brand-yml
Read brand yaml files, a unified way to store brand information.
Decision gist · record as of 2026-08-14
Yes. The package is actively maintained, has no security vulnerabilities, and solves a real problem for teams using Posit tools. Install friction is low, and it integrates cleanly with Quarto and Shiny. Useful if you manage branded outputs across multiple projects or tools; less critical if you only need ad-hoc theming.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.10 or later.
- Low friction install with four runtime dependencies.
- Active maintenance: last commit 2026-08-11, released 2026-05-21.
License · maintenance · safety
permissive license (permissive) — MIT license (permissive). No restrictions on use, modification, or distribution in commercial or private projects.
last release 2026-05-21 (85 days) · last repo commit 2026-08-11 · 108 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 119,105 downloads/mo, #12,089 on PyPI
Alternatives
Verify before relying
pip install brand_yml
from brand_yml import Brand
brand = Brand.from_yaml_str("""
meta:
name: My Company
color:
palette:
primary: "#447099"
primary: primary
""")
print(brand.meta.name)- Whether brand.yml integrates directly with Shiny for Python or requires additional setup.
- Whether the package can serialize modified brand objects back to YAML.
- Performance characteristics when parsing large or complex brand files.
What it is and what it does
brand.yml is a Python package that reads and structures brand guidelines stored in a portable YAML format. It parses metadata, color palettes, typography rules, and other branding elements into typed Python objects, making them accessible programmatically. The package is designed to work alongside Quarto and Shiny for Python to apply consistent branding across reports, dashboards, and web applications.
You define your company's brand once in a `_brand.yml` file—colors, fonts, logos, and other guidelines—and then load it into Python using the `Brand` class. The structured data can then be consumed by downstream tools to automatically theme outputs. It's part of Posit's effort to unify branding across their open-source ecosystem.
Use it for
- Load a company brand file and extract color palettes to apply to plots or dashboards.
- Provide brand metadata (name, logo, link) to Shiny applications for consistent header/footer branding.
- Validate brand YAML files against a schema before using them in production rendering pipelines.
- Share a single `_brand.yml` across Python, R, and Quarto projects for unified visual identity.
- Programmatically access typography rules to style text in generated reports or web outputs.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
The package is actively maintained, has no security vulnerabilities, and solves a real problem for teams using Posit tools. Install friction is low, and it integrates cleanly with Quarto and Shiny. Useful if you manage branded outputs across multiple projects or tools; less critical if you only need ad-hoc theming.
Install
brand-yml on PyPI
Before you install
Low friction install with four runtime dependencies. Active maintenance: last commit 2026-08-11, released 2026-05-21. Supports current Python versions (3.10–3.13). No known vulnerabilities.
Requires Python 3.10 or later.
License in practice
MIT license (permissive). No restrictions on use, modification, or distribution in commercial or private projects.
Quickstart
pip install brand_yml
from brand_yml import Brand
brand = Brand.from_yaml_str("""
meta:
name: My Company
color:
palette:
primary: "#447099"
primary: primary
""")
print(brand.meta.name)Verify before relying
- Whether brand.yml integrates directly with Shiny for Python or requires additional setup.
- Whether the package can serialize modified brand objects back to YAML.
- Performance characteristics when parsing large or complex brand files.
Package facts
| License | permissive license permissive |
| Python support | Supports the current Python release >=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 4 packageseval-type-backporthtmltoolspydanticruamel-yaml |
| Maintenance | Actively maintained 85 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 119,105 / month, #12,089 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 4 - BetaIntended Audience :: DevelopersLicense :: OSI Approved :: MIT LicenseProgramming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13 |
Evidence: brand_yml-0.2.0-py3-none-any.whl
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