corner
Make some beautiful corner plots
Decision gist · record as of 2026-08-14
Yes. Corner is actively maintained, has no known vulnerabilities, installs with minimal friction, and solves a specific visualization problem for statistical and scientific analysis workflows. Its permissive BSD 2-Clause License and stable API (Production/Stable status) make it a low-risk, reliable choice for anyone working with multivariate data visualization.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.9 or later; matplotlib must be installed and configured for your display environment.
- Low friction install with a single runtime dependency (matplotlib).
- Active maintenance with recent releases; last commit 2026-08-10 and 573 repository stars indicate ongoing support.
License · maintenance · safety
BSD 2-Clause License (permissive) — BSD 2-Clause License is permissive and imposes minimal restrictions; you can use, modify, and distribute this package with only attribution and liability disclaimer requirements.
last release 2026-07-05 (40 days) · last repo commit 2026-08-10 · 573 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 572,605 downloads/mo, #5,945 on PyPI
Alternatives
Verify before relying
pip install corner
import corner
import matplotlib.pyplot as plt
fig = corner.corner(data)- Whether the package handles very large datasets efficiently or has known performance limits.
- Support for interactive features or customization options beyond what the documentation excerpt describes.
- Specific use cases and typical workflows the package is designed for.
What it is and what it does
Corner is a Python plotting library that creates corner plots—a standard visualization in Bayesian inference and parameter estimation where each panel shows either a 1D histogram (diagonal) or 2D scatterplot (off-diagonal) for a set of variables. It wraps matplotlib to handle the repetitive layout and styling work, letting you focus on your data rather than plot construction.
The package is designed for scientists and statisticians working with multivariate analyses. It takes a data array and produces a publication-ready figure showing marginal distributions and pairwise correlations across all parameter dimensions at once, making it easy to spot relationships and validate results.
Use it for
- Visualize posterior samples from Bayesian inference to inspect parameter correlations and marginal constraints.
- Create corner plots from parameter estimation output to diagnose convergence and identify parameter relationships.
- Generate publication-quality figures for scientific papers showing multivariate distributions and covariances.
- Explore high-dimensional data by examining all pairwise relationships and individual marginals in one plot.
- Compare parameter estimates across different models or inference methods side-by-side.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
Corner is actively maintained, has no known vulnerabilities, installs with minimal friction, and solves a specific visualization problem for statistical and scientific analysis workflows. Its permissive BSD 2-Clause License and stable API (Production/Stable status) make it a low-risk, reliable choice for anyone working with multivariate data visualization.
Install
corner on PyPI
Before you install
Low friction install with a single runtime dependency (matplotlib). Active maintenance with recent releases; last commit 2026-08-10 and 573 repository stars indicate ongoing support.
Requires Python 3.9 or later; matplotlib must be installed and configured for your display environment.
License in practice
BSD 2-Clause License is permissive and imposes minimal restrictions; you can use, modify, and distribute this package with only attribution and liability disclaimer requirements.
Quickstart
pip install corner
import corner
import matplotlib.pyplot as plt
fig = corner.corner(data)Verify before relying
- Whether the package handles very large datasets efficiently or has known performance limits.
- Support for interactive features or customization options beyond what the documentation excerpt describes.
- Specific use cases and typical workflows the package is designed for.
Package facts
| License | BSD 2-Clause License permissive |
| Python support | Supports the current Python release >=3.9 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 1 packagematplotlib |
| Maintenance | Actively maintained 40 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 572,605 / month, #5,945 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 5 - Production/StableLicense :: OSI Approved :: BSD LicenseOperating System :: OS IndependentProgramming Language :: Python :: 3 |
Evidence: corner-2.3.0-py3-none-any.whl
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