OSS

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title

OSS Training Course

author

Lukasz Sokolowski

OSS

OSS Training Materials

Copyright Notice

Copyright © 2004-2026 by NobleProg Limited All rights reserved.

This publication is protected by copyright, and permission must be obtained from the publisher prior to any prohibited reproduction, storage in a retrieval system, or transmission in any form or by any means, electronic, mechanical, photocopying, recording, or likewise.

Introduction/Outline

• Code management, versioning, and licensing
• Automation and code quality (best practices)
• Continuous Integration (CI) on GitHub/GitLab
• Automated testing (unit, integration, end-to-end)
• Changelog (Keep a Changelog, Conventional Commits)
• Issue management and roadmap
• Best practices in issue creation (templates, labels, milestones)
• Documentation
  • Effective README: objectives, installation, usage, contributions
  • Contributing Guide (CONTRIBUTING.md)
  • API documentation (Swagger, Sphinx, Docusaurus, etc.)

Modern Software Development Practices (Python & JavaScript)

This training covers best practices for managing, testing, and documenting software projects built with Python and JavaScript.

Code Management, Versioning, and Licensing

• Use Git for source control
• Branching strategy:
  • main – stable production code
  • feature branches – new development
• Use Semantic Versioning (MAJOR.MINOR.PATCH)
• Add a LICENSE file (MIT or Apache 2.0 commonly used)
• Protect main branches with:
  • Pull / Merge Request reviews
  • Mandatory CI checks

Automation and Code Quality (Python & JS)

Python

• Linters: flake8, pylint
• Formatter: black
• Import sorting: isort
• Type checking: mypy

JavaScript

• Linter: ESLint
• Formatter: Prettier
• Type checking: TypeScript (recommended)

Best practices:

• Run linters and formatters automatically
• Keep functions small and readable
• Follow PEP 8 (Python) and standard JS style guides

Continuous Integration (CI)

CI pipelines automatically validate code on each push or pull request.

Example: GitHub Actions

name: CI

on:
  pull_request:
  push:
    branches: [ main ]

jobs:
  build:
    runs-on: ubuntu-latest

    steps:
      - uses: actions/checkout@v4

      - name: Set up Python
        uses: actions/setup-python@v5
        with:
          python-version: "3.11"

      - name: Install Python dependencies
        run: |
          pip install -r requirements.txt

      - name: Lint Python
        run: |
          flake8 .
          black --check .

      - name: Run Python tests
        run: pytest

      - name: Set up Node.js
        uses: actions/setup-node@v4
        with:
          node-version: "20"

      - name: Install JS dependencies
        run: npm ci

      - name: Lint JS
        run: npm run lint

      - name: Run JS tests
        run: npm test

Example: GitLab CI

stages:
  - lint
  - test

python_lint:
  stage: lint
  image: python:3.11
  script:
    - pip install flake8 black
    - flake8 .
    - black --check .

python_test:
  stage: test
  image: python:3.11
  script:
    - pip install -r requirements.txt
    - pytest

js_lint:
  stage: lint
  image: node:20
  script:
    - npm ci
    - npm run lint

js_test:
  stage: test
  image: node:20
  script:
    - npm ci
    - npm test

Benefits:

• Early detection of issues
• Enforced quality standards
• Reliable and repeatable builds

Automated Testing

Python

• Frameworks: pytest, unittest
• Tools:
  • pytest-cov (coverage)
  • requests-mock / responses (API mocking)

JavaScript

• Unit & integration: Jest, Vitest
• End-to-end (E2E): Cypress, Playwright

Best practices:

• Run tests automatically in CI
• Test behavior, not implementation details
• Keep test execution fast

Changelog and Commit Standards

• Maintain CHANGELOG.md
• Follow Keep a Changelog structure:
  • Added
  • Changed
  • Fixed
  • Deprecated

Conventional Commits

• feat: new feature
• fix: bug fix
• docs: documentation
• test: tests
• chore: maintenance

Issue Management and Roadmap

• Use issues to track bugs, features, and technical debt
• Organize work using milestones and boards
• Reference issues in commits and merge requests

Best Practices in Issue Creation

• Use issue templates (bug / feature)
• Apply labels:
  • python
  • javascript
  • bug
  • enhancement
  • documentation
• Always include clear reproduction steps for bugs

Documentation

Effective README

A strong README.md includes:

• Project overview
• Python / Node.js requirements
• Installation steps
• Usage examples
• Testing instructions
• License

