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README.md

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![Sweet: Interactive Data Engineering CLI](assets/sweet-logo.svg)
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_Fun, interactive data manipulation in your terminal_
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_AI-powered exploration/transformation in your terminal_
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<div align="left">
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- **Interactive terminal interface**: modern TUI with syntax highlighting and real-time feedback
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- **Intuitive navigation**: use keyboard shortcuts or mouse/pointer interactions for smooth control
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- **Flexible data loading**: files, stdin piping, or paste data directly from spreadsheets/web tables
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- **Query database tables**: connect to your database, find a table, run SQL queries
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- **Multiple export formats**: save your transformed data as CSV, TSV, Parquet, JSON, or JSONL
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- **Accessible**: refine smaller datasets with ease or tackle complicated transformations without hassle
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- **Fast operations**: built on Polars for high-performance data processing
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Sweet is built on modern Python libraries for optimal performance and developer experience. We're grateful to the maintainers and contributors of these foundational projects:
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- **[Polars](https://github.com/pola-rs/polars)**: The blazingly fast DataFrame library that powers all data operations in Sweet
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- **[DuckDB](https://github.com/duckdb/duckdb)**: The high-performance database that enables fast SQL queries on large datasets
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- **[Textual](https://github.com/Textualize/textual)**: The incredible TUI framework that makes Sweet's interactive interface possible
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- **[chatlas](https://posit-dev.github.io/chatlas/)**: The elegant library that enables Sweet's AI assistant capabilities with LLM provider integration
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- **[Rich](https://github.com/Textualize/rich)**: Terminal formatting and beautiful display components
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We're actively working on enhancing Sweet with:
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1. **Transformation history tracking**: Export transformation history as clean Python/Polars scripts for reproducible workflows
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2. Additional data format support (Excel, JSON, Arrow, etc.)
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1. Transformation history tracking: export transformation history as clean Polars/SQL code for your reproducible workflows
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2. Additional data format support (Excel, Arrow, etc.)
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3. Advanced transformation templates and snippets
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4. Integration with cloud data sources
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5. Export to multiple formats and destinations
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6. Enhanced branching and workflow management
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7. **Enhanced AI capabilities**: Expanding the AI assistant with more sophisticated analysis and visualization suggestions
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4. Branching and workflow management
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5. Enhanced AI capabilities: expanding the Sweet AI assistant with more sophisticated analysis and visualization suggestions
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If you have any ideas for features or improvements, don't hesitate to share them with us! We are always looking for ways to make Sweet better.
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