# missingno

> Provides flexible toolset of data-visualization utilities that allows quick visual summary of the completeness of your dataset, based on matplotlib.

- Category: [Python data visualization libraries](https://awesomedataviz.com/categories/python/)
- Repository: https://github.com/ResidentMario/missingno
- License: MIT
- Language: Python
- Status: Inactive (no commits in over a year)
- GitHub stars: 4,211
- Commits in the last 12 months: 0
- Contributors: 16
- Last commit: Feb 26, 2023
- Latest release: 0.5.2 (Feb 26, 2023)
- Install (PyPI): `pip install missingno`, 61.1K downloads per week

## Overview

missingno is an open-source Python visualization library released under the MIT license. Its GitHub repository has 4,211 stars, 520 forks, and 16 contributors. It has not had a commit since Feb 26, 2023. The latest release, 0.5.2, was published on Feb 26, 2023. On PyPI it is downloaded about 61.1K times per week.

## Alternatives

- [Streamlit](https://awesomedataviz.com/tools/streamlit/): Framework for turning Python scripts into interactive data apps. (45.9K stars)
- [Dash](https://awesomedataviz.com/tools/dash/): Framework for building data apps and dashboards in Python, built on Plotly.js and React. (24.4K stars)
- [Matplotlib](https://awesomedataviz.com/tools/matplotlib/): 2D plotting library. (23.3K stars)
- [Bokeh](https://awesomedataviz.com/tools/bokeh/): Interactive Web Plotting for Python. (20.5K stars)
- [Taipy](https://awesomedataviz.com/tools/taipy/): Python framework for building data and AI web applications with interactive charts and dashboards. (19.4K stars)
- [Plotly (Python)](https://awesomedataviz.com/tools/plotly-python/): Interactive web based visualization built on top of plotly.js (18.8K stars)

Source: https://awesomedataviz.com/tools/missingno/ · Data updated 2026-10-04 · Content: CC BY 4.0, Awesome Dataviz (https://awesomedataviz.com).
