# ResidentMario/missingno

Missing data visualization module for Python.

Repository: https://github.com/ResidentMario/missingno
Canonical: https://ross.abutalabs.com/products/missingno
Language: Python
License: MIT
License Family: permissive
Topics: missing-data, data-visualization, data-analysis, pandas, python
Last push: 2024-05-14T18:30:13+00:00

## Health v2 (maintenance only)
Score: 23/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 8, longevity 100
- inputs: {"age_days": 3811, "days_push": 841, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 4211, forks 521 (observed 2026-08-28T04:08:39.090984+00:00)

## What it is
missingno is a Python library providing flexible visualizations (matrix, bar, heatmap, dendrogram) for quickly assessing missing data patterns in pandas DataFrames. It integrates with matplotlib and is designed for use in Jupyter notebooks during exploratory data analysis.

## Use cases
- visualize missing values in a pandas dataframe
- find patterns in null data before cleaning a dataset
- check which columns have missing values
- explore nullity correlations in a dataset
- profile data completeness in a jupyter notebook
- prepare messy csv data for machine learning

## When to choose
- you work with pandas DataFrames and need a quick visual summary of missing data
- you want lightweight, matplotlib-based nullity plots in a notebook
- you need to spot missingness patterns before imputation or cleaning

## When to avoid
- you need automated missing-value imputation rather than visualization
- your data is not in pandas or tabular form
- you need interactive dashboards rather than static matplotlib plots

## Facets
- artifact type: library
- maturity: maintenance
- function: data-visualization
- domain: data-visualization, data-science
- platform: python
- tags: missing-data, pandas, nullity, exploratory-data-analysis, matplotlib, jupyter

## Member repositories
- ResidentMario/missingno (main) score 23

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:08:39.090984+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T18:22:28.968644+00:00, confidence not recorded.
  - readme: https://github.com/ResidentMario/missingno (fetched 2026-08-28T04:08:39.090984+00:00, sha ca3b09265082)
  - registry_pypi: https://pypi.org/pypi/missingno/json (fetched 2026-08-29T09:12:38.480632+00:00, sha 64ef6eb2ad28)
- Data as of 2026-08-30T08:39:29.467469+00:00.