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 Plotly or vellumwidget.
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See all Plotly alternatives → · See all vellumwidget alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. Plotly and vellumwidget are shipping at a similar cadence (velocity 6.3 vs 6.3, both within Sparkpulse's "active" band). 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. Plotly and vellumwidget are shipping at a similar cadence (velocity 6.3 vs 6.3, both within Sparkpulse's "active" band). For your specific use case, the alternatives sections above list other Analytics products to evaluate alongside.
Top Plotly alternatives in Analytics are ranked by recent ship velocity. Browse the "Plotly alternatives" section above for the current picks, or visit /alternatives/plotly for the full list with editorial commentary on each.
Top vellumwidget alternatives in Analytics are ranked by recent ship velocity. Browse the "vellumwidget alternatives" section above for the current picks, or visit /alternatives/vellumwidget for the full list with editorial commentary on each.