Onepanel APP is a cloud-based platform for building, running, and managing computer vision and machine learning workflows using containers, pipelines, and collaborative workspaces.
Onepanel APP is an open-source, cloud-native MLOps platform designed to help teams build, deploy, and manage machine learning and computer vision workflows at scale. It provides an integrated environment for data scientists, ML engineers, and developers to orchestrate end-to-end pipelines, from experimentation to production, using Kubernetes as the underlying infrastructure. The platform focuses on reproducibility, automation, and collaboration across the entire ML lifecycle.
Key features include workflow orchestration with support for Kubeflow Pipelines, enabling users to define, schedule, and monitor complex ML workflows through a visual interface or code. Onepanel APP offers pre-configured, containerized workspaces (such as JupyterLab, VS Code, and terminal environments) that can be launched on demand with GPU support, allowing teams to standardize development environments and reduce setup overhead. It also supports data annotation and labeling for computer vision tasks, integrating this directly into the pipeline so labeled data flows seamlessly into training. Role-based access control, audit logs, and integration with existing cloud storage and compute resources help organizations manage security and compliance.
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