Python SDK
Manage Hyperping from Python with a client that supports synchronous and asynchronous usage, built on Pydantic v2 models.
Built and maintained by Develeap. Published on PyPI. Source code on GitHub.
Installation
pip install hyperpingAuthentication
Generate an API token from Settings → API in the Hyperping dashboard.
from hyperping import HyperpingClient
client = HyperpingClient(api_key="sk_...")Synchronous usage
from hyperping import HyperpingClient, MonitorCreate
client = HyperpingClient(api_key="sk_...")
# List all monitors
monitors = client.list_monitors()
for m in monitors:
print(f"{m.name}: {'down' if m.down else 'up'}")
# Create a monitor
created = client.create_monitor(
MonitorCreate(name="API Health", url="https://api.example.com/health")
)Async usage
import asyncio
from hyperping import AsyncHyperpingClient
async def main():
async with AsyncHyperpingClient(api_key="sk_...") as client:
monitors = await client.list_monitors()
for m in monitors:
print(f"{m.name}: {'down' if m.down else 'up'}")
asyncio.run(main())Pydantic v2 models
All API responses are returned as Pydantic v2 models with full type hints. This gives you autocompletion in your editor and runtime validation of API responses.
Links
Next steps
Terraform Provider
Monitors, status pages, and incidents as code.
Prometheus Exporter
Hyperping metrics in Prometheus and Grafana.
Go Client
The Go counterpart to this SDK.
API overview
The REST API this SDK is built on.
