napari-svg
A plugin for writing svg files with napari
Decision gist · record as of 2026-08-14
Yes, if you use napari and need SVG export. The plugin has low install friction, is actively maintained, carries no security issues, and integrates directly into napari's export workflow. It is worth installing for any napari user who regularly needs vector output or publication-ready graphics from their visualizations.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires napari to be installed separately; napari-svg functions as a plugin within the napari ecosystem.
- Low install friction with a pure Python wheel and only three runtime dependencies (imageio, numpy, vispy).
- The package is actively maintained with a recent commit on 2026-07-01 and receives regular updates.
License · maintenance · safety
BSD-3 (permissive) — Distributed under the permissive BSD-3 license, allowing free use, modification, and distribution with minimal restrictions.
last release 2025-01-14 (577 days) · last repo commit 2026-07-01 · 5 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 190,471 downloads/mo, #9,910 on PyPI
Alternatives
Verify before relying
pip install napari-svg
import napari
from napari_svg import svg_writer
# napari-svg integrates as a plugin; use napari's File > Export as SVG menu or call the writer directly- What specific napari layer types (image, shapes, points, etc.) are supported for SVG export
- Whether the plugin preserves layer properties like opacity, blending modes, or color maps in the SVG output
- Performance characteristics when exporting large or complex multi-layer visualizations
What it is and what it does
Napari-svg is a napari plugin that adds SVG export capability to the napari image viewer. It allows users to save their visualizations—including image data and annotations—as scalable vector graphics files, which is useful for publication-quality output, further editing in vector graphics software, or integration into documents.
The plugin depends on imageio, numpy, and vispy (napari's visualization backend) and is designed to integrate seamlessly into napari's file export workflow. It is actively maintained, supports Python 3.9 through 3.12, and carries no known security vulnerabilities.
Use it for
- Export annotated microscopy images from napari as vector graphics for publication in scientific papers
- Save napari visualizations with overlaid shapes or points as SVG for further editing in design software
- Generate scalable diagrams from napari's layer-based visualizations without rasterization artifacts
- Preserve annotation data in a portable, editable format when sharing napari analysis results
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you use napari and need SVG export.
The plugin has low install friction, is actively maintained, carries no security issues, and integrates directly into napari's export workflow. It is worth installing for any napari user who regularly needs vector output or publication-ready graphics from their visualizations.
Install
napari-svg on PyPI
Before you install
Low install friction with a pure Python wheel and only three runtime dependencies (imageio, numpy, vispy). The package is actively maintained with a recent commit on 2026-07-01 and receives regular updates.
Requires napari to be installed separately; napari-svg functions as a plugin within the napari ecosystem.
License in practice
Distributed under the permissive BSD-3 license, allowing free use, modification, and distribution with minimal restrictions.
Quickstart
pip install napari-svg
import napari
from napari_svg import svg_writer
# napari-svg integrates as a plugin; use napari's File > Export as SVG menu or call the writer directlyVerify before relying
- What specific napari layer types (image, shapes, points, etc.) are supported for SVG export
- Whether the plugin preserves layer properties like opacity, blending modes, or color maps in the SVG output
- Performance characteristics when exporting large or complex multi-layer visualizations
Package facts
| License | BSD-3 permissive |
| Python support | Supports the current Python release >=3.9 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 3 packagesimageionumpyvispy |
| Maintenance | Actively maintained 577 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 190,471 / month, #9,910 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 4 - BetaFramework :: napariIntended Audience :: DevelopersLicense :: OSI Approved :: BSD LicenseOperating System :: OS IndependentProgramming Language :: PythonProgramming Language :: Python :: 3Programming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.9Topic :: Software Development :: Testing |
Evidence: napari_svg-0.2.1-py3-none-any.whl
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See also napari-console · napari · napari-plugin-manager · npe2 · scour · napari-plugin-engine · svgutils · CairoSVG · vtracer · pycat-napari