Python
Sentry's Python SDK enables automatic reporting of errors and performance data in your application.
- You need a Sentry account and project
- Read one of our dedicated guides if you use any of the frameworks we support
Select which Sentry features you'd like to install in addition to Error Monitoring to get the corresponding installation and configuration instructions below.
Install the Sentry 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 select 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").