msgfy
msgfy is a Python library for convert Exception instance to a human-readable error message.
Decision gist · record as of 2026-08-14
Yes, if you need simple, templated exception formatting with no dependencies. The package is stable, permissively licensed, and has low install friction. However, maintenance is dormant—no updates since 2023-09-17—so it is best suited for projects that do not require ongoing support or new features.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.7 or later.
- Low friction install with no runtime dependencies.
- Maintenance is dormant—last release was 2023-09-17 with no commits since—but the package is stable.
License · maintenance · safety
MIT License (permissive) — MIT License permits unrestricted use, modification, and distribution with only attribution required.
last release 2023-09-17 (1062 days) · last repo commit 2023-09-17 · 4 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 549,145 downloads/mo, #6,057 on PyPI
Alternatives
Verify before relying
pip install msgfy
import msgfy
try:
raise ValueError("example message")
except ValueError as e:
print(msgfy.to_error_message(e))
print(msgfy.to_error_message(e, "{exception} {func_name}: {error_msg}"))- Whether custom format keywords beyond the documented five are supported.
- Performance characteristics when formatting large exception chains or deeply nested tracebacks.
What it is and what it does
msgfy is a lightweight utility that transforms Python Exception instances into formatted text strings suitable for logging, display, or debugging. It provides two main functions: to_error_message() for standard error output and to_debug_message() for detailed debug context. Both accept optional format templates using keywords like {exception}, {file_name}, {line_no}, {func_name}, and {error_msg} to customize the output layout.
The package has no external dependencies and supports Python 3.7 through 3.11 on CPython and PyPy. It is useful when you need consistent, readable exception formatting across a codebase without building custom exception handlers. The library is stable but dormant—last updated 2023-09-17 with no recent maintenance activity.
Use it for
- Format exceptions for structured logging systems that require consistent message templates.
- Generate user-friendly error messages from exceptions while hiding internal stack details.
- Build debug output that includes file, line, and function context extracted from exception metadata.
- Standardize exception-to-string conversion across a codebase without duplicating formatting logic.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you need simple, templated exception formatting with no dependencies.
The package is stable, permissively licensed, and has low install friction. However, maintenance is dormant—no updates since 2023-09-17—so it is best suited for projects that do not require ongoing support or new features.
Install
msgfy on PyPI
Before you install
Low friction install with no runtime dependencies. Maintenance is dormant—last release was 2023-09-17 with no commits since—but the package is stable.
Requires Python 3.7 or later.
License in practice
MIT License permits unrestricted use, modification, and distribution with only attribution required.
Quickstart
pip install msgfy
import msgfy
try:
raise ValueError("example message")
except ValueError as e:
print(msgfy.to_error_message(e))
print(msgfy.to_error_message(e, "{exception} {func_name}: {error_msg}"))
Verify before relying
- Whether custom format keywords beyond the documented five are supported.
- Performance characteristics when formatting large exception chains or deeply nested tracebacks.
Package facts
| License | MIT License permissive |
| Python support | Supports the current Python release >=3.7 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | None |
| Maintenance | Dormant 1,062 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 549,145 / month, #6,057 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 4 - BetaIntended Audience :: DevelopersIntended Audience :: Information TechnologyLicense :: OSI Approved :: MIT LicenseOperating System :: OS IndependentProgramming Language :: Python :: 3Programming Language :: Python :: 3 :: OnlyProgramming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.7Programming Language :: Python :: 3.8Programming Language :: Python :: 3.9Programming Language :: Python :: Implementation :: CPythonProgramming Language :: Python :: Implementation :: PyPyTopic :: Software Development :: LibrariesTopic :: Software Development :: Libraries :: Python ModulesTopic :: Text ProcessingTyping :: Typed |
Evidence: msgfy-0.2.1-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 › “exception to error message”
- msgfyConverts Python Exception instances into formatted, human-readable…
- izuluizulu provides a template-based, object-oriented approach to defining…
- aws-error-utilsWraps botocore ClientError exceptions to provide Pythonic access to…
Give your agent the search over MCP, or paste the wish link into any chat.
More Libraries packages
urllib3 is an HTTP client library that provides thread-safe connection pooling, SSL/TLS verification, multipart file uploads, request retries, compression support, and proxy handling for Python applications.
Requests is a Python HTTP library that simplifies sending HTTP/1.1 requests with automatic handling of headers, authentication, cookies, and response parsing.
Pluggy provides a plugin system that lets you define hook specifications and register implementations to be called in sequence, enabling extensible Python applications without tight coupling.
Install it if you're building an extensible application or framework.
Provides parsing, arithmetic, and recurrence rule computation for dates and times, with timezone support and iCalendar RFC compliance.
Install it if you need to parse flexible date strings, compute relative dates, handle timezones, or work with recurrence rules—it's the de facto choice for these tasks.
Six provides utility functions to write Python code that runs on both Python 2.7 and Python 3.3+, smoothing over language differences between the two versions.
pytest is a testing framework that lets you write test functions using plain assert statements and automatically discovers and runs them, with detailed failure reporting.
See also humanreadable · mbstrdecoder · result · fancy-subprocess · typepy · pathvalidate · pytablewriter · colored-traceback · subprocrunner · tabledata