v0.3.0Dashboards · EDA · Slides · PDF
Visualize.
Report.
One unified API for interactive charts, automatic dashboards, EDA reports, presentations and PDFs — built on pandas, powered by Plotly. The real library runs in your browser on the playground: no install required.
$pip install viewx
5Engines
14Chart kinds
6Themes
v0.3.0Version
EcosystemStatsLibX · SynaptIX
Built-in Engines
Five export engines and a shared theme system covering the full reporting workflow — from a quick chart to a full EDA report.
Quick Start
Everything shares the same API: build, then .save() or .show().
example.py
python
import viewx as vx
df = vx.load_dataset("iris.csv")
vx.plot(df, x="sepal_length", y="petal_length") # interactive chart in 1 line
vx.Dashboard.auto(df).save("dash.html") # automatic dashboard
vx.DataMatrix(df).analyze().save("eda.html") # interactive EDA report
vx.Presentation.auto(df).save("slides.html") # automatic slide deck
vx.Report.auto(df).save("report.pdf") # typeset PDF (needs pdflatex)Built-in Datasets
Ready-to-use datasets for immediate visualization and reporting.
iris.csv
penguins.csv
titanic.csv
sp500_companies.csv
course_completion.csv
Ready to Visualize?
The playground loads the real viewx in your browser — charts, dashboards and EDA reports render inline, zero installation.
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