Skip to main content

Software Development Kit - SDK for DoData

Project description

GDSFactory Hub 0.1.11

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

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).

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 support Python 3.11, 3.12, and 3.13 and recommend VSCode IDE and uv. If you don't have uv install it with the following command:

# 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 install GDSFactory Hub with:

uv pip install "gdsfactoryhub" --upgrade

Or add it to the dependencies of your current project with:

uv add gdsfactoryhub

Setup

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

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 from your activated virtual environment.

  • 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.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

gdsfactoryhub-0.1.11-py3-none-any.whl (25.4 kB view details)

Uploaded Python 3

File details

Details for the file gdsfactoryhub-0.1.11-py3-none-any.whl.

File metadata

  • Download URL: gdsfactoryhub-0.1.11-py3-none-any.whl
  • Upload date:
  • Size: 25.4 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for gdsfactoryhub-0.1.11-py3-none-any.whl
Algorithm Hash digest
SHA256 7c3eb326252d2093213ee34d2df7614c529213898aafe53e8d627bcb887ae194
MD5 6302dd699025493c894113c25c692b37
BLAKE2b-256 acbac5c51f05e44520839b996389b92f9c5a737dde895361700e835bddec856b

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page