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reflex-tanstack-charts

Custom Reflex component wrapping TanStack Charts: a typed, layer-composable and accessible chart grammar (SVG, keyboard focus, ~16 KiB gzip for a compact line chart). Declare charts 100% in Python; no JavaScript.

Built on TanStack Charts 1.1.0 (stable since 1.0); the npm versions are pinned and bumps go through a Delta Spec (see specs/ and changes/).

Installation

uv add reflex-tanstack-charts        # or pip install reflex-tanstack-charts

Minimal example

import reflex as rx
from reflex_tanstack_charts import tanstack_chart, bar_y, axis, scale

data = [{"letter": "E", "frequency": 0.127}, {"letter": "T", "frequency": 0.091}]

def page() -> rx.Component:
    return tanstack_chart(
        marks=[bar_y(data, x="letter", y="frequency")],
        x=axis(scale=scale("band", padding=0.18)),
        y=axis(grid=True, label="Frequency", ticks={"format": {"style": "percent"}}),
        tooltip=True,
        aria_label="Letter frequencies",
    )

Supported marks (v1 contract)

Python helper TanStack mark Typical use
line_y / line_x lineY / lineX trends, time series
area_y / area_x areaY / areaX areas and bands (y1+y2 / x1+x2)
bar_y / bar_x barY / barX vertical bars / horizontal ranking
dot dot scatter, bubbles (r as a number or a field)
rule_x / rule_y ruleX / ruleY reference lines and targets
tick_x / tick_y tickX / tickY strip plots, ranges
cell cell ordinal heatmaps
text text annotations
pie pie (polar) pie and donut (inner_radius)

Marks compose in layers over shared scales, just like in TanStack:

tanstack_chart(
    marks=[
        area_y(weeks, x="week", y1="lo", y2="hi", fill_opacity=0.2),
        rule_y([70], stroke_dasharray="7 7"),
        line_y(weeks, x="week", y="rate", curve="monotone-x", points=True),
        text(releases, x="week", y="rate", text="label", dy=-16),
    ],
    x=axis(scale=scale("utc"), ticks={"format": {"month": "short", "day": "numeric"}}),
    y=axis(grid=True, label="Activation (%)"),
    aria_label="Weekly activation",
)

Scales

linear, band, point, ordinal (compact ones from @tanstack/charts/scales/*) and utc, time, log, sqrt (via d3-scale). Python datetime/date values are serialized to ISO-8601 and the bridge rehydrates them back to Date.

Events into Python

class S(rx.State):
    @rx.event
    def pick(self, point: dict | None):  # {"mark_id", "key", "x_value", "y_value", "datum"}
        ...

tanstack_chart(..., on_focus_change=S.pick, on_select=S.pick)

Reactive data

Pass an rx.Var as the dataset and the chart re-renders when the state mutates (with animate=True, using a transition):

tanstack_chart(marks=[bar_y(State.data, x="cat", y="val")], animate=True, ...)

Theming

tanstack_chart(..., theme={"--ts-chart-grid": "#33415555"})

Demo

Gallery with the 14 marks, events, reactivity and graceful degradation:

uv sync
cd tanstack_charts_demo
uv run reflex run

Development

Spec-anchored project (SDD): the specs live in specs/ (constitution, PRD with EARS criteria, API spec, tech design, data model, plan, tasks and the Analyze gate). Tests cite the REQs they verify.

uv sync
uv run pytest
uv run ruff check custom_components tests

License

MIT © Ernesto Crespo

Metadata

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