L++

Let's Program Life.

Learn to code L++, the language built for students, educators, and researchers to computationally describe biological processes and living organisms.

Learn the language the way it was built.

To build the essential skills needed to build your first organism, follow the official video tutorials and documentation created by the original developers, which are designed to introduce L++'s new programming paradigm to model biosystems in an intuitive way.

Crash Course

Follow our tutorials to begin coding basic chemical reactions to modularized pathways and cells. This course is designed to show the potential of L++ in describing complex biosystems.

Language Docs

To learn L++ syntax, refer to our online syntax manual and language documentation files. This section comprehensively covers the language's actual syntax.

Why L++

Currently existing programming languages are limited in describing biosystems at a large scale. These markup languages for computational biomodeling are often designed to describe biochemical processes at a pathway level and contain cryptic, unreadable, unmodular code.

L++ is a new high-level, biology-oriented, typeless programming language. It abstracts away microscopic interactions at a programmer’s level, allowing scientists to clearly and concisely describe biosystems and molecular relationships while providing remarkable insight into intricate simulations when necessary. Familiar, easy-to-read syntax with dedicated molecular structure abstractions accurately represent a system's states and all of its moving parts from a modular perspective to maximize code reuse.

Built in and for the minds of...

Classrooms

can effectively learn and communicate ideas in biology and chemistry through the description and simulation of structures and processes.

Researchers

can easily experiment across fully customizable environments, capturing potential results in high resolution and quick, robust testing trials.

Clinicians

can easily document medical records and perform further analysis, diagnoses, and simulation on patient information.

Industry Leaders

can continue paving the way with new groundbreaking biotech by designing experimental scalable systems that can be flexibly simulated on.