ProvableHQ/leo
Leo
Leo is a zero-knowledge proof programming language and a formally verified language designed to prove the mathematical correctness of application logic and cryptographic circuits. It serves as a private application framework and a ZK-circuit compiler that transforms high-level source code into the low-level constraints required to generate and verify zero-knowledge proofs.
The project provides a toolset for zero-knowledge application development and ZK circuit engineering, enabling the creation of private smart contract logic. It allows developers to write high-level code that compiles into cryptographic circuits to generate private, verifiable proofs of computation.
The framework includes capabilities for formally verified programming, allowing users to compile code into circuits, execute private programs, and verify logic accuracy through testing.
Features
- Formally Verified Programming - Enables developing software with mathematical certainty that the logic is correct.
- ZK Circuit - Provides a compiler that transforms high-level source code into cryptographic arithmetic circuits.
- Circuit Optimization - Transforms complex business logic into optimized circuits for efficient proof generation.
- Compile-Time Correctness Verification - Uses static analysis and type checking to ensure logical correctness before circuit compilation.
- Formal Logic Mappings - Maps programming language constructs to mathematical polynomials to ensure provable execution.
- Formally Verified Languages - Provides a programming environment designed to prove the mathematical correctness of application logic.
- Confidential Smart Contracts - Supports the creation of blockchain logic that verifies data without revealing private information.
- Private Application Frameworks - Offers tools for developing and executing programs that validate outputs while keeping data private.
- Zero-Knowledge Proof Frameworks - Provides a framework for writing high-level code that compiles into ZK circuits for private applications.
- ZK Programming Languages - Provides a high-level language for writing code that compiles into cryptographic circuits.
- Constraint-Based Logic Engines - Validates program logic by ensuring input values satisfy predefined algebraic constraints.
- Bytecode Virtual Machines - Implements a custom execution environment to simulate zero-knowledge circuit behavior via bytecode instructions.
- Intermediate Representation Translation - Converts abstract syntax trees into a low-level instruction set compatible with circuit constraints.
- Program Execution - Allows for the execution of compiled instructions to validate the logic and outputs of private programs.
- Circuit Logic Testing - Provides unit tests and integration checks to confirm that circuits produce correct results.
Star history
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