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bezierkit

bezierkit is a small mathematical toolkit for constructing and analyzing Bézier curves.

It is renderer-independent: it provides curve construction, evaluation, subdivision and sampling, and leaves plotting to consumers such as Matplotlib, SVG or TikZ.

Pre-release

bezierkit 0.5.0rc1 is a release candidate. Install it with pip install --pre bezierkit (see Installation).
Documented version 0.5.0rc1
Python 3.10 or later
Dependencies numpy (optional extras: cli, matplotlib)
Used by utility-viz, for curves and TikZ output
Source github.com/EconViz/bezierkit
License MIT

What it covers

  • Curves of arbitrary degree and dimension: BezierCurve, CubicBezierSegment and PiecewiseBezier, with immutable Point, Vector and PointSet value objects
  • Evaluation, derivatives, splitting and uniform sampling
  • Curve construction from planar slopes (bezierkit.construction.PlanarSlopes)
  • Interpolation, adaptive fitting of a function graph, and tracing of implicit level sets
  • Exporters for a versioned JSON format, native SVG cubic path data and native TikZ controls commands
  • An optional Matplotlib path adapter and an optional command line interface

Scope

Rendering style and diagram semantics are intentionally outside this package. Intersections, B-splines and NURBS are future work.

Next steps

  • Installation

    Install the pre-release with pip or uv.

    Installation

  • Quick start

    Evaluate a curve, export it as SVG and TikZ, and use the command line.

    Quick start

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