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About Grapa

What is Grapa?

Grapa is a modern, grammar-based programming language and data processing platform designed for unlimited precision, true parallelism, and seamless Python integration. It is ideal for data engineers, educators, researchers, and anyone who needs high-performance ETL, language experimentation, or advanced scripting.

Key Features

  • Unlimited Precision: Arbitrary-precision math for $INT, $FLOAT, $TIME
  • True Parallelism: Production-ready parallel ETL/data processing (map/reduce/filter, $thread, $net)
  • Comprehensive Vector Operations: Complete matrix operations, linear algebra, statistical functions, and creative capabilities
  • Machine Learning: Linear regression, statistical analysis, and ML algorithms using optimized vector operations
  • Advanced Pattern Matching: 100% ripgrep compatibility with binary data support and Unicode awareness
  • Comprehensive Cryptography: Production-ready cryptographic capabilities with OpenSSL 3.5.2 integration (RSA, EC, DH, AES, hash functions, key exchange, digital signatures)
  • Unified File/Database API: Seamless navigation and processing of files and databases
  • Python Integration: Use GrapaPy for idiomatic, high-performance scripting and data workflows
  • Executable BNF & Mutable Grammar: Define and experiment with grammars at runtime
  • Education & Prototyping: Rapidly prototype languages, teach compiler concepts, and experiment with meta-programming
  • Cross-Platform: Windows, macOS (Apple Silicon), Linux, AWS, and more

Who Should Use Grapa?

  • Data Engineers & Scientists: For high-throughput ETL, analytics, and automation
  • Machine Learning Practitioners: For linear regression, statistical analysis, and ML prototyping
  • Mathematical Computing Users: For comprehensive vector operations, linear algebra, and statistical analysis
  • Security Engineers & Cryptographers: For cryptographic operations, key management, and security applications
  • Binary Analysis & Forensics: For advanced pattern matching with binary data support
  • Educators & Researchers: For teaching, language prototyping, and meta-programming
  • Python/CLI Power Users: For offloading heavy data processing or integrating with existing workflows
  • Anyone needing:
  • Unlimited precision math
  • Parallel/concurrent scripting
  • Machine learning and statistical analysis
  • Comprehensive vector and matrix operations
  • Advanced pattern matching with binary data support
  • Cryptographic operations and security applications
  • Unified file/database access
  • Custom language/grammar experimentation

Why/When to Use Grapa?

  • When you need to process large data sets with true parallelism
  • When you want to implement machine learning algorithms with optimized vector operations
  • When you need comprehensive vector and matrix operations with creative function application
  • When you need advanced pattern matching with binary data support and Unicode awareness
  • When you need production-ready cryptographic operations with OpenSSL 3.5.2 integration
  • When you want to experiment with grammars, compilers, or language design
  • When Python’s GIL or precision limits are a bottleneck
  • When you want a scripting language that is both high-level and deeply extensible
  • When you need to unify file, database, and scripting workflows
  • For a detailed comparison with other languages, see Grapa in the Ecosystem

High-Level Architecture & Feature Map

[A visual diagram will be added here in the future. For now, see the summary below.]

  • Core Language: Grammar-based, block-structured, unlimited precision
  • Execution Model: Dynamic code execution, execution trees, meta-programming
  • Parallelism: Built-in support for parallel map/filter/reduce, $thread, $net
  • Unified Path System: Navigate seamlessly between file systems and databases
  • Integration: Python (GrapaPy), CLI, extensible via modules
  • Cross-Platform: Windows, macOS (Apple Silicon), Linux, AWS

Documentation Structure (Onboarding Map)

Next Steps

Grapa: High-performance scripting for data, ETL, and automation.