A first visual representation of a graph editor for designing and managing LSL pipelines is now available.

Key Features​

• Visual Pipeline Design: Design LSL pipelines visually using a graph-based interface.
• Interactive Preview: View your pipeline design in action with an interactive preview feature.

Development Status​

The project is actively developed by David Cebulla, a business informatics student at the University of Mannheim, as part of his Bachelor Thesis. The goal is to translate visual graph representations into corresponding LSL pipelines efficiently.

Preview​

Visit the Project Website: Explore the preview version of LSLFlow here: LSLFlow

We're excited to share that our efforts to support Python in the LASSO platform are gaining momentum! A first version of the arena test driver for Python is now available on GitHub, accessible at https://github.com/SoftwareObservatorium/arena-python.

Key Features

Our current development includes support for essential data structures used in LASSO:

• LQL: Our Lasso Query Language (LQL) implementation allows you to represent interfaces in a concise and readable manner.
• SSN: Sequence sheet notation is also supported, providing a convenient way to work with biological sequences.
• Stimulus Response Matrices: We've integrated the use of pandas DataFrames to create and manipulate these matrices.

What's Next

We're working on integrating our Python support into the LASSO platform, specifically the LSL pipeline language. This will enable you to leverage the full power of LASSO in your Python workflows.

Explore Our Examples

Get hands-on experience with our Python implementation using Jupyter Notebooks:

• https://github.com/SoftwareObservatorium/arena-python/tree/main/notebooks

Additionally, you can explore the system tests for the arena API in our GitHub repository:

• https://github.com/SoftwareObservatorium/arena-python/tree/main/tests

Exciting news, everyone! We are thrilled to announce the launch of the brand new website for LASSO, the Large-Scale Software Observatorium for the Dynamic Selection, Analysis and Comparison of Software.

The new website features:

• A clean and modern design: Easier to navigate and visually appealing.
• Detailed project documentation: Get a comprehensive understanding of LASSO's features, functionality, and how to use it effectively.
• A vibrant community section: Connect with other LASSO users, share your experiences, and contribute to the project's growth.

Regular blog updates: Stay informed about the latest developments, news, and insights related to LASSO.

With the new website, we aim to:

• Make LASSO more accessible to a wider audience.
• Foster a stronger sense of community around the project.
• Encourage contributions and collaboration from developers and users alike.

Explore everything LASSO has to offer. We encourage you to leave your feedback, ask questions, and join the growing community of LASSO users (Contact Us).