Native engine · APIs · libraries · applications

GetBible engineering ecosystem

A complete public engineering estate spanning Shell and Python builders, static APIs, C/C++ native interfaces, PHP and Python libraries, MCP, Joomla, Telegram, web, desktop, and cross-platform clients.

Long-running public ecosystem
Role
Architect, author, and maintainer across the public GetBible organization; the user has identified every project in the organization as his work.
Evidence
6 direct public links
  • C++
  • C
  • PHP
  • Python
  • Bash
  • TypeScript
  • JavaScript
  • Dart

Purpose and value

Why this system exists

GetBible is not one repository or interface. It is a maintained chain from source-module extraction and integrity validation through versioned publication, language libraries, application APIs, CMS delivery, interactive services, and end-user clients. The public organization shows how those boundaries are designed to evolve independently without losing data integrity.

Engineering role

Architect, author, and maintainer across the public GetBible organization; the user has identified every project in the organization as his work.

System structure

Architecture

  1. 01

    Native SWORD extraction is isolated behind deterministic contracts and a stable C ABI.

  2. 02

    Versioned builders transform validated inputs into static APIs and integrity manifests.

  3. 03

    Language libraries and extensions provide Python, PHP, Shell, TypeScript/MCP, and application-specific boundaries.

  4. 04

    Joomla, Telegram, web, desktop, and Flutter surfaces consume maintained service and publication contracts.

Boundaries

Principal interfaces

CrossWire SWORD modules and native ABI
Versioned static JSON APIs and hashes
Python, PHP, Shell, MCP, and JavaScript integration layers
Joomla, Telegram, web, desktop, and Flutter applications

Judgement

Engineering decisions

Keep generated API repositories visible but do not use their data volume as a substitute for source engineering evidence.

Separate extraction, validation, transformation, publication, library, and application responsibilities.

Preserve historical systems and deprecation evidence while directing current consumers to maintained interfaces.

Confidence model

Delivery, validation, and maintenance

  • Direct evidence across 28 public organization repositories
  • Versioned releases, PyPI and native package paths
  • Checksum-aware and fail-closed publication systems
  • Public documentation, CI, deployment, and operational tooling

Direct sources

Inspect the evidence

Rapid navigation

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