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big

The big package is a grab-bag of cool code for use in your programs.

Worth itPyPI Software DevelopmentReleased Jul 202689.0K downloads / mopermissive licensePure Python

Decision gist · record as of 2026-08-14

pure-Python wheel — big-0.14-py3-none-any.whl
v0.14 · released 2026-07-16 · Python >=3.6

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.AI-flagged interpretation of the facts on this page — verify before relying

Before you install

  • Requires Python 3.6 or newer.
  • 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 · maintenance · safety

permissive license (permissive) — MIT license permits free use and redistribution in your own programs as long as the original copyright notice is retained.

last release 2026-07-16 (29 days) · last repo commit 2026-07-30 · 50 stars

0 known vulnerabilities (OSV.dev, 2026-08-14) · 88,994 downloads/mo, #13,689 on PyPI

Verify before relying

pip install big

import big.all as big
result = big.multisplit("a,b;c", separators=[",", ";"])
  • 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.
Same gist for agents: .md · .json

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 on it.

Worth it

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

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.

Requires Python 3.6 or newer.

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=[",", ";"])

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

Licensepermissive license permissive
Python supportSupports the current Python release >=3.6
Install frictionLow. Pure-Python wheel
Runtime dependenciesNone
MaintenanceActively maintained 29 days since the last release
Last repo commit
First released
Downloads88,994 / month, #13,689 on PyPI 30-day window, as of 2026-08-14
Known vulnerabilitiesNone known OSV.dev, checked 2026-08-14
Classifiers
Intended Audience :: DevelopersLicense :: OSI Approved :: MIT LicenseProgramming Language :: Python :: 3Programming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14Programming Language :: Python :: 3.15Programming Language :: Python :: 3.6Programming Language :: Python :: 3.7Programming Language :: Python :: 3.8Programming Language :: Python :: 3.9

Evidence: big-0.14-py3-none-any.whl

Tags

Capabilities
utility functions libraryhelper functions grab bagtext processing utilitieslogging and time helperscommon python utilities
Topics
utilitieshelpersgrab-bag

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See also kitchen · wimpy · jaraco.text · python-utils · bdbag · toolz · jaraco.itertools · shutils · asyncstdlib