---
id: chart-studio
version: "1.1.0"
license: MIT
license_treatment: permissive
maintenance: active
---

# chart-studio — Utilities for interfacing with plotly's Chart Studio

License: permissive · Maintenance: active · Downloads: 81.2K/mo

## 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 above — verify before relying.

Provides utilities to interface with Plotly's Chart Studio, enabling programmatic creation and management of interactive charts in a cloud-based environment.

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

pip install chart-studio
uv add chart-studio
poetry add chart-studio

## Installing chart-studio

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: unspecified
- Install friction: low
- Maintenance: active
- Downloads: 81.2K/month (top 15,000 on PyPI)
- Known vulnerabilities: none known

## Tags

plotly chart studio integration, cloud-based interactive charts, plotly cloud publishing, chart studio api client, plotly online visualization, web-based chart management, plotly-integration, cloud-charts

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