CSV Editor

# Alternative Publishing Strategy for CSV Editor Since the name `csv-editor` conflicts with existing PyPI packages, we'll use alternative distribution methods while keeping our preferred name. ## 🎯 Publishing Strategy ### 1. **GitHub Releases** (Primary Distribution) - **Direct downloads** of wheel and source files - **Easy installation** via pip from GitHub - **No naming conflicts** **Installation**: ```bash # Install directly from GitHub pip install git+https://github.com/santoshray02/csv-editor.git # Or using uv uv pip install git+https://github.com/santoshray02/csv-editor.git # Install specific version pip install git+https://github.com/santoshray02/csv-editor.git@v1.0.1 ``` ### 2. **GitHub Packages** (Python Package Registry) - **GitHub's package registry** - **Integrated with repository** - **Professional distribution** **Setup**: ```bash # Configure pip for GitHub Packages pip config set global.extra-index-url https://pypi.pkg.github.com/santoshray02/ ``` ### 3. **Conda-Forge** (Future) - **Popular in data science community** - **Better for scientific Python packages** - **No naming conflicts typically** ### 4. **Alternative Package Indices** - **fury.io** - Private package hosting - **gemfury.com** - Package hosting service - **devpi** - Self-hosted PyPI server ## 🚀 Current Publishing Workflow ### Manual Publishing ```bash # Build package uv build # Publish to GitHub Releases (manual) # 1. Go to https://github.com/santoshray02/csv-editor/releases # 2. Create new release with tag v1.0.1 # 3. Upload dist/*.whl and dist/*.tar.gz files # Or use GitHub CLI gh release create v1.0.1 dist/*.whl dist/*.tar.gz --title "CSV Editor v1.0.1" --notes-file CHANGELOG.md ``` ### Automated Publishing - **GitHub Actions** automatically publishes on release - **Creates release assets** with wheel and source files - **No manual intervention needed** ## 📦 Installation Methods for Users ### Method 1: Direct from GitHub (Recommended) ```bash pip install git+https://github.com/santoshray02/csv-editor.git ``` ### Method 2: Download and Install ```bash # Download from releases page wget https://github.com/santoshray02/csv-editor/releases/download/v1.0.1/csv_editor-1.0.1-py3-none-any.whl pip install csv_editor-1.0.1-py3-none-any.whl ``` ### Method 3: Clone and Install ```bash git clone https://github.com/santoshray02/csv-editor.git cd csv-editor pip install -e . ``` ## 🌟 Promotion Strategy ### 1. **GitHub Community** - **GitHub Topics**: Add relevant tags to repository - **Awesome Lists**: Submit to awesome-python, awesome-mcp lists - **GitHub Trending**: Optimize for discovery ### 2. **Documentation Sites** - **Read the Docs**: Host comprehensive documentation - **GitHub Pages**: Create project website - **MCP Documentation**: Get listed in official MCP tools ### 3. **Community Platforms** - **Reddit**: r/Python, r/MachineLearning, r/datascience - **Discord/Slack**: MCP community, Python communities - **Stack Overflow**: Answer questions, mention tool when relevant ### 4. **Blog Posts and Articles** - **Dev.to**: Technical tutorials - **Medium**: Deep-dive articles - **Personal blog**: Case studies and examples ## 📈 Advantages of This Approach ### ✅ **Benefits** - **Keep preferred name** (`csv-editor`) - **No naming conflicts** - **Direct GitHub integration** - **Professional appearance** - **Easy version management** - **Automatic CI/CD** ### ✅ **User Benefits** - **Simple installation** from GitHub - **Always latest version** available - **Clear release notes** - **Direct access to source** - **Issue tracking integration** ## 🔄 Future Migration to PyPI If we want to publish to PyPI later: ### Option 1: **Request Name Release** - Contact current `csv-editor` package owner - Request name transfer if package is abandoned ### Option 2: **Alternative Names** - `csv-mcp-editor` - `mcp-csv-editor` - `csv-editor-mcp` - `fastmcp-csv` ### Option 3: **Namespace Package** - `santoshray02-csv-editor` - Use personal/org namespace ## 📊 Success Metrics ### Short-term (1-3 months): - [ ] 100+ GitHub stars - [ ] 50+ direct installations - [ ] 10+ community issues/discussions - [ ] Featured in MCP documentation ### Medium-term (3-6 months): - [ ] 500+ GitHub stars - [ ] 200+ installations - [ ] 5+ contributors - [ ] Conda-forge package - [ ] Read the Docs site ### Long-term (6+ months): - [ ] 1000+ GitHub stars - [ ] 1000+ installations - [ ] Active community - [ ] PyPI package (if name becomes available) - [ ] Conference presentations ## 🎉 Getting Started 1. **Push current changes** to GitHub 2. **Create first release** (v1.0.1) 3. **Update README** with installation instructions 4. **Announce on social media** 5. **Submit to awesome lists** 6. **Engage with MCP community** This approach gives you full control over your package name and distribution while building a strong community around your project!