big
The big package is a grab-bag of cool code for use in your programs.
What it is and what it does
big is a utility package that consolidates small helper functions and classes that are too small to warrant their own packages. It covers text manipulation (multisplit, string functions), logging (a feature-rich Log class), time utilities (timestamp formatting), file operations (atomic writes), data structures (linked lists, heap operations), and other common tasks. The package is organized into submodules by problem domain, so you can import just what you need or use big.all to access everything at once.
The motivation is practical: rather than repeatedly copying-and-pasting small utility functions between projects, you install one package and have access to tested, thoughtfully-designed APIs. The package is pure Python with no compiled dependencies, supports Python 3.6 through 3.15, and carries no external runtime dependencies.
Use it for:
- Import text utilities like multisplit and string functions to avoid writing custom parsing logic.
- Use the Log class for feature-rich, tested logging without configuring the standard library.
- Access timestamp formatting functions (timestamp_human, timestamp_3339Z) for consistent time handling.
- Use atomic file writes and file utilities to safely handle file I/O operations.
- Leverage data structures like linked_list and heap operations for specialized algorithms.
- Import the state manager and bound inner classes for advanced object-oriented patterns.
Worth the install?
AI-flagged interpretation of the facts on this page — verify before relying
A collection of small utility functions and classes for common Python tasks—text processing, logging, time handling, file operations, and data structures—designed to eliminate repeated copy-pasting of helper code across projects.
Yes. The package has zero runtime dependencies, low install friction, active maintenance, no known vulnerabilities, and a permissive MIT license. It's useful as a grab-bag of tested utilities to avoid reinventing common helper functions. Install it if you want convenient access to small, well-designed utility functions across multiple problem domains.
Install
big on PyPI
pip
pip install biguv
uv add bigpoetry
poetry add bigInstalling big
Before you install
Low friction: pure Python with no runtime dependencies and a wheel distribution. Actively maintained with a recent release (29 days old) and no known vulnerabilities.
License in practice
MIT license permits free use and redistribution in your own programs as long as the original copyright notice is retained.
Quickstart
pip install big
import big.all as big
result = big.multisplit("a,b;c", separators=[",", ";"])
Requires Python 3.6 or newer.
Verify before relying
- Whether the 100% test coverage claim is independently verifiable or audited.
- Performance characteristics of the Log class relative to standard library logging.
- Stability guarantees or semantic versioning policy for the 0.14 release.
Package facts
| License | not declared (permissive) |
| Python support | supports the current Python release (>=3.6) |
| Install friction | low — pure-Python wheel |
| Runtime dependencies | none |
| Maintenance | actively maintained — 29 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 88,994/month — #13,689 on PyPI (30-day window, as of 2026-08-14) |
| Known vulnerabilities | none known (OSV.dev, checked 2026-08-14) |
Evidence: big-0.14-py3-none-any.whl
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