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Foundation utilities for data I/O, timestamps, and type coercion

Project description

HomeBrewLibra

Modular utilities for market data processing and analysis.

Installation

Minimal (core only)

pip install homebrewlibra

With I/O helpers (feather, CSV)

pip install "homebrewlibra[io]"

For data preparation (market + data + I/O)

pip install "homebrewlibra[market,data,io]"

For exchange connectivity

pip install "homebrewlibra[exchange]"

With plotting

pip install "homebrewlibra[plot]"

Everything (backward compatible)

pip install "homebrewlibra[all]"

Subpackages

Subpackage Extras Dependencies Description
core (none) pandas, numpy Shared utilities: timestamp parsing, field mapping
helper_market [market] core Trade splitting, grouping, peak detection helpers
helper_data [data] core DataFrame combination, index analysis
helper_feather [io] pyarrow Feather file I/O
helper_csv [io] (none) CSV file I/O
helper_io [io] core Step execution, file caching
helper_exchange [exchange] ccxt, requests Exchange API connectivity
helper_plot [plot] matplotlib Plotting tools
gantt_chart [chart] matplotlib Gantt chart generation

Changes in 0.1.0

  • Removed: helper_model (ML utilities). Use model-core package instead.
  • Added: core subpackage to break circular imports.
  • Added: Optional extras [io], [market], [data], [exchange], [plot], [all].
  • Changed: pyproject.toml now declares minimal core deps; heavy deps moved to extras.

Contributing

Please fork this project on GitHub and send a pull request.

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