Production-ready package for financial risk analysis and visualization. Built for risk managers, quantitative analysts, and financial researchers who need clear, accurate, and publication-quality charts.
pip install riskplot
Ridge plots and density comparisons for return distribution analysis across portfolios and asset classes.
Learn More →Heatmaps and correlation matrices with advanced styling for risk exposure visualization.
Learn More →Waterfall charts for P&L attribution, risk decomposition, and factor analysis.
Learn More →Risk matrices for probability vs impact analysis and scenario assessment.
Learn More →Country risk visualization and geographic risk distribution mapping.
Learn More →Financial network visualization for interconnectedness and systemic risk analysis.
Learn More →Professional-quality charts for every risk analysis need
pip install riskplot
import riskplot
import pandas as pd
fig, ax = riskplot.ridge_plot(
data, 'category', 'values'
)