Teddy

Teddy is a data manipulation and analysis library for Zig, designed to provide efficient and type-safe operations on structured data.

Features

• Type-safe Series: Strongly typed series with generics supporting various data types
• DataFrame Structure: Combine multiple series into a tabular data structure
• CSV Parsing: Built-in support for parsing CSV data
• Memory Safety: Full control over memory allocation and deallocation
• Performance: Designed for high performance data operations
• Data Transformation: Apply functions to manipulate data in-place

Status

This project is in early development. The API is not yet stable and is subject to change.

Building

Teddy uses the standard Zig build system. To build the project:

zig build

To run tests:

zig build test

To run the example application:

zig build run --release=fast

Project Structure

• src/dataframe/: Core dataframe implementation
  • dataframe.zig: Main dataframe structure
  • series.zig: Generic series implementation
  • variant_series.zig: Type-safe variant wrapper for series
  • csv.zig: CSV parsing utilities
  • reader.zig: File reading and loading utilities

Future Plans

• Complete CSV reader integration
• Add data filtering capabilities
• Implement aggregation functions
• Add sorting and grouping operations
• Support for additional file formats (JSON, Parquet)
• Improve performance with SIMD operations where applicable

License

TBD

Contributing

This project is still in the early development phase. Contribution guidelines will be added once the API is more stable.