ResidentMario/missingno
Missing data visualization module for Python. observed · 2026-08-28
Health v2 · maintenance only
23/100
- Activity 0
- Release rhythm 8
- Longevity 100
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 3811
- days_rel: n/a
- days_push: 841
- n_releases_24m: 0
Adoption not part of the score
4211 stars · 521 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
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
library · maturity maintenance
data-visualization data-visualization data-science python missing-data pandas nullity exploratory-data-analysis matplotlib jupyter
2 sources
- readme: https://github.com/ResidentMario/missingno · fetched 2026-08-28 · ca3b09265082
- registry_pypi: https://pypi.org/pypi/missingno/json · fetched 2026-08-29 · 64ef6eb2ad28
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| ResidentMario/missingno | main | 23 |
For agents
markdown · JSON · MCP: product_card(name="ResidentMario/missingno")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem