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aiomonitor

Adds monitor and Python REPL capabilities for asyncio applications

With conditionsPyPI MonitoringReleased Nov 2024297.1K downloads / moApache-2.0Pure Python

Decision gist · record as of 2026-08-14

pure-Python wheel — aiomonitor-0.7.1-py3-none-any.whl
v0.7.1 · released 2024-11-11 · Python >=3.8 · 12 runtime deps: attrs, aiohttp, click, janus, jinja2, terminaltables, trafaret, typing-extensions

Yes, if you develop or debug asyncio applications. Low install friction, active maintenance, no known vulnerabilities, and Apache-2.0 licensing make it a safe choice. The tool is mature enough for development workflows but is explicitly designed for that use case, not production monitoring—clarify your intent before relying on it for live systems.AI-flagged interpretation of the facts on this page — verify before relying

Before you install

  • Requires Python 3.9+ (3.8 dropped in 0.7.1); monitor runs in a separate thread and listens on port 20101 by default.
  • Low friction: pure Python wheel with 12 runtime dependencies, all common async/CLI libraries.
  • Active maintenance as of July 2026, with recent Python 3.13 support added in November 2024.

License · maintenance · safety

Apache-2.0 (permissive) — Apache-2.0 permissive license; safe for commercial and proprietary use with minimal obligations beyond attribution.

last release 2024-11-11 (641 days) · last repo commit 2026-07-06 · 775 stars

0 known vulnerabilities (OSV.dev, 2026-08-14) · 297,102 downloads/mo, #7,889 on PyPI

Verify before relying

import asyncio
import aiomonitor

async def main():
    loop = asyncio.get_running_loop()
    with aiomonitor.start_monitor(loop):
        await asyncio.sleep(10)

asyncio.run(main())
# Then: telnet localhost 20101
  • Whether the monitor thread overhead is acceptable for production workloads or primarily intended for development.
  • Performance impact when many tasks are running or event loop is under heavy load.
Same gist for agents: .md · .json

What it is and what it does

aiomonitor is a development and debugging tool for asyncio applications that runs a monitor server in a background thread, allowing you to inspect and interact with a running event loop without blocking it. The monitor provides a telnet interface (port 20101) and a Python REPL where you can execute async commands, list and cancel tasks, view stack traces, and explore application state—useful when the event loop itself is blocked or unresponsive.

The package depends on aioconsole, click, prompt-toolkit, and several other async/terminal libraries to provide its interactive console and command interface. It is designed as a drop-in addition to existing asyncio or aiohttp applications, with a simple context-manager API. The tool is inspired by curio's monitor and is primarily intended for development and debugging rather than production monitoring.

Use it for

  • Debug a stuck or slow asyncio application by connecting to the monitor and inspecting task state without restarting.
  • Explore live application variables and execute async test queries inside a running event loop via the Python console.
  • Cancel hung or runaway tasks from a remote terminal without stopping the entire application.
  • Inspect task creation and termination chains to understand concurrency flow during development.
  • Add custom monitoring commands to your asyncio app by extending aiomonitor with your own console commands.

Worth the install?

AI-flagged interpretation of the facts on this page. Verify before relying on it.

With conditions

Yes, if you develop or debug asyncio applications.

Low install friction, active maintenance, no known vulnerabilities, and Apache-2.0 licensing make it a safe choice. The tool is mature enough for development workflows but is explicitly designed for that use case, not production monitoring—clarify your intent before relying on it for live systems.

Install

aiomonitor on PyPI

Before you install

Low friction: pure Python wheel with 12 runtime dependencies, all common async/CLI libraries. Active maintenance as of July 2026, with recent Python 3.13 support added in November 2024.

Requires Python 3.9+ (3.8 dropped in 0.7.1); monitor runs in a separate thread and listens on port 20101 by default.

License in practice

Apache-2.0 permissive license; safe for commercial and proprietary use with minimal obligations beyond attribution.

Quickstart

import asyncio
import aiomonitor

async def main():
    loop = asyncio.get_running_loop()
    with aiomonitor.start_monitor(loop):
        await asyncio.sleep(10)

asyncio.run(main())
# Then: telnet localhost 20101

Verify before relying

  • Whether the monitor thread overhead is acceptable for production workloads or primarily intended for development.
  • Performance impact when many tasks are running or event loop is under heavy load.

Package facts

LicenseApache-2.0 permissive
Python supportSupports the current Python release >=3.8
Install frictionLow. Pure-Python wheel
Runtime dependencies
12 packages
attrsaiohttpclickjanusjinja2terminaltablestrafarettyping-extensionsprompt-toolkitaioconsoletelnetlib3backports.strenum
MaintenanceActively maintained 641 days since the last release
Last repo commit
First released
Downloads297,102 / month, #7,889 on PyPI 30-day window, as of 2026-08-14
Known vulnerabilitiesNone known OSV.dev, checked 2026-08-14
Classifiers
Development Status :: 3 - AlphaFramework :: AsyncIOIntended Audience :: DevelopersLicense :: OSI Approved :: Apache Software LicenseOperating System :: POSIXProgramming Language :: Python :: 3Programming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.9

Evidence: aiomonitor-0.7.1-py3-none-any.whl

Tags

Capabilities
asyncio task monitoringasyncio debugging consoleasync event loop inspectortelnet monitor for asyncioasyncio REPL debuggerasync task introspectionasyncio development tools
Topics
asyncio-debuggingdevtoolrepl
PyPI keywords
asyncioaiohttpmonitordebuggingutilitydevtool

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See also aioconsole · aiosignal · aiotools · aiojobs · aiorun · aa-taskmonitor · aiovlc · aiomultiprocess · nest-asyncio2 · aiocop