Contributing Guide (CONTRIBUTING.md)

Should define:

• Environment setup
• Coding standards
• Commit conventions
• Pull Request workflow

API Documentation

Python

• Sphinx – documentation from docstrings
• FastAPI – automatic OpenAPI / Swagger
• MkDocs – lightweight docs

JavaScript

• Swagger / OpenAPI – REST APIs
• JSDoc – inline documentation
• Docusaurus – documentation portals

Recommended Project Structure

Example structure for a combined Python + JavaScript repository:

project-root/
├── backend/
│   ├── app/
│   │   ├── __init__.py
│   │   ├── main.py
│   │   ├── api/
│   │   └── services/
│   ├── tests/
│   ├── requirements.txt
│   └── pyproject.toml
│
├── frontend/
│   ├── src/
│   │   ├── components/
│   │   ├── pages/
│   │   └── services/
│   ├── tests/
│   ├── package.json
│   └── package-lock.json
│
├── docs/
│   ├── api/
│   └── guides/
│
├── .github/ or .gitlab/
│   └── ci/
│
├── CHANGELOG.md
├── CONTRIBUTING.md
├── README.md
└── LICENSE

Key Takeaways

• CI enforces quality for Python and JavaScript
• Automated testing reduces regressions
• Clear structure improves maintainability
• Documentation is part of the codebase

Open Source Best Practices (Python & JavaScript)

This section extends the project guidelines with patterns commonly used in successful open source projects.

Separate CI Pipelines per Service

In multi-service or monorepo projects, each service should have an independent CI pipeline.

Benefits:

• Faster CI execution
• Clear ownership per service
• Reduced coupling between frontend and backend

GitHub Actions (Per Service)

Each service has its own workflow file.

.github/workflows/
├── backend-ci.yml
└── frontend-ci.yml

Example: Backend CI

name: Backend CI

on:
  push:
    paths:
      - "backend/**"
  pull_request:
    paths:
      - "backend/**"

jobs:
  backend:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
      - uses: actions/setup-python@v5
        with:
          python-version: "3.11"
      - run: pip install -r backend/requirements.txt
      - run: flake8 backend
      - run: pytest backend/tests

Example: Frontend CI

name: Frontend CI

on:
  push:
    paths:
      - "frontend/**"
  pull_request:
    paths:
      - "frontend/**"

jobs:
  frontend:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
      - uses: actions/setup-node@v4
        with:
          node-version: "20"
      - run: cd frontend && npm ci
      - run: cd frontend && npm run lint
      - run: cd frontend && npm test

GitLab CI (Per Service)

backend:
  stage: test
  rules:
    - changes:
        - backend/**/*
  image: python:3.11
  script:
    - pip install -r backend/requirements.txt
    - pytest backend/tests

Monorepo vs Multirepo

Choosing the right repository strategy is critical for scalability.

Aspect	Monorepo	Multirepo
Code location	Single repository	One repository per service
CI complexity	Higher	Lower
Dependency sharing	Easy	Requires versioning
Access control	Unified	Granular
Tooling	Requires advanced CI	Simpler
Open source friendliness	Good for small teams	Best for large ecosystems

Recommendations:

• Monorepo – small teams, tight coupling, shared releases
• Multirepo – independent services, different release cycles, large communities

Issue Templates (Wiki Format)

Clear issue templates improve collaboration and contributor experience.

Bug Report

== Description ==
A clear and concise description of the bug.

== Steps to Reproduce ==
# Step 1
# Step 2
# Step 3

== Expected Behavior ==
What you expected to happen.

== Actual Behavior ==
What actually happened.

== Environment ==
* OS:
* Python / Node.js version:
* Browser (if applicable):

== Additional Context ==
Logs, screenshots, or links.

Feature Request

== Summary ==
Short description of the requested feature.

== Motivation ==
Why is this feature needed?

== Proposed Solution ==
Describe the preferred solution.

== Alternatives ==
Other approaches considered.

== Additional Context ==
Links, mockups, or references.

Documentation Issue

== Documentation Section ==
Which page or file needs improvement?

== Problem ==
What is unclear, missing, or incorrect?

== Suggested Improvement ==
Proposed text or structure.

Open Source Project Best Practices

These practices help attract and retain contributors.

