rerun-sdk

The Rerun Python Log SDK

Use the Rerun SDK to log data like images, tensors, point clouds, and text. Logs are streamed to the Rerun Viewer for live visualization or to file for later use.

Install

pip3 install rerun-sdk

ℹ️ Note: The Python module is called rerun, while the package published on PyPI is rerun-sdk.

Example

import rerun as rr
import numpy as np

rr.init("rerun_example_app", spawn=True)

positions = np.vstack([xyz.ravel() for xyz in np.mgrid[3 * [slice(-5, 5, 10j)]]]).T
colors = np.vstack([rgb.ravel() for rgb in np.mgrid[3 * [slice(0, 255, 10j)]]]).astype(np.uint8).T

rr.log("points3d", rr.Points3D(positions, colors=colors))

Resources

• Examples
• Python API docs
• Quick start
• Tutorial
• Troubleshooting
• Discord Server

Logging and viewing in different processes

You can run the viewer and logger in different processes.

In one terminal, start up a viewer with a server that the SDK can connect to:

python3 -m rerun

In a second terminal, run the example with the --connect option:

python3 python examples/python/plots/main.py --connect

---

From source

Setup:

• Install the Rust toolchain: https://rustup.rs/
• git clone [e-mail]:rerun-io/rerun.git && cd rerun
• Run ./scripts/setup_dev.sh.
• Make sure cargo --version prints 1.74.0 once you are done

Building

To build from source and install Rerun into your current Python environment run:

python3 -m pip install --upgrade pip
pip3 install -r rerun_py/requirements-build.txt
pip3 install "./rerun_py"

ℹ️ Note: If you are unable to upgrade pip to version >=21.3, you need to pass --use-feature=in-tree-build to the pip3 install command.

Development

To set up a new virtualenv for development:

just py-dev-env
# For bash/zsh users:
source venv/bin/activate
# Or if you're using fish:
source venv/bin/activate.fish

Build, test, and run

For ease of development you can build and install in "editable" mode. This means you can edit the rerun Python code without having to re-build and install to see changes.

# Build the SDK and install in develop mode into the virtualenv
# Re-run this if the Rust code has changed!
source venv/bin/activate
just py-build

Test

# Run the unit tests
just py-test

# Run the linting checks
just py-lint

# Run an example
python examples/python/minimal/main.py

Building an installable Python Wheel

The Python bindings to the core Rust library are built using https://github.com/PyO3/pyo3.

To build an installable Python wheel run:

pip install -r rerun_py/requirements-build.txt
maturin build -m rerun_py/Cargo.toml --release

By default the wheels will be built to target/wheels (use the -o flag to set a different output directory).

Now you can install rerun in any Python3 environment using:

pip3 install target/wheels/*.whl

Viewing the docs locally

The rerun python docs are generated using mkdocs

Install the doc requirements:

pip install -r rerun_py/requirements-doc.txt

Serve the docs:

mkdocs serve -f rerun_py/mkdocs.yml -w rerun_py

or

just py-docs-serve

For information on how the docs system works, see: docs/writing_docs.md

Troubleshooting

You can run with RUST_LOG=debug to get more output out of the rerun SDK.

If you are using an Apple-silicon Mac, make sure rustc -vV outputs host: aarch64-apple-darwin. If not, this should fix it:

rustup set default-host aarch64-apple-darwin && rustup install 1.74

If you want to switch back, this is how:

rustup set default-host x86_64-apple-darwin && rustup install 1.74