Initialization functions

`rerun`

`def init(application_id, *, recording_id=None, spawn=False, init_logging=True, default_enabled=True, strict=None, default_blueprint=None)`

Initialize the Rerun SDK with a user-chosen application id (name).

You must call this function first in order to initialize a global recording. Without an active recording, all methods of the SDK will turn into no-ops.

For more advanced use cases, e.g. multiple recordings setups, see rerun.new_recording.

Warning

If you don't specify a recording_id, it will default to a random value that is generated once at the start of the process. That value will be kept around for the whole lifetime of the process, and even inherited by all its subprocesses, if any.

This makes it trivial to log data to the same recording in a multiprocess setup, but it also means that the following code will not create two distinct recordings:

rr.init("my_app")
rr.init("my_app")

To create distinct recordings from the same process, specify distinct recording IDs:

from uuid import uuid4
rr.init("my_app", recording_id=uuid4())
rr.init("my_app", recording_id=uuid4())

PARAMETER	DESCRIPTION
`application_id`	Your Rerun recordings will be categorized by this application id, so try to pick a unique one for each application that uses the Rerun SDK. For example, if you have one application doing object detection and another doing camera calibration, you could have `rerun.init("object_detector")` and `rerun.init("calibrator")`. Application ids starting with `rerun_example_` are reserved for Rerun examples, and will be treated specially by the Rerun Viewer. In particular, it will opt-in to more analytics, and will also seed the global random number generator deterministically. TYPE: `str`
`recording_id`	Set the recording ID that this process is logging to, as a UUIDv4. The default recording_id is based on `multiprocessing.current_process().authkey` which means that all processes spawned with `multiprocessing` will have the same default recording_id. If you are not using `multiprocessing` and still want several different Python processes to log to the same Rerun instance (and be part of the same recording), you will need to manually assign them all the same recording_id. Any random UUIDv4 will work, or copy the recording id for the parent process. TYPE: `Optional[str]` DEFAULT: `None`
`spawn`	Spawn a Rerun Viewer and stream logging data to it. Short for calling `spawn` separately. If you don't call this, log events will be buffered indefinitely until you call either `connect`, `show`, or `save` TYPE: `bool` DEFAULT: `False`
`default_enabled`	Should Rerun logging be on by default? Can be overridden with the RERUN env-var, e.g. `RERUN=on` or `RERUN=off`. TYPE: `bool` DEFAULT: `True`
`init_logging`	Should we initialize the logging for this application? TYPE: `bool` DEFAULT: `True`
`strict`	If `True`, an exception is raised on use error (wrong parameter types, etc.). If `False`, errors are logged as warnings instead. If unset, this can alternatively be overridden using the RERUN_STRICT environment variable. If not otherwise specified, the default behavior will be equivalent to `False`. TYPE: `bool \| None` DEFAULT: `None`
`default_blueprint`	Optionally set a default blueprint to use for this application. If the application already has an active blueprint, the new blueprint won't become active until the user clicks the "reset blueprint" button. If you want to activate the new blueprint immediately, instead use the `rerun.send_blueprint` API. TYPE: `BlueprintLike \| None` DEFAULT: `None`

`def connect(addr=None, *, flush_timeout_sec=2.0, default_blueprint=None, recording=None)`

Connect to a remote Rerun Viewer on the given ip:port.

Requires that you first start a Rerun Viewer by typing 'rerun' in a terminal.

This function returns immediately.

PARAMETER	DESCRIPTION
`addr`	The ip:port to connect to TYPE: `str \| None` DEFAULT: `None`
`flush_timeout_sec`	The minimum time the SDK will wait during a flush before potentially dropping data if progress is not being made. Passing `None` indicates no timeout, and can cause a call to `flush` to block indefinitely. TYPE: `float \| None` DEFAULT: `2.0`
`default_blueprint`	Optionally set a default blueprint to use for this application. If the application already has an active blueprint, the new blueprint won't become active until the user clicks the "reset blueprint" button. If you want to activate the new blueprint immediately, instead use the `rerun.send_blueprint` API. TYPE: `BlueprintLike \| None` DEFAULT: `None`
`recording`	Specifies the `rerun.RecordingStream` to use. If left unspecified, defaults to the current active data recording, if there is one. See also: `rerun.init`, `rerun.set_global_data_recording`. TYPE: `RecordingStream \| None` DEFAULT: `None`

`def disconnect(recording=None)`

Closes all TCP connections, servers, and files.

