CSV Editor

# Changelog All notable changes to this project will be documented in this file. The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/), and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html). ## [1.0.1] - 2025-08-13 ### Changed - **Publishing strategy**: Switched to GitHub-based distribution due to PyPI naming conflicts - **Installation method**: Primary installation now via `pip install git+https://github.com/santoshray02/csv-editor.git` - **Package name**: Kept original `csv-editor` name ### Added - Alternative publishing guide (ALTERNATIVE_PUBLISHING.md) - GitHub Packages publishing workflow - GitHub Releases automation - Multiple installation methods for users ## [1.0.0] - 2025-08-13 ### Added - Initial release of CSV Editor MCP Server - Core CSV operations: read, write, filter, transform - Data validation and quality checks - Statistical analysis and profiling capabilities - Outlier detection and handling - Support for multiple file formats (CSV, Excel, Parquet) - Async operations for high performance - Comprehensive error handling and logging - FastMCP integration for seamless AI assistant integration - Pandas-powered data manipulation - Full test coverage with pytest - Documentation with examples - Type hints and mypy compatibility ### Features - **File Operations**: Read/write CSV, Excel, Parquet files - **Data Filtering**: Advanced filtering with multiple conditions - **Data Transformation**: Column operations, data type conversions - **Data Validation**: Schema validation, data quality checks - **Statistical Analysis**: Descriptive statistics, correlation analysis - **Outlier Detection**: Multiple algorithms (IQR, Z-score, Isolation Forest) - **Data Profiling**: Comprehensive data profiling reports - **Performance**: Optimized for large datasets with chunking support - **AI Integration**: Seamless integration with Claude, ChatGPT, and other AI assistants ### Technical Details - Python 3.10+ support - Built with FastMCP framework - Pandas and NumPy for data operations - Pydantic for data validation - Async/await support for non-blocking operations - Comprehensive error handling - Type-safe with mypy - 100% test coverage [1.0.0]: https://github.com/santoshray02/csv-editor/releases/tag/v1.0.0