quickchart.io
A client for quickchart.io, a service that generates static chart images
Decision gist · record as of 2026-08-14
Yes. The package is actively maintained, has no known vulnerabilities, installs with minimal friction (one dependency), and is MIT-licensed. Install it if you need to generate static chart images from Chart.js configs without managing a headless browser or charting library. Be aware that short URLs require a live connection to quickchart.io and expire unless you have a paid subscription.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.9 or later; version 3.0.0 and later do not support Python 3.7 or 3.8.
- Low friction: single runtime dependency (requests), pure Python wheel, actively maintained with a commit on 2026-06-30 and a release 45 days prior.
License · maintenance · safety
MIT (permissive) — MIT license permits commercial and private use with minimal restrictions; suitable for most projects.
last release 2026-06-30 (45 days) · last repo commit 2026-06-30 · 66 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 100,591 downloads/mo, #12,980 on PyPI
Alternatives
Verify before relying
pip install quickchart.io
from quickchart import QuickChart
qc = QuickChart()
qc.width = 500
qc.height = 300
qc.config = {"type": "bar", "data": {"labels": ["Hello", "World"], "datasets": [{"label": "Foo", "data": [1, 2]}]}}
print(qc.get_url())- Whether the quickchart.io service has rate limits or quotas that affect typical usage patterns.
- Performance characteristics when generating charts with very large datasets or complex configurations.
What it is and what it does
quickchart-io is a Python wrapper around the quickchart.io web service that converts Chart.js chart configurations into static images. You define a chart using a Python dict or string following the Chart.js schema, set dimensions and rendering options on a QuickChart object, then call get_url() to receive an encoded URL that renders the chart, or get_bytes() to fetch the image directly. The library handles URL encoding, supports both long-form and short-form URLs (the latter persisting only temporarily on the free tier), and allows customization of image format, dimensions, background color, device pixel ratio, and Chart.js version.
The package is useful when you need to embed or serve static chart images without running a headless browser or charting library locally. It relies on requests for HTTP communication and requires Python 3.9 or later. Short URLs require a network call to the quickchart.io service; long URLs are self-contained and do not. For charts containing JavaScript functions (e.g., custom tick formatters), the library provides a QuickChartFunction class to embed them correctly.
Use it for
- Generate chart images for email reports or PDF exports without server-side rendering infrastructure.
- Create shareable URLs for charts that can be embedded in web pages or shared via messaging.
- Build dashboards or monitoring tools that need to display static chart snapshots at regular intervals.
- Convert Chart.js configurations (common in web frontends) into images for backend processing or archival.
- Generate charts with custom JavaScript functions for label formatting or data transformation.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
The package is actively maintained, has no known vulnerabilities, installs with minimal friction (one dependency), and is MIT-licensed. Install it if you need to generate static chart images from Chart.js configs without managing a headless browser or charting library. Be aware that short URLs require a live connection to quickchart.io and expire unless you have a paid subscription.
Install
quickchart-io on PyPI
Before you install
Low friction: single runtime dependency (requests), pure Python wheel, actively maintained with a commit on 2026-06-30 and a release 45 days prior.
Requires Python 3.9 or later; version 3.0.0 and later do not support Python 3.7 or 3.8.
License in practice
MIT license permits commercial and private use with minimal restrictions; suitable for most projects.
Quickstart
pip install quickchart.io
from quickchart import QuickChart
qc = QuickChart()
qc.width = 500
qc.height = 300
qc.config = {"type": "bar", "data": {"labels": ["Hello", "World"], "datasets": [{"label": "Foo", "data": [1, 2]}]}}
print(qc.get_url())Verify before relying
- Whether the quickchart.io service has rate limits or quotas that affect typical usage patterns.
- Performance characteristics when generating charts with very large datasets or complex configurations.
Package facts
| License | MIT permissive |
| Python support | Supports the current Python release >=3.9 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 1 packagerequests |
| Maintenance | Actively maintained 45 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 100,591 / month, #12,980 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/StableIntended Audience :: DevelopersLicense :: OSI Approved :: MIT LicenseOperating System :: OS IndependentProgramming Language :: Python :: 3Programming Language :: Python :: 3 :: OnlyProgramming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.9Topic :: Multimedia :: GraphicsTyping :: Typed |
Evidence: quickchart_io-3.0.0-py3-none-any.whl
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