Closes all TCP connections, servers, and files that have been opened with [rerun.connect], [rerun.serve], [rerun.save] or [rerun.spawn].

PARAMETER	DESCRIPTION
`recording`	Specifies the `rerun.RecordingStream` to use. If left unspecified, defaults to the current active data recording, if there is one. See also: `rerun.init`, `rerun.set_global_data_recording`. TYPE: `RecordingStream \| None` DEFAULT: `None`

`def save(path, default_blueprint=None, recording=None)`

Stream all log-data to a file.

Call this before you log any data!

PARAMETER	DESCRIPTION
`path`	The path to save the data to. TYPE: `str \| Path`
`default_blueprint`	Optionally set a default blueprint to use for this application. If the application already has an active blueprint, the new blueprint won't become active until the user clicks the "reset blueprint" button. If you want to activate the new blueprint immediately, instead use the `rerun.send_blueprint` API. TYPE: `BlueprintLike \| None` DEFAULT: `None`
`recording`	Specifies the `rerun.RecordingStream` to use. If left unspecified, defaults to the current active data recording, if there is one. See also: `rerun.init`, `rerun.set_global_data_recording`. TYPE: `RecordingStream \| None` DEFAULT: `None`

`def send_blueprint(blueprint, *, make_active=True, make_default=True, recording=None)`

Create a blueprint from a BlueprintLike and send it to the RecordingStream.

PARAMETER	DESCRIPTION
`blueprint`	A blueprint object to send to the viewer. TYPE: `BlueprintLike`
`make_active`	Immediately make this the active blueprint for the associated `app_id`. Note that setting this to `false` does not mean the blueprint may not still end up becoming active. In particular, if `make_default` is true and there is no other currently active blueprint. TYPE: `bool` DEFAULT: `True`
`make_default`	Make this the default blueprint for the `app_id`. The default blueprint will be used as the template when the user resets the blueprint for the app. It will also become the active blueprint if no other blueprint is currently active. TYPE: `bool` DEFAULT: `True`
`recording`	Specifies the `rerun.RecordingStream` to use. If left unspecified, defaults to the current active data recording, if there is one. See also: `rerun.init`, `rerun.set_global_data_recording`. TYPE: `RecordingStream \| None` DEFAULT: `None`

`def serve(*, open_browser=True, web_port=None, ws_port=None, default_blueprint=None, recording=None, server_memory_limit='25%')`

Serve log-data over WebSockets and serve a Rerun web viewer over HTTP.

You can also connect to this server with the native viewer using rerun localhost:9090.

The WebSocket server will buffer all log data in memory so that late connecting viewers will get all the data. You can limit the amount of data buffered by the WebSocket server with the server_memory_limit argument. Once reached, the earliest logged data will be dropped. Note that this means that static data may be dropped if logged early (see https://github.com/rerun-io/rerun/issues/5531).

This function returns immediately.

PARAMETER	DESCRIPTION
`open_browser`	Open the default browser to the viewer. TYPE: `bool` DEFAULT: `True`
`web_port`	The port to serve the web viewer on (defaults to 9090). TYPE: `int \| None` DEFAULT: `None`
`ws_port`	The port to serve the WebSocket server on (defaults to 9877) TYPE: `int \| None` DEFAULT: `None`
`default_blueprint`	Optionally set a default blueprint to use for this application. If the application already has an active blueprint, the new blueprint won't become active until the user clicks the "reset blueprint" button. If you want to activate the new blueprint immediately, instead use the `rerun.send_blueprint` API. TYPE: `BlueprintLike \| None` DEFAULT: `None`
`recording`	Specifies the `rerun.RecordingStream` to use. If left unspecified, defaults to the current active data recording, if there is one. See also: `rerun.init`, `rerun.set_global_data_recording`. TYPE: `RecordingStream \| None` DEFAULT: `None`
`server_memory_limit`	Maximum amount of memory to use for buffering log data for clients that connect late. This can be a percentage of the total ram (e.g. "50%") or an absolute value (e.g. "4GB"). TYPE: `str` DEFAULT: `'25%'`

`def spawn(*, port=9876, connect=True, memory_limit='75%', hide_welcome_screen=False, default_blueprint=None, recording=None)`

Spawn a Rerun Viewer, listening on the given port.

This is often the easiest and best way to use Rerun. Just call this once at the start of your program.

