Ross ROSS = Recommend OSS · open-source software intelligence for agents

AutoViML/AutoViz

Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request. observed · 2026-08-28

github.com/AutoViML/AutoViz · Python · Apache-2.0 (permissive) observed · 2026-08-28

Health v2 · maintenance only

32/100

  • Activity 0
  • Release rhythm 35
  • Longevity 100

Flags: no_releases

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 2604
  • days_rel: n/a
  • days_push: 814
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

1898 stars · 214 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

AutoViz is a Python library that automatically generates visualizations for any dataset, of any size, with a single line of code. It also includes a FixDQ() function for assessing and fixing data quality issues.

Use cases

  • automatically visualize a csv dataset with one line of code
  • quick exploratory data analysis of a pandas dataframe
  • generate charts for large datasets without manual plotting
  • assess and fix data quality issues before modeling
  • explore datasets as a beginner without writing matplotlib code

When to choose

  • you want fast automated EDA charts with minimal code
  • you need quick insight into a new dataset's distributions and relationships
  • you want a lightweight automated visualization companion to an AutoML workflow

When to avoid

  • you need fully customized, publication-quality figures
  • you require fine-grained control over chart types and styling
  • your project depends on a specific visualization stack like plotly or seaborn

Facets

library · maturity active

data-visualization data-visualization data-science machine-learning python cross-platform automl eda exploratory-data-analysis charts one-liner data-quality

2 sources

Member repositories

RepositoryRoleHealth v2
AutoViML/AutoVizmain32

For agents

markdown · JSON · MCP: product_card(name="AutoViML/AutoViz")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem