Systematic brand creation, phonetic euphony scoring, visual geometry analysis, and trademark vetting framework.
Documentation • Quickstart • Python SDK • Architecture • Changelog • PRD Specification
⚡ Installation
Install via pip or uv:
# Using pip
pip install brando
# Using uv (Recommended for ultra-fast performance)
uv add brando
🚀 Quickstart CLI
Initialize your workspace and generate candidate brands in seconds:
# 1. Initialize custom branding configuration wizard
brando init
# 2. Build candidate brand names using Neoclassical & Blend synthesis
brando build --count 50 --output brand_candidates.csv
# 3. Filter candidates by euphony score and visual balance
brando filter --min-score 75 --max-length 7
# 4. Verify USPTO / WIPO trademark URL links and domain clashes
brando verify --input shortlist.csv
# 5. Check social handle availability concurrently across networks
brando check-socials --name mybrand
🐍 Python SDK Usage
Integrate brando programmatically into your Python applications, LLM agents, or naming pipelines:
import brando
# Initialize execution pipeline
pipeline = brando.Pipeline()
# Synthesize and score brand candidates
candidates = pipeline.generate(
keywords=["cyber", "nexus"], strategies=["neoclassical", "blend"], count=20
)
for brand in candidates:
print(
f"Name: {brand.name:<12} Euphony: {brand.euphony_score:.2f} Visual: {brand.visual_score:.2f}"
)
🔬 Core 5-Module Feature Architecture
-
Visual Geometry & Bouma Silhouette (
brando.modules.visual): Calculates uppercase/lowercase ascender/descender visual balance. -
Sound Symbolism & Euphony Scorer (
brando.modules.phonetic): Analyzes IPA phonemes, plosive-fricative balance, and acoustic resonance. -
Esoteric Numerology & Nakshatra Padas (
brando.modules.esoteric): Computes Pythagorean, Chaldean, and 108 Nakshatra astrological alignments. -
Trademark & WIPO Vetting Engine (
brando.modules.trademark): Generates 45 Nice Class search URLs and USPTO clash links. -
Security & Typosquatting Engine (
brando.modules.security): Executes sub-35ms RapidFuzz SIMD and BK-Tree metric space search against top 1,000 brand registries.
📄 License & Attribution
Dual-licensed under the MIT License (for individual developers, non-commercial research, and open-source contributions) and Fair-Source Terms (for enterprise SaaS platforms). See LICENSE for full details.
Metadata
Release files for brando 0.3.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| brando-0.3.0.tar.gz | 243.9 kB | With provenance | Details for brando-0.3.0.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| brando-0.3.0-py3-none-any.whl | Python 3 | none | any | Details for brando-0.3.0-py3-none-any.whl |
Total release size: 280.9 kB
Release files / brando-0.3.0.tar.gz
| Download URL | brando-0.3.0.tar.gz |
|---|---|
| Size | 243.9 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
d878b1524949255ded15dde8cc259db8f8d4b859826385f5a1dd19f8326fd080
|
|
BLAKE2b-256 checksum How to use checksums |
5932f9fc17b6ff452c9d3c3b9e497ad66773a45ddcc1cd4dc9f6296ebee6871c
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
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.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Aug 10, 2026.
Transparency logRelease files / brando-0.3.0-py3-none-any.whl
| Download URL | brando-0.3.0-py3-none-any.whl |
|---|---|
| Size | 37.0 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
3a7f4bc79db648cd75504748e94242985f4b978ba1eeb8162fdf6eaac337a37a
|
|
BLAKE2b-256 checksum How to use checksums |
82701ce782b3b2d474ad158fcd52adaab23ad9919ea9a21f8fcb3d4710a2a1c1
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
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.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Aug 10, 2026.
Transparency logSecurity for brando 0.3.0
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.
Full provenance
Both files in this release have been uploaded with provenance metadata.
Attestation for brando-0.3.0.tar.gz
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Aug 10, 2026.
Transparency logA 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.
To learn more about protecting yourself from malicious actors, visit our package security documentation.