ridgeplot
Beautiful ridgeline plots in python
Decision gist · record as of 2026-08-14
Yes. ridgeplot is actively maintained, has no known vulnerabilities, installs with low friction, and solves a specific visualization task well. The MIT license is unrestricted. Use it if you need ridgeline plots; it's more convenient than hand-coding KDE and layout in raw Plotly.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.10 or later.
- Low friction: pure Python wheel with four runtime dependencies (numpy, plotly, statsmodels, typing-extensions).
- Actively maintained with recent releases; last commit 2026-08-10.
License · maintenance · safety
permissive license (permissive) — MIT license (permissive): you can use, modify, and distribute ridgeplot freely in commercial and private projects with minimal restrictions, provided you include the license notice.
last release 2026-04-07 (129 days) · last repo commit 2026-08-10 · 242 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 135,169 downloads/mo, #11,452 on PyPI
Alternatives
Verify before relying
pip install ridgeplot
import numpy as np
from ridgeplot import ridgeplot
my_samples = [np.random.normal(n, size=900) for n in range(6, 0, -2)]
fig = ridgeplot(samples=my_samples)
fig.show()- Performance characteristics with very large datasets or high-dimensional samples.
- Accessibility features or export formats beyond Plotly's standard interactive HTML output.
What it is and what it does
ridgeplot is a Python visualization library that wraps Plotly to simplify creation of ridgeline plots—a technique for displaying multiple probability distributions or time-series densities in a single, compact figure. It handles kernel density estimation (KDE) and layout automatically, letting you focus on data rather than plotting mechanics.
The package is built on numpy for numerical work, statsmodels for KDE computation, and Plotly for rendering. You pass in arrays of samples (one per row or category), and ridgeplot generates an interactive figure with sensible defaults for bandwidth, spacing, and color. The result is a Plotly Figure object, so you can extend it with standard Plotly methods for customization. It's designed for exploratory data analysis, scientific visualization, and publication-quality graphics.
Use it for
- Visualize temperature or weather patterns across months or years as overlapping density curves.
- Compare probability distributions across survey response categories or demographic groups.
- Display time-series density evolution (e.g., stock price distributions by year or month).
- Create publication-ready ridgeline plots for scientific papers or reports with minimal code.
- Explore multimodal or skewed distributions across many conditions in a single, readable plot.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
ridgeplot is actively maintained, has no known vulnerabilities, installs with low friction, and solves a specific visualization task well. The MIT license is unrestricted. Use it if you need ridgeline plots; it's more convenient than hand-coding KDE and layout in raw Plotly.
Install
ridgeplot on PyPI
Before you install
Low friction: pure Python wheel with four runtime dependencies (numpy, plotly, statsmodels, typing-extensions). Actively maintained with recent releases; last commit 2026-08-10.
Requires Python 3.10 or later.
License in practice
MIT license (permissive): you can use, modify, and distribute ridgeplot freely in commercial and private projects with minimal restrictions, provided you include the license notice.
Quickstart
pip install ridgeplot
import numpy as np
from ridgeplot import ridgeplot
my_samples = [np.random.normal(n, size=900) for n in range(6, 0, -2)]
fig = ridgeplot(samples=my_samples)
fig.show()Verify before relying
- Performance characteristics with very large datasets or high-dimensional samples.
- Accessibility features or export formats beyond Plotly's standard interactive HTML output.
Package facts
| License | permissive license permissive |
| Python support | Supports the current Python release >=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 4 packagesnumpyplotlystatsmodelstyping-extensions |
| Maintenance | Actively maintained 129 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 135,169 / month, #11,452 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 3 - AlphaIntended Audience :: DevelopersIntended Audience :: Science/ResearchLicense :: OSI Approved :: MIT LicenseNatural Language :: EnglishProgramming Language :: Python :: 3Programming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14Programming Language :: Python :: Implementation :: CPythonTopic :: Scientific/EngineeringTopic :: Scientific/Engineering :: Information AnalysisTopic :: Scientific/Engineering :: VisualizationTopic :: Software DevelopmentTyping :: Typed |
Evidence: ridgeplot-0.6.0-py3-none-any.whl
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