Skip to main content
Pre-release

This release is a pre-release and may not be stable for production use.

FastPlotPy

FastPlotPy is the Python port of FastPlotJs for renderer-neutral scene generation and browser/Jupyter charts. After its first PyPI publication, install with:

python -m pip install fastplotpy

In Python or Jupyter:

from fastplotpy import createChart

chart = createChart({
    "type": "line",
    "width": 800,
    "height": 400,
    "engine": "auto",
    "data": [{"x": 0, "y": 12}, {"x": 1, "y": 18}],
    "axes": {"show": True},
})
chart  # Jupyter displays the interactive browser view.

The local chart view uses the pinned FastPlotJs browser frontend for Canvas, pointer, and WebGL behavior. Its loopback bridge binds to 127.0.0.1 for the chart session. Python owns scene and state APIs; source frontend callbacks can invoke Python formatters. Browser WebAssembly is separate from the optional Python-host Rust core and is not initialized by initWasmPlotEngine() in CPython. The source-named hasNodePlotEngine() and initNodePlotEngine() are Python compatibility aliases for hasRustPlotEngine() and initRustPlotEngine(); they do not start or require Node.js. getRustPlotEngineStatus() reports host native capabilities. getWasmPlotEngineStatus() reports CPython availability, not the state of the separate browser frontend.

Without a browser, plot() produces a renderer-neutral scene:

from fastplotpy import plot

scene = plot({
    "type": "line",
    "width": 800,
    "height": 400,
    "engine": "ts",  # Source spelling selects the Python fallback geometry.
    "data": [{"x": 0, "y": 12}, {"x": 1, "y": 18}],
})

Current Python geometry covers all eleven source chart families, including source-documented 3D LOD, encodings, lighting, accessibility, and multiple subplots. No chart calculation invokes Node.js at package runtime. Strict engine="rust" uses the optional pinned Rust core for supported 2D families and fails explicitly when unavailable. Pie3D reuses pie datum and presentation options, accepts pie3d.extrusionDepth in (0, 1], and uses the shared scene3d.camera. The native 3D PNG path has Windows validation only. renderToPNG() retains the source placeholder behavior.

The source project is FastPlotJs. The first Python alpha candidate is 0.3.0a1; check PyPI separately for publication status. Python 3.11 or newer is required. Its Windows wheel includes Python code, the pinned frontend, the built Rust ABI library, and the MIT License. The source distribution includes the pinned Rust sources and lockfile for optional native builds. Bundled font attribution is in the packaged assets/native/THIRD_PARTY_NOTICES.md file.

Canvas quality

The pinned browser frontend accepts canvas: { pixelRatio: "auto", resolutionScale: 2 } through createChart. Omitted ratios default to 1; logical sizes, text, and pointer coordinates remain unchanged while the backing bitmap scales. Experimental Pie3D also accepts pie3d: { curveTolerance: 0.1 } (default 1 logical pixel; smaller means more faces, within scene3d.maxPoints). Higher settings use more memory and rendering work. The source browser comparison remains in FastPlotJs. The Python source distribution includes the local Python-backed gallery under examples/gallery/; the installed wheel bundles the interactive frontend but does not install the standalone gallery server.

Metadata

Release files for fastplotpy 0.3.0a1

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for fastplotpy 0.3.0a1
File Size Uploaded Provenance
fastplotpy-0.3.0a1.tar.gz 2.7 MB Without provenance Details

Built distribution (wheel)

Table of built distributions (wheels) for fastplotpy 0.3.0a1
File Interpreter ABI Platform
fastplotpy-0.3.0a1-py3-none-win_amd64.whl Python 3 none Windows x86-64 Details

Total release size: 5.2 MB

Release files / fastplotpy-0.3.0a1.tar.gz

Download URL fastplotpy-0.3.0a1.tar.gz
Size 2.7 MB
Tags Source
SHA-256 checksum
How to use checksums
3d52e390ddf9f0bbe69c756e2aac6a5312cb4032c3c2daae1fc15a7ce9ba6087
BLAKE2b-256 checksum
How to use checksums
b9dd16a21daa6a760851aad7ba5fbc71e5302eadb5ca1c058acd21e500937268
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.12.1

Release files / fastplotpy-0.3.0a1-py3-none-win_amd64.whl

Download URL fastplotpy-0.3.0a1-py3-none-win_amd64.whl
Size 2.5 MB
Tags Python 3 Windows x86-64
SHA-256 checksum
How to use checksums
9c70b6292f40aa1080f94c183d843d37b8b8203d22c0a7c4c5bbe16298bbd02d
BLAKE2b-256 checksum
How to use checksums
e28e00939b92f6124da906964f452291c1d85982376c25648e7a50a548e34dcf
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.12.1

Security for fastplotpy 0.3.0a1

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

No provenance found

None of the files in this release were uploaded with provenance metadata.

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

Release history Release notifications | RSS feed

This release
Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page