munge
data manipulation library and client
Decision gist · record as of 2026-08-14
Yes, with conditions. The package has low install friction, a permissive license, no security vulnerabilities, and active maintenance. However, the fact sheet does not describe what specific data transformations or formats it handles, so you should verify that its capabilities match your use case before committing to it. If you need general-purpose data manipulation and the library's actual feature set aligns with your requirements, it is a safe choice.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.8 or later; runtime dependencies include click, requests, pyyaml, toml, tomlkit, charset-normalizer, and urllib3.
- Low install friction with a pure-Python wheel distribution.
- The package is aging (398 days since last release) but remains actively maintained with a recent commit on 2025-07-12 and no archived status.
License · maintenance · safety
Apache-2.0 (permissive) — Licensed under Apache-2.0 (permissive), allowing commercial and private use with minimal restrictions beyond attribution and liability disclaimers.
last release 2025-07-12 (398 days) · last repo commit 2025-07-12 · 2 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 125,324 downloads/mo, #11,826 on PyPI
Alternatives
Verify before relying
pip install munge
import munge
# Use munge for data transformation via its library or CLI interface- Specific data formats and transformation capabilities supported by the library beyond the generic 'data manipulation' description.
- Whether the package is primarily used as a library, CLI tool, or both in typical workflows.
- Performance characteristics and scale limits for large datasets.
What it is and what it does
Munge is a data manipulation library and client that has been maintained since 2015. It provides both programmatic and command-line interfaces for data transformation tasks. The package depends on common utilities like click for CLI support, requests and urllib3 for HTTP operations, and pyyaml and toml for configuration and data format handling.
The package supports Python 3.8 through 3.12 and carries a permissive Apache-2.0 license. With low install friction and no known security vulnerabilities, it is straightforward to add to a project. However, the fact sheet does not specify what data formats it handles, what transformations it performs, or whether it is better suited for library use or command-line operation.
Use it for
- Transform structured data (YAML, TOML, JSON) between formats or structures via CLI or Python code.
- Build data processing pipelines that combine HTTP requests, configuration parsing, and output formatting.
- Automate repetitive data manipulation tasks in shell scripts or Python applications.
- Handle charset normalization and URL encoding in data transformation workflows.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, with conditions.
The package has low install friction, a permissive license, no security vulnerabilities, and active maintenance. However, the fact sheet does not describe what specific data transformations or formats it handles, so you should verify that its capabilities match your use case before committing to it. If you need general-purpose data manipulation and the library's actual feature set aligns with your requirements, it is a safe choice.
Install
munge on PyPI
Before you install
Low install friction with a pure-Python wheel distribution. The package is aging (398 days since last release) but remains actively maintained with a recent commit on 2025-07-12 and no archived status.
Requires Python 3.8 or later; runtime dependencies include click, requests, pyyaml, toml, tomlkit, charset-normalizer, and urllib3.
License in practice
Licensed under Apache-2.0 (permissive), allowing commercial and private use with minimal restrictions beyond attribution and liability disclaimers.
Quickstart
pip install munge
import munge
# Use munge for data transformation via its library or CLI interfaceVerify before relying
- Specific data formats and transformation capabilities supported by the library beyond the generic 'data manipulation' description.
- Whether the package is primarily used as a library, CLI tool, or both in typical workflows.
- Performance characteristics and scale limits for large datasets.
Package facts
| License | Apache-2.0 permissive |
| Python support | Supports the current Python release >=3.8 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 7 packagescharset-normalizerclickpyyamlrequeststomltomlkiturllib3 |
| Maintenance | Aging 398 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 125,324 / month, #11,826 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | License :: OSI Approved :: Apache Software LicenseProgramming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.8Programming Language :: Python :: 3.9Topic :: Software Development |
Evidence: munge-1.4.0-py3-none-any.whl
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