Governance and Transparency

• Define maintainers and roles
• Use public roadmaps
• Make decisions in issues and PRs

Contribution Experience

• Clear README and CONTRIBUTING.md
• Friendly issue templates
• Label beginner issues (e.g. good first issue)

Licensing and Legal

• Always include a LICENSE file
• Ensure dependencies are license-compatible
• Avoid committing secrets or credentials

Community Standards

• Add a Code of Conduct (e.g. Contributor Covenant)
• Enforce respectful communication
• Moderate discussions consistently

Release Management

• Use semantic versioning
• Maintain a changelog
• Tag releases
• Automate releases where possible

Security

• Provide a SECURITY.md
• Define responsible disclosure process
• Keep dependencies up to date

Open Source Checklist

• README.md
• CONTRIBUTING.md
• CHANGELOG.md
• LICENSE
• CODE_OF_CONDUCT.md
• SECURITY.md
• CI pipelines enabled
• Issue and PR templates

Open Source Collaboration and Release Management

This section defines contribution workflows, security policies, community standards, and automated releases.

Pull Request Templates

Pull Request templates help reviewers and contributors align on expectations.

Pull Request Template (General)

## Description
Brief summary of the changes introduced by this PR.

## Related Issue
Closes #<issue-number>

## Type of Change
- [ ] Bug fix
- [ ] New feature
- [ ] Documentation update
- [ ] Refactoring
- [ ] CI / tooling

## How Has This Been Tested?
Describe the tests that you ran.

## Checklist
- [ ] Code follows project style guidelines
- [ ] Tests added or updated
- [ ] Documentation updated (if applicable)
- [ ] CI pipeline passes

Best practices:

• Require PR templates for all contributions
• Enforce reviews via branch protection
• Keep PRs small and focused

Security Policy (SECURITY.md)

Open source projects should clearly define how to report vulnerabilities.

Example SECURITY.md

# Security Policy

## Supported Versions
Only the latest major version is actively supported with security updates.

## Reporting a Vulnerability
If you discover a security vulnerability, please do NOT open a public issue.

Instead, report it by emailing:
security@project-domain.example

Please include:
- A description of the vulnerability
- Steps to reproduce
- Potential impact
- Suggested remediation (if available)

We aim to respond within 72 hours.

Best practices:

• Never discuss vulnerabilities publicly before a fix
• Acknowledge reporters responsibly
• Publish security advisories after resolution

Code of Conduct (CODE_OF_CONDUCT.md)

A Code of Conduct creates a safe and welcoming community.

Example CODE_OF_CONDUCT.md

# Code of Conduct

## Our Pledge
We are committed to providing a respectful and inclusive environment for everyone.

## Expected Behavior
- Be respectful and considerate
- Use welcoming and inclusive language
- Accept constructive criticism
- Focus on what is best for the community

## Unacceptable Behavior
- Harassment or discrimination
- Trolling or personal attacks
- Publishing private information

## Enforcement
Project maintainers are responsible for enforcing this code of conduct.

## Reporting
Report incidents to:
conduct@project-domain.example

Recommendation:

• Use the Contributor Covenant as a base
• Enforce consistently and transparently

Release Automation (semantic-release)

Automated releases reduce human error and ensure consistency.

What semantic-release Does

• Determines next version from commit messages
• Generates changelog entries
• Creates Git tags and releases
• Publishes artifacts automatically

Commit Requirements

semantic-release requires Conventional Commits:

• feat: introduces a new feature (MINOR)
• fix: bug fix (PATCH)
• feat!: or BREAKING CHANGE (MAJOR)

Example semantic-release Configuration

{
  "branches": ["main"],
  "plugins": [
    "@semantic-release/commit-analyzer",
    "@semantic-release/release-notes-generator",
    "@semantic-release/changelog",
    "@semantic-release/github"
  ]
}

GitHub Actions: Automated Release

name: Release

on:
  push:
    branches:
      - main

jobs:
  release:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
      - uses: actions/setup-node@v4
        with:
          node-version: "20"
      - run: npm ci
      - run: npx semantic-release
        env:
          GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}

Python + semantic-release Notes

• semantic-release manages versions and tags
• Python packages should:
  • Read version from git tags
  • Or inject version during build (setuptools_scm)

Open Source Release Best Practices

• Use automated releases
• Never manually edit versions
• Always release from main branch
• Keep CHANGELOG.md generated automatically
• Tag every release

Final Open Source Readiness Checklist

• README.md
• CONTRIBUTING.md
• CHANGELOG.md
• LICENSE
• CODE_OF_CONDUCT.md
• SECURITY.md
• Issue templates
• Pull Request templates
• CI pipelines per service
• Automated releases enabled