
Product
Introducing Scala and Kotlin Support in Socket
Socket now supports Scala and Kotlin, bringing AI-powered threat detection to JVM projects with easy manifest generation and fast, accurate scans.
prometheus-async adds support for asynchronous frameworks to the official Python client for the Prometheus metrics and monitoring system.
Currently asyncio and Twisted are supported.
It works by wrapping the metrics from the official client:
import asyncio
from aiohttp import web
from prometheus_client import Histogram
from prometheus_async.aio import time
REQ_TIME = Histogram("req_time_seconds", "time spent in requests")
@time(REQ_TIME)
async def req(request):
await asyncio.sleep(1)
return web.Response(body=b"hello")
Even for synchronous applications, the metrics exposure methods can be useful since they are more powerful than the one shipped with the official client. For that, helper functions have been added that run them in separate threads (asyncio-only).
The source code is hosted on GitHub and the documentation on Read the Docs.
prometheus-async is written and maintained by Hynek Schlawack.
The development is kindly supported by my employer Variomedia AG, prometheus-async’s Tidelift subscribers, and all my amazing GitHub Sponsors.
Available as part of the Tidelift Subscription.
The maintainers of prometheus-async and thousands of other packages are working with Tidelift to deliver commercial support and maintenance for the open source packages you use to build your applications. Save time, reduce risk, and improve code health, while paying the maintainers of the exact packages you use.
FAQs
Async helpers for prometheus_client.
We found that prometheus-async 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.
Did you know?
Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
Product
Socket now supports Scala and Kotlin, bringing AI-powered threat detection to JVM projects with easy manifest generation and fast, accurate scans.
Application Security
/Security News
Socket CEO Feross Aboukhadijeh and a16z partner Joel de la Garza discuss vibe coding, AI-driven software development, and how the rise of LLMs, despite their risks, still points toward a more secure and innovative future.
Research
/Security News
Threat actors hijacked Toptal’s GitHub org, publishing npm packages with malicious payloads that steal tokens and attempt to wipe victim systems.