pyjanitor-devs/pyjanitor
Clean APIs for data cleaning. Python implementation of R package Janitor observed · 2026-08-28
Health v2 · maintenance only
99/100
- Activity 99
- Release rhythm 98
- 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: 4
- age_days: 3104
- days_rel: 16
- days_push: 7
- n_releases_24m: 26
Adoption not part of the score
1498 stars · 195 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
pyjanitor is a Python library providing clean, readable APIs for data cleaning on pandas DataFrames, inspired by the R package janitor. It extends pandas with method-chaining functions for common preprocessing tasks like dropping empty rows, renaming columns, and filtering.
Use cases
- clean messy pandas dataframes
- remove empty rows and columns from data
- rename dataframe columns consistently
- chain data preprocessing steps readably
- port R janitor workflows to Python
- prepare raw data for analysis
When to choose
- you use pandas and want expressive, chainable data-cleaning functions
- you want a dplyr/janitor-style API in Python
When to avoid
- you work outside the pandas ecosystem
- you need heavy-duty distributed data processing like Spark
Facets
library · maturity active
data-science etl data-science python pandas dataframe data-cleaning method-chaining data-preprocessing data-engineering
3 sources
- readme: https://github.com/pyjanitor-devs/pyjanitor · fetched 2026-08-28 · cb3e107da3bb
- homepage: https://pyjanitor-devs.github.io/pyjanitor · fetched 2026-08-29 · d3c8e925057c
- registry_pypi: https://pypi.org/pypi/pyjanitor/json · fetched 2026-08-29 · af8977b759de
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| pyjanitor-devs/pyjanitor | main | 99 |
For agents
markdown · JSON · MCP: product_card(name="pyjanitor-devs/pyjanitor")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem