---
id: munge
version: "1.4.0"
license: Apache-2.0
license_treatment: permissive
maintenance: aging
---

# munge — data manipulation library and client

License: permissive · Maintenance: aging · Downloads: 125.3K/mo

## 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 above — verify before relying.

Munge is a data manipulation library and command-line client for transforming and processing data through a programmatic or CLI interface.

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

pip install munge
uv add munge
poetry add munge

## Installing munge

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.

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 interface

Requires Python 3.8 or later; runtime dependencies include click, requests, pyyaml, toml, tomlkit, charset-normalizer, and urllib3.

Verify 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_current
- Install friction: low
- Maintenance: aging
- Downloads: 125.3K/month (top 15,000 on PyPI)
- Known vulnerabilities: none known

## Tags

data manipulation library, data transformation tool, cli data processing, data munging utility, structured data handling, data-transformation, cli-tool

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