brando. - Systematic Brand Creation & Research Framework

Systematic brand creation, phonetic euphony scoring, visual geometry analysis, and trademark vetting framework.

PyPI Version CI Status Documentation License Python Versions

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

  1. Visual Geometry & Bouma Silhouette (brando.modules.visual): Calculates uppercase/lowercase ascender/descender visual balance.

  2. Sound Symbolism & Euphony Scorer (brando.modules.phonetic): Analyzes IPA phonemes, plosive-fricative balance, and acoustic resonance.

  3. Esoteric Numerology & Nakshatra Padas (brando.modules.esoteric): Computes Pythagorean, Chaldean, and 108 Nakshatra astrological alignments.

  4. Trademark & WIPO Vetting Engine (brando.modules.trademark): Generates 45 Nice Class search URLs and USPTO clash links.

  5. 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.

Project links

Data verified by PyPI on Aug 10, 2026
Data provided by the project maintainers, verified at the time the release was uploaded to PyPI.

Key dates

PyPI data
Data sourced directly from PyPI's database.
  • Released:
Latest release

1 maintainer

PyPI data
Data sourced directly from PyPI's database.
Avatar for mrxsierra from gravatar.com mrxsierra

Credits

Author: Sunil Sharma (mrxsierra)

GitHub Statistics

Data verified by PyPI on Aug 10, 2026
The GitHub source repository was provided by the project maintainers and verified by PyPI at the time of upload. Stars, forks, and open issues/PRs are derived from that repository and have not been independently verified.

License

MIT License (Fair-Source-1.0-FAL)

Requires

Python >=3.10

Provides Extra

dev

Tags

branding cli domain-research naming nlp numerology phonetics rapidfuzz sdk trademarks

Classifiers

Report project as malware

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

brando-0.3.0.tar.gz (243.9 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

brando-0.3.0-py3-none-any.whl (37.0 kB view details)

Uploaded Python 3

File details

Details for the file brando-0.3.0.tar.gz.

File metadata

  • Download URL: brando-0.3.0.tar.gz
  • Upload date:
  • Size: 243.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/7.0.0 CPython/3.13.14

File hashes

Hashes for brando-0.3.0.tar.gz
Algorithm Hash digest
SHA256 d878b1524949255ded15dde8cc259db8f8d4b859826385f5a1dd19f8326fd080
MD5 497b4b9cb09fbb0813edd213daa06668
BLAKE2b-256 5932f9fc17b6ff452c9d3c3b9e497ad66773a45ddcc1cd4dc9f6296ebee6871c

See more details on using hashes here.

Provenance

The following attestation bundles were made for brando-0.3.0.tar.gz:

Publisher: publish.yml on mrxsierra/brando

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file brando-0.3.0-py3-none-any.whl.

File metadata

  • Download URL: brando-0.3.0-py3-none-any.whl
  • Upload date:
  • Size: 37.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/7.0.0 CPython/3.13.14

File hashes

Hashes for brando-0.3.0-py3-none-any.whl
Algorithm Hash digest
SHA256 3a7f4bc79db648cd75504748e94242985f4b978ba1eeb8162fdf6eaac337a37a
MD5 4820e1868ce34d58de6f230ba6bde5b9
BLAKE2b-256 82701ce782b3b2d474ad158fcd52adaab23ad9919ea9a21f8fcb3d4710a2a1c1

See more details on using hashes here.

Provenance

The following attestation bundles were made for brando-0.3.0-py3-none-any.whl:

Publisher: publish.yml on mrxsierra/brando

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page