ppf-datamatrix
Python port of https://github.com/datalog/datamatrix-svg
Decision gist · record as of 2026-08-14
Yes, if you need to generate datamatrix codes in SVG format and don't require active maintenance. The low install friction, permissive MIT license, and lack of dependencies make it straightforward to adopt. The aging maintenance status means you should verify that the output meets your datamatrix reader compatibility requirements before committing to production use.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Low install friction with no runtime dependencies.
- Maintenance is aging—last release was 2023-08-23 and repository shows no recent activity, though it remains unarchived.
License · maintenance · safety
MIT (permissive) — MIT license permits free use, modification, and distribution with minimal restrictions, suitable for both open and proprietary projects.
last release 2023-08-23 (1087 days) · last repo commit 2026-02-08 · 59 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 100,267 downloads/mo, #12,996 on PyPI
Alternatives
Verify before relying
from ppf.datamatrix import DataMatrix
myDataMatrix = DataMatrix('Test!')- Whether the SVG output is compatible with modern datamatrix readers and standards
- Performance characteristics when generating large batches of codes
- Whether IPython integration works with current Jupyter versions
What it is and what it does
ppf.datamatrix is a pure-Python library that generates 2D datamatrix barcodes and outputs them as SVG graphics. It was ported from a JavaScript implementation and provides a simple API: instantiate a DataMatrix object with a string, and get back an SVG representation. The library integrates with IPython, so in Jupyter notebooks or IPython terminals with graphics support, you can display the barcode directly as an image.
The package has no external runtime dependencies, making installation straightforward. It supports Python 3.6 and later and is classified as Beta-stage software. The codebase is stable but aging—the last release was in August 2023, and there have been no recent commits, though the repository remains active and unarchived.
Use it for
- Generate datamatrix barcodes for product labeling or inventory tracking in manufacturing workflows
- Create SVG barcodes for embedding in web applications or PDF documents
- Visualize datamatrix codes interactively in Jupyter notebooks for testing or demonstration
- Batch-encode data into barcode graphics for supply chain or logistics systems
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you need to generate datamatrix codes in SVG format and don't require active maintenance.
The low install friction, permissive MIT license, and lack of dependencies make it straightforward to adopt. The aging maintenance status means you should verify that the output meets your datamatrix reader compatibility requirements before committing to production use.
Install
ppf-datamatrix on PyPI
Before you install
Low install friction with no runtime dependencies. Maintenance is aging—last release was 2023-08-23 and repository shows no recent activity, though it remains unarchived.
License in practice
MIT license permits free use, modification, and distribution with minimal restrictions, suitable for both open and proprietary projects.
Quickstart
from ppf.datamatrix import DataMatrix
myDataMatrix = DataMatrix('Test!')Verify before relying
- Whether the SVG output is compatible with modern datamatrix readers and standards
- Performance characteristics when generating large batches of codes
- Whether IPython integration works with current Jupyter versions
Package facts
| License | MIT permissive |
| Python support | Supports the current Python release >=3.6 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | None |
| Maintenance | Aging 1,087 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 100,267 / month, #12,996 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 :: IPythonIntended Audience :: DevelopersIntended Audience :: Information TechnologyIntended Audience :: ManufacturingIntended Audience :: Other AudienceLicense :: OSI Approved :: MIT LicenseOperating System :: OS IndependentProgramming Language :: Python :: 3Topic :: Utilities |
Evidence: ppf_datamatrix-0.2-py3-none-any.whl
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