bx-py-utils
Various Python utility functions
Decision gist · record as of 2026-08-14
Yes. No runtime dependencies, active maintenance, permissive MIT license, and a broad collection of genuinely useful utilities make this a low-risk addition to most Python projects. Install if you need any of its utilities and want to avoid writing them yourself; skip only if you prefer to keep dependencies minimal or have already implemented equivalent helpers.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.11 or later.
- Low install friction with no runtime dependencies.
- Active maintenance—last release 3 days ago, repository updated 2026-08-12, supporting Python 3.10 through 3.13.
License · maintenance · safety
MIT (permissive) — MIT license permits free use, modification, and distribution with minimal restrictions, making it suitable for both open-source and commercial projects.
last release 2026-08-11 (3 days) · last repo commit 2026-08-12 · 7 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 121,371 downloads/mo, #11,982 on PyPI
Alternatives
Verify before relying
pip install bx_py_utils
from bx_py_utils.anonymize import anonymize
from bx_py_utils.dict_utils import dict_get
result = anonymize('user@example.com')
value = dict_get({'a': {'b': 'c'}}, 'a.b')- Whether all listed utility modules (aws, graphql_introspection, doc_write) are fully functional or still experimental.
- Performance characteristics for large-scale operations (e.g., hashing very large files, processing large dictionaries).
- Test coverage and stability guarantees for individual utility functions.
What it is and what it does
bx_py_utils is a grab-bag of utility functions for common Python development tasks, organized into modules for anonymization, dictionary manipulation, file operations, hashing, HTML parsing, AWS integration, and documentation generation. It has no runtime dependencies and is designed to be dropped into projects that need a few helper functions without adding significant overhead.
The package covers practical needs: anonymizing strings and dictionary values, working with nested dicts, generating file hashes, managing temporary files, converting HTML to text, accessing AWS Secrets Manager, and generating documentation from code. It's maintained actively and supports modern Python versions (3.10–3.13), making it a low-friction option for teams that want a lightweight utility layer without committing to a larger framework.
Use it for
- Anonymize personally identifiable information in logs or exports before sharing data.
- Extract nested values from dictionaries using dot-notation paths without manual key traversal.
- Generate and verify file hashes while processing uploads or managing file integrity.
- Convert HTML content to plain text for email bodies or text-only output.
- Retrieve secrets from AWS Secrets Manager with a simple wrapper interface.
- Generate or validate README documentation automatically from code docstrings.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
No runtime dependencies, active maintenance, permissive MIT license, and a broad collection of genuinely useful utilities make this a low-risk addition to most Python projects. Install if you need any of its utilities and want to avoid writing them yourself; skip only if you prefer to keep dependencies minimal or have already implemented equivalent helpers.
Install
bx-py-utils on PyPI
Before you install
Low install friction with no runtime dependencies. Active maintenance—last release 3 days ago, repository updated 2026-08-12, supporting Python 3.10 through 3.13.
Requires Python 3.11 or later.
License in practice
MIT license permits free use, modification, and distribution with minimal restrictions, making it suitable for both open-source and commercial projects.
Quickstart
pip install bx_py_utils
from bx_py_utils.anonymize import anonymize
from bx_py_utils.dict_utils import dict_get
result = anonymize('user@example.com')
value = dict_get({'a': {'b': 'c'}}, 'a.b')Verify before relying
- Whether all listed utility modules (aws, graphql_introspection, doc_write) are fully functional or still experimental.
- Performance characteristics for large-scale operations (e.g., hashing very large files, processing large dictionaries).
- Test coverage and stability guarantees for individual utility functions.
Package facts
| License | MIT permissive |
| Python support | Supports the current Python release >=3.11 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | None |
| Maintenance | Actively maintained 3 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 121,371 / month, #11,982 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 5 - Production/StableIntended Audience :: DevelopersProgramming Language :: Python :: 3 :: OnlyProgramming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Topic :: Software Development :: Libraries :: Python Modules |
Evidence: bx_py_utils-121-py3-none-any.whl
Tags
Let your AI agent find packages like this
Example. Real query, live index.
You found this page by searching. An agent finds it by wishing: SkillFed indexes 14,416 PyPI packages by what they can do, searchable in plain language.
wish › “file hashing and temp files”
- bx-py-utilsA collection of utility functions covering anonymization, dictionary…
- pytest-datafilesA pytest plugin that copies specified files and directories into a…
- temp-mailsProvides a unified Python API to generate temporary email addresses…
Give your agent the search over MCP, or paste the wish link into any chat.
More Python Modules packages
Converts domain names between Unicode and ASCII-compatible encoding (Punycode) according to IDNA 2008 and Unicode Technical Standard 46, with security validation and broader script coverage than the standard library.
Install it if you work with internationalized domain names, need to validate domains, or use HTTP clients that depend on it transitively.
Setuptools is a Python build backend and package management tool that handles building, distributing, and installing Python packages, including support for C/C++ extension modules.
PyYAML parses and emits YAML 1.1 data format, enabling serialization and deserialization of configuration files and Python objects to and from human-readable YAML text.
Pydantic validates Python data structures against type hints, coercing and checking input at runtime to ensure it matches a declared schema.
Provides reusable metadata objects for use with PEP-593 `typing.Annotated` to express common constraints like bounds, collection sizes, and predicates on types.
Install it if you use or build libraries that need to express type constraints in a standardized, inspectable way—or if you want to annotate your own types with…
Provides runtime tools to inspect and introspect Python type annotations, enabling programmatic examination of type hints at execution time.
See also bpyutils · nr-util · commoncode · shutils · wimpy · reqif · arm-pytorch-utilities · torch-einops-utils · hdx-python-utilities