You can also call rerun.init with a spawn=True argument.

PARAMETER	DESCRIPTION
`port`	The port to listen on. TYPE: `int` DEFAULT: `9876`
`connect`	also connect to the viewer and stream logging data to it. TYPE: `bool` DEFAULT: `True`
`memory_limit`	An upper limit on how much memory the Rerun Viewer should use. When this limit is reached, Rerun will drop the oldest data. Example: `16GB` or `50%` (of system total). TYPE: `str` DEFAULT: `'75%'`
`hide_welcome_screen`	Hide the normal Rerun welcome screen. TYPE: `bool` DEFAULT: `False`
`recording`	Specifies the `rerun.RecordingStream` to use if `connect = True`. If left unspecified, defaults to the current active data recording, if there is one. See also: `rerun.init`, `rerun.set_global_data_recording`. TYPE: `RecordingStream \| None` DEFAULT: `None`
`default_blueprint`	Optionally set a default blueprint to use for this application. If the application already has an active blueprint, the new blueprint won't become active until the user clicks the "reset blueprint" button. If you want to activate the new blueprint immediately, instead use the `rerun.send_blueprint` API. TYPE: `BlueprintLike \| None` DEFAULT: `None`

`def memory_recording(recording=None)`

Streams all log-data to a memory buffer.

This can be used to display the RRD to alternative formats such as html. See: rerun.notebook_show.

PARAMETER	DESCRIPTION
`recording`	Specifies the `rerun.RecordingStream` to use. If left unspecified, defaults to the current active data recording, if there is one. See also: `rerun.init`, `rerun.set_global_data_recording`. TYPE: `RecordingStream \| None` DEFAULT: `None`

RETURNS	DESCRIPTION
`MemoryRecording`	A memory recording object that can be used to read the data.

`def notebook_show(*, width=None, height=None, blueprint=None, recording=None)`

Output the Rerun viewer in a notebook using IPython IPython.core.display.HTML.

Any data logged to the recording after initialization will be sent directly to the viewer.

Note that this can be called at any point during cell execution. The call will block until the embedded viewer is initialized and ready to receive data. Thereafter any log calls will immediately send data to the viewer.

PARAMETER	DESCRIPTION
`width`	The width of the viewer in pixels. TYPE: `int` DEFAULT: `None`
`height`	The height of the viewer in pixels. TYPE: `int` DEFAULT: `None`
`blueprint`	A blueprint object to send to the viewer. It will be made active and set as the default blueprint in the recording. Setting this is equivalent to calling `rerun.send_blueprint` before initializing the viewer. TYPE: `BlueprintLike` DEFAULT: `None`
`recording`	Specifies the `rerun.RecordingStream` to use. If left unspecified, defaults to the current active data recording, if there is one. See also: `rerun.init`, `rerun.set_global_data_recording`. TYPE: `RecordingStream \| None` DEFAULT: `None`

`def legacy_notebook_show(*, width=DEFAULT_WIDTH, height=DEFAULT_HEIGHT, app_url=None, timeout_ms=DEFAULT_TIMEOUT, blueprint=None, recording=None)`

Output the Rerun viewer in a notebook using IPython IPython.core.display.HTML.

This is a legacy function that uses a limited mechanism of inlining an RRD into a self-contained HTML template that loads the viewer in an iframe.

In general, rerun.notebook_show should be preferred. However, this function can be useful in some systems with incomplete support for the anywidget library.

PARAMETER	DESCRIPTION
`width`	The width of the viewer in pixels. TYPE: `int` DEFAULT: `DEFAULT_WIDTH`
`height`	The height of the viewer in pixels. TYPE: `int` DEFAULT: `DEFAULT_HEIGHT`
`app_url`	Alternative HTTP url to find the Rerun web viewer. This will default to using `https://app.rerun.io` or localhost if rerun.start_web_viewer_server has been called. TYPE: `str` DEFAULT: `None`
`timeout_ms`	The number of milliseconds to wait for the Rerun web viewer to load. TYPE: `int` DEFAULT: `DEFAULT_TIMEOUT`
`blueprint`	The blueprint to display in the viewer. TYPE: `BlueprintLike` DEFAULT: `None`
`recording`	Specifies the `rerun.RecordingStream` to use. If left unspecified, defaults to the current active data recording, if there is one. See also: `rerun.init`, `rerun.set_global_data_recording`. TYPE: `RecordingStream \| None` DEFAULT: `None`