Default Integrations

System integrations are integrations enabled by default that integrate into the standard library or the interpreter itself. Sentry documents them so you can see what they do and that they can be disabled if they cause issues. To disable all system integrations, set default_integrations=False when calling init().


Import name: sentry_sdk.integrations.atexit.AtexitIntegration

This integrates with the interpreter's atexit system to automatically flush events from the background queue on interpreter shutdown. Typically, one does not need to disable this. Even if the functionality is not wanted, it's easier to disable it by setting the shutdown_timeout to 0 in the options passed to init().


Import name: sentry_sdk.integrations.excepthook.ExcepthookIntegration

This integration registers with the interpreter's except hook system. Through this, any exception that is unhandled will be reported to Sentry automatically. Note that exceptions raised in interactive interpreter sessions will not be reported.


You can pass the following keyword arguments to ExcepthookIntegration():

  • always_run:

    $ python
    >>> import sentry_sdk
    >>> from sentry_sdk.integrations.excepthook import ExcepthookIntegration
    >>> sentry_sdk.init(..., integrations=[ExcepthookIntegration(always_run=True)])
    >>> raise Exception("I will become an error")

    By default, the SDK does not capture errors occurring in the REPL (always_run=False).


Import name: sentry_sdk.integrations.dedupe.DedupeIntegration

This integration deduplicates certain events. The Sentry Python SDK enables it by default, and it should not be disabled except in rare circumstances. Disabling this integration, for instance, will cause duplicate error logging in the Flask framework.


Import name: sentry_sdk.integrations.stdlib.StdlibIntegration

The stdlib integration instruments certain modules in the standard library to emit breadcrumbs. The Sentry Python SDK enables this by default, and it rarely makes sense to disable.

  • Any outgoing HTTP request done with httplib will result in a breadcrumb being logged. urllib3 and requests use httplib under the hood, so HTTP requests from those packages should be covered as well.

  • Subprocesses spawned with the subprocess module will result in a breadcrumb being logged.


Import name: sentry_sdk.integrations.modules.ModulesIntegration

Sends a list of installed Python packages along with each event.


Import name: sentry_sdk.integrations.argv.ArgvIntegration

Adds sys.argv as an extra attribute to each event.


Import name: sentry_sdk.integrations.logging.LoggingIntegration

See Logging


Import name: sentry_sdk.integrations.threading.ThreadingIntegration

Reports crashing threads.

It also accepts an option propagate_hub that changes the way clients are transferred between threads, and transfers scope data (such as tags) from the parent thread to the child thread. This option is currently disabled (False) by default, but this will likely change in the future.

Next are two code samples that demonstrate what boilerplate you would have to write without propagate_hub. This boilerplate is still sometimes necessary if you want to propagate context data into a thread pool, for example.

Manual propagation

import threading
from sentry_sdk import Hub, init, set_tag, capture_message


set_tag("mydata", 42)

def run(thread_hub):
    with thread_hub:
        capture_message("hi")  # event will have `mydata` tag attached

# We take all context data (the tags map and even the entire client
# configuration), and pass it as explicit variable
# into the thread.
thread_hub = Hub(Hub.current)

tr = threading.Thread(target=run, args=[thread_hub])

Example B: Automatic propagation

import threading

from sentry_sdk import Hub, init, set_tag, capture_message
from sentry_sdk.integrations.threading import ThreadingIntegration


set_tag("mydata", 42)

def run():
    capture_message("hi")  # event will have `mydata` tag attached

# The threading integration hooks into the stdlib to automatically pass
# existing context data when a `Thread` is instantiated.
tr = threading.Thread(target=run)
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