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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 (data + I/O; the market subpackage ships with core)

pip install "homebrewlibra[data,io]"

For pipeline orchestration (I/O + atoms + templates)

pip install "homebrewlibra[pipeline]"

For exchange connectivity

pip install "homebrewlibra[exchange]"

Everything

pip install "homebrewlibra[full]"

Subpackages

Subpackage Extras Dependencies Description
core (none) pandas, numpy Shared utilities: timestamp parsing, field mapping
helper_market (none) 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
exchange [exchange] ccxt, requests Exchange API connectivity

Documentation

The full documentation lives in wiki/ — read it in-repo, or serve it locally with pip install mkdocs && mkdocs serve. A hosted MkDocs/GitHub Pages site is deferred (private repo on the GitHub Free plan — Pages publishes from public repositories only); the docs workflow is manual-only meanwhile.

Page Contents
Home Overview, package structure, design philosophy
Installation Optional extras per subpackage
Pipeline Template-based I/O, atoms, TemplateVar / TemplateResolver
Runner The PipelineRunner manual — commands, chains, loops, batch mode, the v0.2.24 staging API
Samples A minimal runnable pipeline (loop + staging + absorb)
Changelog Version history
Contributing Build, test, publish

To build the site locally: pip install mkdocs then mkdocs serve (or mkdocs build --strict).

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.

Metadata

Release files for homebrewlibra 0.2.25

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for homebrewlibra 0.2.25
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homebrewlibra-0.2.25.tar.gz 97.9 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for homebrewlibra 0.2.25
File Interpreter ABI Platform
homebrewlibra-0.2.25-py3-none-any.whl Python 3 none any Details

Total release size: 213.0 kB

Release files / homebrewlibra-0.2.25.tar.gz

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