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Software Development Kit - SDK for DoData

Project description

GDSFactory Hub 0.1.9

In chip design, you need to efficiently manage multiple types of data, including:

  • Simulations
  • Layouts
  • Verification results (DRC, LVS, etc.)
  • Measurements
  • Yield and qualification data

data-wave

GDSFactory Hub provides a cutting-edge data storage solution designed specifically for the complexities of chip design. Our platform seamlessly integrates into your existing workflow, offering a scalable, efficient, and organized way to store, manage, and analyze all your critical data.

By using GDSFactory Hub, you can enhance efficiency, improve collaboration, and streamline your design process.

This tool requires an active GDSFactory+ subscription. To learn more, visit [GDSFactory.com](https://GDSFactory.com).

data-types

device-die-wafer

Database Relationships

GDSFactory Hub uses a structured database schema that captures the relationships between different entities in chip design:

flowchart LR
    A["project"]
    A --> B["cell"]
    B --> C["device"]
    C --> D["device_data"]
    D --> E["analysis"]
    A --> F["wafer"]
    F --> G["die"]
    G --> D
    H["function"] --> E

This relationship model allows you to:

  • Filter across relationships: Query device data by project, wafer, or cell attributes
  • Trace data lineage: Follow the path from analysis results back to the original project
  • Perform complex queries: Filter analyses by device characteristics, wafer properties, or project settings

Installation

We only support Python 3.11, 3.12 or 3.13 and recommend VSCode IDE and UV. You can install UV on a terminal with the following commands:

# On macOS and Linux.
curl -LsSf https://astral.sh/uv/install.sh | sh
# On Windows.
powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex"

Then you can install GDSFactory Hub with:

uv pip install "gdsfactoryhub" --upgrade

Or just use

uv add gdsfactoryhub

To add it to the dependencies of your current project.

Setup

Ensure you create a .env file in your working directory with the following contents:

GDSFACTORY_HUB_API_URL="https://{org}.gdsfactoryhub.com"
GDSFACTORY_HUB_QUERY_URL="https://query.{org}.gdsfactoryhub.com"
GDSFACTORY_HUB_KEY="<same api key as in GDSFactory+>"

The .env file should be placed in the project where you run the notebooks.

Run notebooks

To run the notebooks, you can use either VSCode or JupyterLab:

  • VSCode: Ensure you select the same Conda Python interpreter where the packages were installed.
  • JupyterLab: Launch JupyterLab by running jupyter-lab from the same terminal used for the installation.

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