Tracking: trace types not yet exposed in plotly.rs (plotly.js 3.7.0 parity)
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Descripción
Tracking: trace types not yet exposed in plotly.rs (plotly.js 3.7.0 parity)
Summary
Measured against the actively-supported trace types in plotly.js 3.7.0, plotly.rs exposes 27 of 46, leaving 19 unimplemented. This issue tracks the remaining trace types so contributions can be coordinated and duplicate work avoided.
plotly.js 3.7.0 defines 49 trace types, but 3 are deprecated (the Mapbox family — see below) and are excluded from the parity target. The list was generated by diffing the trace type tags plotly.rs can serialize (the PlotType enum) against the authoritative plot-schema.json shipped with plotly.js v3.7.0.
Note: this is trace-type coverage. Attribute-level parity for the already-implemented traces is being addressed separately in the plotly.js 3.7 attribute backfill work.
Deprecated in plotly.js 3.7.0 — excluded from parity (3)
These are deprecated upstream in favour of the MapLibre map subplot traces (migration guide):
| Deprecated trace | Recommended replacement | plotly.rs status |
|---|---|---|
scattermapbox |
scattermap |
both already exposed |
densitymapbox |
densitymap |
both already exposed |
choroplethmapbox |
choroplethmap |
replacement already exposed; deprecated trace not implemented (and won't be) |
plotly.rs already ships every recommended map replacement, so there is no coverage gap here — no action needed. The two deprecated traces that are implemented (scattermapbox, densitymapbox) can be retained for back-compat and eventually deprecated in lockstep with upstream.
Currently exposed — actively-supported (27)
bar · box · candlestick · choropleth · choroplethmap · contour · densitymap · heatmap · histogram · histogram2dcontour · image · mesh3d · ohlc · pie · sankey · scatter · scatter3d · scattergeo · scattergl · scattermap · scatterpolar · scatterpolargl · sunburst · surface · table · treemap · violin
(plus the deprecated scattermapbox and densitymapbox, listed above)
Missing — actively-supported (19)
3D scientific / volumetric
-
cone— 3D vector / quiver fields -
streamtube— 3D flow streamlines -
isosurface— 3D isosurfaces from volume data -
volume— 3D volume rendering
Carpet family (needs a shared carpet-axis abstraction)
-
carpet— base carpet axis system -
contourcarpet— contours on a carpet axis -
scattercarpet— scatter on a carpet axis
Cartesian statistical / financial
-
histogram2d— 2D histogram heatmap -
funnel— funnel charts -
waterfall— waterfall / bridge charts
Parallel-coordinate
-
parcoords— parallel coordinates (continuous) -
parcats— parallel categories (categorical)
Specialized subplots
-
barpolar— bar charts on a polar axis (wind-rose) -
scatterternary— scatter on a ternary (3-component) plot -
scattersmith— scatter on a Smith chart (RF / impedance)
Hierarchical
-
icicle— icicle charts (sibling ofsunburst/treemap)
Other
-
indicator— KPI gauges / number + delta displays -
splom— scatter-plot matrix -
funnelarea— funnel-area (pie-like funnel)
Suggested prioritization
- Cheap wins — close siblings of existing traces that can reuse most of their building blocks:
histogram2d(cf.histogram2dcontour/heatmap) andicicle(cf.sunburst/treemap). - High user demand — common business-chart types:
indicator,funnel,waterfall,barpolar. - Larger effort — the carpet family (
carpet+contourcarpet+scattercarpet) depends on first modelling a shared carpet-axis abstraction.
Notes for implementers
Adding a trace follows the established pattern (see CONTRIBUTING.md / CLAUDE.md):
- Create
plotly/src/traces/<name>.rs, deriveFieldSetterwith#[field_setter(box_self, kind = "trace")]. - Add the corresponding
PlotTypevariant (with the correct serderename). - Implement
Trace::to_json, then re-export fromtraces/mod.rsandlib.rs. - Add a serialize round-trip test and a
CHANGELOG.mdentry.
Guía de contribución
Primeros pasos
- Lee el issue completo y luego la guía de contribución del proyecto.
- Comenta en el issue que vas a ocuparte — evita que dos personas hagan lo mismo.
- Haz un fork del repositorio y trabaja en una rama.
- Abre un pull request que haga referencia al número del issue.
Línea de trabajo
Comienza con CONTRIBUTING.md y CLAUDE.md, y después inspecciona un trace existente en plotly/src/traces/ y el enum PlotType. Elige un tipo de trace sin marcar y añade su módulo de trace, la variante del enum, las exportaciones, una prueba de round-trip de serialización y una entrada en CHANGELOG.md siguiendo el patrón establecido. Se considera terminado cuando el trace seleccionado está expuesto y se serializa correctamente.
Escrito por el modelo de indexación a partir del texto del issue.
Evaluación
- Stack tecnológico
- rust
- Área
- data-visualization
- Tipo de issue
- Nueva funcionalidad
- Dificultad
- 5/5
- Tiempo estimado
- Más de una semana
- Estado de actividad
- Tranquilo
- Claridad
- Bastante claro
- Aptitud para principiantes
- 38/100