spark

Architecture

Spark is designed as a stack-agnostic project foundation for building and scaling open-source projects with clarity.

Goals

Core Principles

  1. Simplicity — minimal moving parts and clear defaults
  2. Composability — components/docs/workflows can evolve independently
  3. Transparency — decisions, roadmap, and changes are visible

Repository Structure

spark/
├── .github/
│   ├── ISSUE_TEMPLATE/
│   ├── workflows/
│   ├── CODEOWNERS
│   └── pull_request_template.md
├── docs/
│   ├── ARCHITECTURE.md
│   ├── API.md
│   ├── FAQ.md
│   ├── I18N.md
│   ├── RELEASE_READINESS.md
│   └── SHOWCASE.md
├── examples/
│   ├── README.md
│   ├── basic-usage/
│   ├── advanced-config/
│   └── integrations/
├── benchmarks/
│   └── benchmark_validation.py
├── spark/
│   ├── core.py
│   ├── plugins.py
│   ├── integrations.py
│   └── i18n.py
├── tests/
│   └── test_*.py
├── CHANGELOG.md
├── CODE_OF_CONDUCT.md
├── CONTRIBUTING.md
├── LICENSE
├── README.md
├── ROADMAP.md
├── SECURITY.md
└── SUPPORT.md

Documentation Layer

Community & Governance Layer

Automation Layer

Data / Contribution Flow

  1. User finds project via README
  2. User explores docs and examples
  3. User opens issue/discussion or contributes via PR
  4. CI validates quality checks
  5. Releases are generated from tags and changelog

Design Decisions

Contributing to Architecture

If you propose structural changes:

  1. Open a discussion first for broad changes
  2. Explain trade-offs in your PR description
  3. Update this file and related docs in the same PR