plotly-express
Plotly Express - a high level wrapper for Plotly.py
Decision gist · record as of 2026-08-14
No. This package is abandoned (last updated 2019, repository archived) and serves only as a deprecated compatibility shim. New projects should install plotly directly and import from plotly.express. Existing code using plotly_express should be refactored to use plotly.express instead.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Low install friction with pure Python wheels, but the package is abandoned as of 2019 and no longer maintained.
- New code should import directly from plotly.express instead.
License · maintenance · safety
MIT (permissive) — MIT license permits commercial and private use with minimal restrictions; suitable for most projects.
last release 2019-08-07 (2564 days) · last repo commit 2019-12-06 · 6 stars · archived
0 known vulnerabilities (OSV.dev, 2026-08-14) · 1,005,588 downloads/mo, #4,529 on PyPI
Alternatives
Verify before relying
pip install plotly-express==0.4.1
import plotly_express as px
import pandas as pd
df = pd.DataFrame({'x': [1, 2, 3], 'y': [4, 5, 6]})
fig = px.scatter(df, x='x', y='y')
fig.show()- Whether existing code relying on plotly_express 0.4.1 will work with current plotly versions without modification
- Compatibility with modern Python versions (requires_python is unspecified in metadata)
What it is and what it does
Plotly Express is a compatibility layer that re-exports the contents of plotly.express under the plotly_express namespace. It was created as a high-level wrapper for Plotly.py to simplify interactive visualization creation, but has been integrated directly into Plotly.py as of version 4. The package depends on pandas, plotly, statsmodels, scipy, patsy, and numpy to function.
This package is now primarily useful only for maintaining legacy code that explicitly imports from plotly_express rather than plotly.express. The repository is archived and the package has not been updated since 2019. For any new projects, importing directly from plotly.express is the recommended approach.
Use it for
- Maintaining legacy code that imports from plotly_express without refactoring import statements
- Ensuring backward compatibility when migrating older projects to newer Plotly versions
- Creating interactive scatter plots, line charts, and other visualizations with minimal code
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
No.
This package is abandoned (last updated 2019, repository archived) and serves only as a deprecated compatibility shim. New projects should install plotly directly and import from plotly.express. Existing code using plotly_express should be refactored to use plotly.express instead.
Install
plotly-express on PyPI
Before you install
Low install friction with pure Python wheels, but the package is abandoned as of 2019 and no longer maintained. New code should import directly from plotly.express instead.
License in practice
MIT license permits commercial and private use with minimal restrictions; suitable for most projects.
Quickstart
pip install plotly-express==0.4.1
import plotly_express as px
import pandas as pd
df = pd.DataFrame({'x': [1, 2, 3], 'y': [4, 5, 6]})
fig = px.scatter(df, x='x', y='y')
fig.show()Verify before relying
- Whether existing code relying on plotly_express 0.4.1 will work with current plotly versions without modification
- Compatibility with modern Python versions (requires_python is unspecified in metadata)
Package facts
| License | MIT permissive |
| Python support | Not specified |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 6 packagespandasplotlystatsmodelsscipypatsynumpy |
| Maintenance | Abandoned 2,564 days since the last release |
| Last repo commit | repository archived |
| First released | |
| Downloads | 1,005,588 / month, #4,529 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 :: MIT LicenseTopic :: Scientific/Engineering :: Visualization |
Evidence: plotly_express-0.4.1-py2.py3-none-any.whl
Tags
Let your AI agent find packages like this
Example. Real query, live index.
You found this page by searching. An agent finds it by wishing: SkillFed indexes 14,416 PyPI packages by what they can do, searchable in plain language.
wish › “high-level visualization wrapper”
- plotly-expressPlotly Express is now a compatibility shim that re-exports…
- holoviewsHoloViews lets you declare data structure and visualization intent…
- hvplothvPlot provides a high-level plotting API that wraps HoloViews,…
Give your agent the search over MCP, or paste the wish link into any chat.
More Visualization packages
matplotlib creates static, animated, and interactive visualizations in Python, producing publication-quality figures in multiple formats for scripts, shells, web servers, and graphical interfaces.
Install it if you need to visualize data, generate publication-quality figures, or embed plots in applications.
ContourPy calculates contours of 2D quadrilateral grids using C++11 algorithms wrapped in Python, offering serial and multithreaded implementations without requiring Matplotlib as a dependency.
Plotly is an interactive, browser-based graphing library that creates charts and visualizations from Python, rendering them as HTML that can be viewed in Jupyter notebooks, standalone files, or web applications.
Generates DOT language source code for graph structures and renders them using the Graphviz graph drawing software installed on your system.
Install it if you need to generate or render graphs from Python.
Streamlit transforms Python scripts into interactive web applications with minimal code, enabling rapid development of data dashboards, reports, and chat interfaces without requiring web development expertise.
Leather is a lightweight Python charting library for quick, no-frills data visualization. It generates charts without requiring perfect styling or extensive configuration.
See also chart-studio · ridgeplot · altex · sphinx-plotly-directive · lia-web · reflex-components-plotly · kaleido · plotly-resampler · hvplot