The Tolvex Programming Language

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Tolvex is a programming language purpose-built for healthcare, designed to transform medical analytics with unparalleled ease, speed, and security. With a beginner-friendly syntax inspired by Python and R, high performance rivaling Julia, Rust, and C++, and native support for healthcare standards like FHIR, HL7, and DICOM, Tolvex empowers clinicians, researchers, and developers to unlock insights from complex medical data.

From genomic analysis to real-time patient monitoring, clinical trials to hospital operations, Tolvex delivers secure, scalable, and clinician-friendly solutions.

Note: Tolvex was previously known as "Medi". The language, compiler, and tooling were renamed in v0.1.6. See the CHANGELOG for migration details.

Why Tolvex?

Healthcare demands tools that balance accessibility, performance, security, and compliance. Existing languages fall short:

• Python/R: Versatile but slow for big data, lack native healthcare standards, and require complex integrations.
• SAS/Stata: Expensive, proprietary, and cumbersome for modern workflows.
• Julia: Fast but not healthcare-specific, with a smaller ecosystem.

Tolvex fills these gaps with:

Challenge	Tolvex's Solution
Performance on big data	LLVM-compiled, near-C++ speed
Healthcare standards	Native FHIR, HL7, DICOM, genomics (FASTQ, VCF)
Compliance	Built-in regulate blocks, PHI tracking, HIPAA/GDPR automation
Edge/IoT deployment	WebAssembly, RISC-V targets for wearables and medical devices
Accessibility	Clinician-friendly syntax, visual IDE

Key Features

• Beginner-Friendly Syntax: Python-like readability with R-style data pipelines (|>). Declarative constructs like fhir_query and plot_kaplan_meier simplify complex tasks.
• High Performance: Compiled to machine code via LLVM. Supports parallel processing, GPU acceleration (CUDA/OpenCL), and targets x86-64, WebAssembly, and RISC-V.
• Medical Data Science & AI: Built-in statistical methods (kaplan_meier, sir_model), pre-trained models for diagnostics, federated learning for privacy-preserving analytics.
• Privacy & Compliance: federated and dp constructs for differential privacy. regulate blocks for automated HIPAA/GDPR/FDA compliance checks.
• Healthcare Interoperability: Native FHIR, HL7, DICOM support. Integration with Python (py_call), R (r_call), and healthcare systems (Epic, Cerner, AWS HealthLake).

Example

// Query patients with diabetes and analyze outcomes
let diabetic_patients = fhir_query("Patient")
    |> filter(condition: icd10("E11"))  // Type 2 diabetes
    |> join(observations: "HbA1c");

// Run survival analysis with compliance checks
regulate { standard: "HIPAA", checks: ["phi_protected"] };
let survival = kaplan_meier(diabetic_patients, event: "hospitalization");
plot_kaplan_meier(survival, title: "Diabetes Outcomes");

Quick Start

# Clone and build
git clone https://github.com/Tolvex/tolvex.git
cd tolvex
cargo build --workspace

# Run tests
cargo test --workspace

# Compile a Tolvex program
tlvxc --emit=x86_64 --out=program.o example.tlvx

Current Status

Component	Status
Lexer / Parser / AST	✅ Done
Type System (inference, healthcare types, privacy annotations)	✅ Done
LLVM Backend (x86-64, WASM, RISC-V)	✅ Done
Memory Management (GC, borrow checker, real-time zones)	✅ Done
Standard Library (tolvex_data, tolvex_stats, tolvex_compliance, tolvex_ai)	✅ Done
Privacy/Compliance Checker (HIPAA, PHI flow analysis)	✅ Done
Basic IDE (syntax highlighting, code completion)	✅ Done
Example Use Cases	✅ Done
Documentation & Benchmarks	🔄 In Progress
CLI Compiler (tlvxc)	✅ Done
REPL	✅ Done
Package Manager	✅ Done
Python FFI	✅ Done

Project Structure

tolvex/
├── compiler/          # Rust compiler crates (tlvxc_lexer, tlvxc_parser, etc.)
├── stdlib/            # Standard library (tolvex_data, tolvex_stats, tolvex_compliance, tolvex_ai)
├── tests/             # Integration tests
├── examples/          # Example programs (.tlvx)
└── docs/              # Documentation (MkDocs)

See docs/content/technical/file-structure.md for details.

Contributing

We welcome contributions! See CONTRIBUTING.md for guidelines.

Focus areas: compiler development, standard library, IDE, RISC-V support, healthcare use cases.

License

MIT License. See LICENSE.

Community

• X: @TolvexLang
• Discord: discord.gg/JxE6dD285R
• GitHub: github.com/Tolvex/tolvex

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Join us in revolutionizing healthcare analytics with Tolvex!