Welcome to QHarbor documentation!

QHarbor is a framework that enables storing scientific datasets in a secure, organized, and simple way. DataQruiser is an application that allows you to visualize, search, browse, and organize your data. Qdrive is python package allows researchers to programmatically search, import, analyze and upload data.

Our objectives are:

• Data security & persistency: The centralized storage location (cloud/on-premises) ensures that all data are properly secured and backed up.

• Scalable and organized storage: Metadata are stored in a PostgreSQL database and files in an object store, ensuring high performance and unlimited storage. Datasets are organized in different scopes, each scope allows managing access permissions for different users. Each dataset can be labeled with attributes which can later be used for filtering and searching.

• Accessibility: The qDrive Python library allows synchronizing local datasets to the centralized storage and retrieving them for analysis in Python. The dataQruiser app allows you to visualize, search, browse, and organize your data. All plots are interactive and support streaming.

The server and storage can be hosted on-premises or in the cloud.

Getting Started

Below you find the latest documentation on our software packages. To install and set up the software, please follow the instructions belows:

• Installation & Setup
  • Installing the qDrive package
  • Running the Synchronization Agent
  • Using API-Tokens for Authentication
  • Updating the qDrive package
• Upload data to QHarbor
• Scopes
  • Viewing Available Scopes
  • Getting a scope by name (or uuid)
  • Setting and Getting the Default Scope
  • Setting the Default Scope in the GUI
• Datasets
  • Creating datasets
  • Files within a dataset
  • Retrieving datasets
  • Searching and filtering datasets
  • Data conversion policies
  • Uploading a folder as dataset
  • Copying dataset to another scope
  • Datasets in the DataQruiser App
• Run measurements with qDrive
  • Performing sweeps using the do0D, do1D and do2D functions.
  • Custom measurement loops
• Sync generic folder-based data
  • The _QH_dataset_info.yaml file
  • Programmatically creating the _QH_dataset_info.yaml file
  • Setting Up the synchronization agent
  • Creating your own file converters
  • Packaging Your Own Converter
• Sync data from common measurement frameworks
  • QCoDeS Synchronization
  • Quantify (QMI) Synchronization
  • Labber Synchronization
  • Core-Tools Synchronization
• Examples
• DataQruiser App Releases
  • DataQruiser 1.2.4 (2025-09-29)
  • DataQruiser 1.1.0 (2025-04-24)
  • DataQruiser 1.0.3 (2025-03-10)
  • DataQruiser 0.5.0 (2025-01-02)
  • DataQruiser 0.4.3 (2024-12-02)
  • DataQruiser 0.3.10 (2024-11-19)
  • DataQruiser 0.3.9 (2024-11-04)
  • DataQruiser 0.3.5 (2024-10-09)
  • DataQruiser 0.2.0-beta.5 (2024-07-18)
  • DataQruiser 0.1.4 (2024-03-15)
  • DataQruiser 0.1.2 (2024-01-11)
  • DataQruiser 0.1.1 (2023-12-18)
  • DataQruiser 0.1.0 (2023-12-07)

Need Help?

If you encounter any issues, have questions, or have ideas to suggest, don’t hesitate to get in touch with us though our github page.

Thank you for choosing qDrive. Let’s embark on a seamless and productive measurement journey together!