The Upsonic is designed to help data scientists and ML engineers efficiently manage and automate maintenance-free utility library creation. It provides a simple, easy-to-use Python interface to interact with the Upsonic platform. Website | Discord | Twitter
- Easy serialization of functions and classes, making them readily available for reuse across different projects.
- Automatic documentation generation for effortless maintenance and readability.
- Support for both direct and modular function importation from the library.
- Streamlined version control and collaboration features, allowing teams to work together seamlessly.
Usponic proveides an dashboard for your team members. Everyone can access to the dashboard by their user status. After the accessing they can easily view the top libraries and automaticaly generated connections codes.
In Upsonic On-Prem dashboard we have automaticaly generated documentation for your each function, class, object or variables. For this you can use OpenAI GPT integration or a self-hosted Google Gemma model in your installation. They are making your documentations automaticaly. Also you can easily search your content.
- Documentation
- Time Complexity
- Mistakes
- Required Test Tyoes
- Security Analyses
- Tags
You need to install the Upsonic container.
Installing and Running On-Prem Container
Once the container is up and running, you can install the Upsonic Python Client Library on your local system using the pip package manager:
# pip install upsonic
Here's an updated quickstart guide to get you up and running with your container:
from upsonic import UpsonicOnPrem
upsonic = UpsonicOnPrem('https://your-server-address:5000', 'ACK_****************')
def sum(a, b):
return a + b
upsonic.dump("math.basics.sum", sum)
math = upsonic.load_module("math")
math.basics.sum(5, 2)
You can find detailed documentation, including advanced usage and API reference, in the official Upsonic Documentation .
We welcome contributions to the Upsonic Python Client Library!
For any questions or if you encounter an issue, please reach out to our support team at [email protected] or open an issue on the project's GitHub page.
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