RideScan AI Python Package
Bring independent robot risk and performance insights directly into engineering workflows.
The RideScan AI Python package enables robotics engineers to integrate independent robot risk, anomaly, and performance insights directly into their existing development workflows.It is designed for teams evaluating, integrating, and deploying RideScan programmatically, without building safety and reliability tooling from scratch.
WHY A PYTHON PACKAGE
1. Integrate RideScan directly into robotics and autonomy codebases.
2. Support evaluation, testing, and iteration during development and deployment.
3. Enable engineer-controlled workflows without requiring dashboard usage.
WHO IT’S FOR
1. Robotics engineers.
2. Autonomy and controls teams.
3. R&D and deployment engineers.
INSTALLATION
The official RideScan Python SDK is available on PyPI and can be installed via pip: pip install ridescanapi
GETTING STARTED
Use of the RideScan AI Python package requires API access credentials issued by RideScan. The SDK provides programmatic access to the RideScan platform for professional engineering use in evaluation, pilot, and deployment environments.
WHY A PYTHON PACKAGE
1. Integrate RideScan directly into robotics and autonomy codebases.
2. Support evaluation, testing, and iteration during development and deployment.
3. Enable engineer-controlled workflows without requiring dashboard usage.
WHO IT’S FOR
1. Robotics engineers.
2. Autonomy and controls teams.
3. R&D and deployment engineers.
INSTALLATION
The official RideScan Python SDK is available on PyPI and can be installed via pip: pip install ridescanapi
GETTING STARTED
Use of the RideScan AI Python package requires API access credentials issued by RideScan. The SDK provides programmatic access to the RideScan platform for professional engineering use in evaluation, pilot, and deployment environments.
Discuss evaluation, pilot access, or engineering integration.
