Installation¶
Thetis is installed via the Python Package Index (PyPI) using Python’s PIP-Tool. Simply type
$ pip install thetis
to install the right version of Thetis in your Python environment. The installer will directly choose the right wheel for installation.
You can also download a pre-built Wheel of Thetis and install it afterwards in your Python environment by typing
$ pip install <download folder>/thetis-<thetis version>-py3-<python tag>-<abi tag>-<platform tag>.whl
In this case, the user is responsible to download the right wheel for the desired Thetis version and the runtime environment that is used during application execution:
<thetis version> describes the desired application version of Thetis.
<python tag> describes the Python version which has been used for building the wheel (e.g., “cp38” stands for Python version 3.8).
<abi tag> describes the Application Binary Interface (ABI) version for which the wheel has been built (e.g., “cp38” stands for Python version 3.8).
<platform tag> describes the platform for which the application has been built (e.g, “manylinux” works for most Unix-based systems).
Getting started¶
To get started with Thetis, follow these steps:
Prepare your environment: Ensure you have a Python environment set up. Install Thetis using the instructions provided above.
Obtain a license: Thetis requires a license to operate. Free demo licenses are provided with the examples in this repository. For professional use or to analyze your own data, contact us at efs-techhub.com to obtain a license. Place the license file in your working directory or in the appropriate location based on your operating system.
Explore examples: Review our usage examples to understand how to use Thetis for different AI tasks.
Run your analysis: Integrate your AI model and data with Thetis, then perform the desired analysis. Refer to the detailed API documentation and configuration options for more information.
Issues & bugtracking¶
If you experience any issues during installation, running, or handling Thetis, please create an issue on the e:fs Github page and post the provided stack trace.