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SANDWORM_MODE: Shai-Hulud-Style npm Worm Hijacks CI Workflows and Poisons AI Toolchains
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aiodogstatsd
Advanced tools
An asyncio-based client for sending metrics to StatsD with support of DogStatsD extension
An asyncio-based client for sending metrics to StatsD with support of DogStatsD extension.
Library fully tested with statsd_exporter and supports gauge, counter, histogram, distribution and timing types.
aiodogstatsd client by default uses 9125 port. It's a default port for statsd_exporter and it's different from 8125 which is used by default in StatsD and DataDog. Initialize the client with the proper port you need if it's different from 9125.
Just type:
$ pip install aiodogstatsd
Just simply use client as a context manager and send any metric you want:
import asyncio
import aiodogstatsd
async def main():
async with aiodogstatsd.Client() as client:
client.increment("users.online")
asyncio.run(main())
Please follow documentation or look at examples/ directory to find more examples of library usage, e.g. integration with AIOHTTP or Starlette frameworks.
To work on the aiodogstatsd codebase, you'll want to clone the project locally and install the required dependencies via poetry:
$ git clone git@github.com:Gr1N/aiodogstatsd.git
$ make install
To run tests and linters use command below:
$ make lint && make test
If you want to run only tests or linters you can explicitly specify which test environment you want to run, e.g.:
$ make lint-black
aiodogstatsd is licensed under the MIT license. See the license file for details.
FAQs
An asyncio-based client for sending metrics to StatsD with support of DogStatsD extension
We found that aiodogstatsd demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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Research
An emerging npm supply chain attack that infects repos, steals CI secrets, and targets developer AI toolchains for further compromise.

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