Python
Sentry's Python SDK enables automatic reporting of errors and performance data in your application.
On this page, we get you up and running with Sentry's SDK.
Using a framework?
See our Integrations page or choose from the left-hand dropdown to get started.
Don't already have an account and Sentry project established? Head over to sentry.io, then return to this page.
If you prefer to follow video instructions, see How to Install the Sentry Python SDK in 60 Seconds.
Sentry captures data by using an SDK within your application’s runtime.
Install our Python SDK using pip:
pip install --upgrade sentry-sdk
Configuration should happen as early as possible in your application's lifecycle.
import sentry_sdk
sentry_sdk.init(
dsn="https://examplePublicKey@o0.ingest.sentry.io/0",
# Set traces_sample_rate to 1.0 to capture 100%
# of transactions for tracing.
traces_sample_rate=1.0,
# Set profiles_sample_rate to 1.0 to profile 100%
# of sampled transactions.
# We recommend adjusting this value in production.
profiles_sample_rate=1.0,
)
Add this intentional error to your application to test that everything is working right away.
division_by_zero = 1 / 0
Learn more about manually capturing an error or message in our Usage documentation.
To view and resolve the recorded error, log into sentry.io and open your project. Clicking on the error's title will open a page where you can see detailed information and mark it as resolved.
Not seeing your error in Sentry? Make sure you're running the above example from a file and not from a Python shell like IPython.
Our documentation is open source and available on GitHub. Your contributions are welcome, whether fixing a typo (drat!) or suggesting an update ("yeah, this would be better").