HomeBrewLibra

Modular utilities for market data processing and analysis.

Installation

pip install homebrewlibra

pip install "homebrewlibra[io]"

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

pip install "homebrewlibra[pipeline]"

pip install "homebrewlibra[exchange]"

pip install "homebrewlibra[plot]"

pip install "homebrewlibra[all]"

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

The full documentation lives in wiki/ and is published at https://alex-glebov.github.io/HomeBrewLibra/ (built with MkDocs on every push to develop via the docs workflow).

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).

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.

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.

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

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

Source distribution for homebrewlibra 0.2.24
File	Size	Uploaded
homebrewlibra-0.2.24.tar.gz	100.6 kB	Oct 16, 2026	Details

Table of built distributions (wheels) for homebrewlibra 0.2.24
File	Interpreter	ABI	Platform	Reset
homebrewlibra-0.2.24-py3-none-any.whl 118.6 kB Oct 16, 2026	Python 3	none	any	Details

Total release size: 219.1 kB

Download URL	homebrewlibra-0.2.24.tar.gz
Size	100.6 kB
Tags	Source
SHA-256 checksum How to use checksums	`395385b4eab357e16556e19416fc1aa68a02b69e22b746012e2c43b00cc81cb4`
BLAKE2b-256 checksum How to use checksums	`61e5dcbc9b33aaab0af6c740d163a9114f448983f3324fb1f07549b14bf7e8cc`
Upload date	Oct 16, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/7.0.0 CPython/3.12.3`

Download URL	homebrewlibra-0.2.24-py3-none-any.whl
Size	118.6 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`ae5260198e34643e939abc25212f921f1fc74444efe8270afae02c284c64fd30`
BLAKE2b-256 checksum How to use checksums	`5a3e0f64e63052f287db4945c9b7a1b3a8203ec2ab51c7eef5ed2658dda12cd8`
Upload date	Oct 16, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/7.0.0 CPython/3.12.3`