chart-studio
Utilities for interfacing with plotly's Chart Studio
Decision gist · record as of 2026-08-14
Yes, if you actively use Plotly's Chart Studio service and need programmatic control over publishing. The low install friction, permissive license, and active maintenance of the underlying Plotly ecosystem make it a safe choice. However, verify first whether your workflow actually requires Chart Studio integration—many teams use plotly standalone for local or embedded visualizations and never need this bridge.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Low install friction with a pure Python wheel distribution.
- The package is actively maintained with recent commits and carries permissive MIT licensing, making it straightforward to add to existing projects.
License · maintenance · safety
MIT (permissive) — MIT license is permissive and imposes minimal restrictions; you can use, modify, and distribute chart-studio freely in commercial and private projects with only attribution required.
last release 2020-04-01 (2326 days) · last repo commit 2026-08-07 · 18,738 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 81,227 downloads/mo, #14,242 on PyPI
Alternatives
Verify before relying
pip install chart-studio
import plotly.express as px
import chart_studio.plotly as py
fig = px.bar(x=["a", "b", "c"], y=[1, 3, 2])
py.plot(fig, filename="my-chart")- Whether Chart Studio account credentials are required to publish charts programmatically
- Current API compatibility with modern Plotly versions, given the package's last release was in 2020
- Whether this package is still the recommended way to interface with Chart Studio or if functionality has been merged into plotly itself
What it is and what it does
chart-studio is a utility library that bridges Plotly's Python graphing library with Plotly's Chart Studio cloud service. It depends on plotly, requests, retrying, and six to handle the communication and retry logic needed to publish interactive visualizations to the cloud. The package is designed for workflows where you create charts locally using plotly and want to upload them to a cloud-hosted Chart Studio account for sharing, collaboration, or embedding in web applications.
The library sits between your local Python environment and Plotly's servers, translating chart objects into API calls and managing the upload process. It's particularly useful when you need persistent, shareable links to your visualizations or want to leverage Chart Studio's collaboration and dashboard features without manually exporting and uploading through a web interface.
Use it for
- Publish interactive Plotly charts to Chart Studio for sharing with non-technical stakeholders via a URL
- Automate batch uploads of multiple charts to Chart Studio as part of a reporting pipeline
- Embed Plotly visualizations in web applications by uploading them to Chart Studio and retrieving shareable links
- Collaborate on chart design by programmatically pushing updates to Chart Studio from a Python script
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you actively use Plotly's Chart Studio service and need programmatic control over publishing.
The low install friction, permissive license, and active maintenance of the underlying Plotly ecosystem make it a safe choice. However, verify first whether your workflow actually requires Chart Studio integration—many teams use plotly standalone for local or embedded visualizations and never need this bridge.
Install
chart-studio on PyPI
Before you install
Low install friction with a pure Python wheel distribution. The package is actively maintained with recent commits and carries permissive MIT licensing, making it straightforward to add to existing projects.
License in practice
MIT license is permissive and imposes minimal restrictions; you can use, modify, and distribute chart-studio freely in commercial and private projects with only attribution required.
Quickstart
pip install chart-studio
import plotly.express as px
import chart_studio.plotly as py
fig = px.bar(x=["a", "b", "c"], y=[1, 3, 2])
py.plot(fig, filename="my-chart")Verify before relying
- Whether Chart Studio account credentials are required to publish charts programmatically
- Current API compatibility with modern Plotly versions, given the package's last release was in 2020
- Whether this package is still the recommended way to interface with Chart Studio or if functionality has been merged into plotly itself
Package facts
| License | MIT permissive |
| Python support | Not specified |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 4 packagesplotlyrequestsretryingsix |
| Maintenance | Actively maintained 2,326 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 81,227 / month, #14,242 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/StableProgramming Language :: Python :: 2Programming Language :: Python :: 2.7Programming Language :: Python :: 3Programming Language :: Python :: 3.5Programming Language :: Python :: 3.6Programming Language :: Python :: 3.7Topic :: Scientific/Engineering :: Visualization |
Evidence: chart_studio-1.1.0-py3-none-any.whl
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