Judge0 - Code Execution Made Simple for Every Business

# Judge0 - Code execution made simple for every business > Judge0 is a robust open-source online code execution system with an HTTP JSON API for running code in a secure, sandboxed environment. It enables reliable, fast, and scalable execution of code across 60+ programming languages and frameworks, making it a powerful foundation for both human and AI-driven workflows. As an online code execution engine, Judge0 supports competitive programming, e-learning platforms, candidate assessment, recruitment platforms, online IDEs, AI-agents, and autonomous agentic code execution. Its secure sandbox ensures isolation and safety, which is critical for security testing, candidate assessment, interview preparation, and automated evaluation of untrusted or AI-generated code. Judge0’s open-source nature and modular architecture make it extensible, self-hostable, and suitable for both lightweight educational use cases and enterprise-scale deployments. Judge0 is trusted by hundreds of organizations and universities worldwide. Its clients range from startups and online education platforms to established enterprises and academic institutions. Key Benefits: - **Open Source & Self-Hostable**: Complete control over your code execution environment - **Secure Sandboxed Execution**: Isolated environment for safe code execution - **AI-Ready**: Perfect for AI agents, autonomous code execution, and LLM integrations - **Enterprise Scale**: Scalable architecture supporting both self-hosted and cloud deployments via Judge0 Cloud platform - **Multi-Language Support**: Execute code in 60+ programming languages and frameworks Features: - RESTful HTTP JSON API for seamless integration - Online sandboxed compilation and execution environment - Custom input, compiler options, command-line arguments, and resource limits - Detailed execution results with stdout, stderr, and compilation output - Webhooks for asynchronous processing and notifications - Additional file support alongside user programs