homebrewlibra 0.1.0

Modular utilities for market data processing and analysis

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.