choreographer
Devtools Protocol implementation for chrome.
Decision gist · record as of 2026-08-14
Yes, if you need Chrome automation from Python and are comfortable with a work-in-progress library. The low install friction, active maintenance, MIT license, and zero known vulnerabilities make it a reasonable choice for browser control tasks. However, be aware that only Chrome-ish browsers are supported, the package is still evolving, and you must have Chrome installed on your system. For production use, verify stability on your target platform first.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Chrome or a Chrome-like browser binary installed on the user's machine; async/await is strongly recommended but not absolutely required.
- Low install friction with three lightweight runtime dependencies (logistro, platformdirs, simplejson).
- Active maintenance with a recent release; however, the package is explicitly described as a work in progress with only Chrome-ish browsers currently supported.
License · maintenance · safety
(unclear) — MIT License permits commercial and private use with minimal restrictions; you must include the license notice in distributions. License treatment is marked unclear in the metadata, but the raw text is standard MIT.
last release 2026-04-28 (108 days) · last repo commit 2026-08-04 · 17 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 6,420,920 downloads/mo, #1,914 on PyPI
Alternatives
Verify before relying
import asyncio
import choreographer as choreo
async def example():
browser = await choreo.Browser(headless=False)
tab = await browser.create_tab("https://google.com")
await tab.send_command("Page.navigate", params={"url": "https://github.com"})
asyncio.run(example())- Whether the package works reliably across Windows, macOS, and Linux platforms (help wanted for testing on different platforms)
- Performance characteristics and scalability for concurrent browser instances
- Stability guarantees given the work-in-progress status and Chrome-only support
What it is and what it does
Choreographer is a Python wrapper around the Chrome DevTools Protocol that lets you control a browser programmatically—navigating pages, executing JavaScript, capturing screenshots, and subscribing to browser events. It was created to replace the custom Chrome build approach used by Kaleido, instead leveraging the Chrome binary already on your machine, similar to how Puppeteer works. The package is designed primarily for async/await workflows and provides both high-level Browser and Tab interfaces and lower-level Target and Session interfaces for advanced use.
The package is actively maintained but explicitly in a work-in-progress state: only Chrome-ish browsers are supported at present, and the developers are seeking community help to test on different platforms and use cases. It requires Python 3.8 or later and depends on logistro, platformdirs, and simplejson. Synchronous use is possible but discouraged in favor of asyncio patterns.
Use it for
- Generate static images from browser-based charting tools or web applications without maintaining a custom Chrome build
- Automate browser interactions for testing or data collection from JavaScript-heavy websites
- Control multiple browser tabs programmatically to coordinate navigation and event handling
- Subscribe to browser lifecycle events (page load, crashes, navigation) for monitoring or conditional logic
- Integrate browser automation into Python async applications without blocking the event loop
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you need Chrome automation from Python and are comfortable with a work-in-progress library.
The low install friction, active maintenance, MIT license, and zero known vulnerabilities make it a reasonable choice for browser control tasks. However, be aware that only Chrome-ish browsers are supported, the package is still evolving, and you must have Chrome installed on your system. For production use, verify stability on your target platform first.
Install
choreographer on PyPI
Before you install
Low install friction with three lightweight runtime dependencies (logistro, platformdirs, simplejson). Active maintenance with a recent release; however, the package is explicitly described as a work in progress with only Chrome-ish browsers currently supported.
Requires Chrome or a Chrome-like browser binary installed on the user's machine; async/await is strongly recommended but not absolutely required.
License in practice
MIT License permits commercial and private use with minimal restrictions; you must include the license notice in distributions. License treatment is marked unclear in the metadata, but the raw text is standard MIT.
Quickstart
import asyncio
import choreographer as choreo
async def example():
browser = await choreo.Browser(headless=False)
tab = await browser.create_tab("https://google.com")
await tab.send_command("Page.navigate", params={"url": "https://github.com"})
asyncio.run(example())Verify before relying
- Whether the package works reliably across Windows, macOS, and Linux platforms (help wanted for testing on different platforms)
- Performance characteristics and scalability for concurrent browser instances
- Stability guarantees given the work-in-progress status and Chrome-only support
Package facts
| License | Not declared unclear |
| Python support | Supports the current Python release >=3.8 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 3 packageslogistroplatformdirssimplejson |
| Maintenance | Actively maintained 108 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 6,420,920 / month, #1,914 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
Evidence: choreographer-1.3.0-py3-none-any.whl
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