homebrewlibra 0.2.4

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

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 pipeline orchestration (I/O + atoms + templates)

pip install "homebrewlibra[pipeline]"

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
pipeline	[pipeline]	[io]	Template-based I/O, atomic chain helpers
helper_exchange	[exchange]	ccxt, requests	Exchange API connectivity
helper_plot	[plot]	matplotlib	Plotting tools
gantt_chart	[chart]	matplotlib	Gantt chart generation

Changes in 0.2.2

• Added: pipeline subpackage — template-based file I/O dispatcher, atomic chain helpers (rename_columns, select_columns, join_ddf, fillna_rules), and template variable resolution with mask-based parsing.
• Added: [pipeline] extra that pulls in [io].
• Build: Switched from poetry-core to setuptools.

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.