<h2>Overview</h2>
<p>doc2dash is a Python project that serves as an extensible Documentation Set generator. It allows users to create indexed documentation sets for various APIs in Dash-compatible API browsers like Dash for macOS and Zeal for Windows and Linux. By converting offline documentation into a format that API browsers can read and search quickly, doc2dash enhances the accessibility of documentation for different packages that users may utilize.</p>
<h2>Features</h2>
<ul>
<li><strong>Extensible Documentation Set Generation</strong>: Convert offline documentation into an indexed format for API browsers.</li>
<li><strong>Support for Various Documentation Systems</strong>: Works with Sphinx, pydoctor, MkDocs, and other known intersphinx-based documentation systems.</li>
<li><strong>Custom Parser Support</strong>: Users can develop their own parsers for additional flexibility.</li>
<li><strong>User-Friendly Installation</strong>: Easy installation process, especially when using the Homebrew tap.</li>
<li><strong>Fast Search Capability</strong>: Enables quick search within the generated documentation sets.</li>
<li><strong>Compatible with Dash and Zeal</strong>: Allows for seamless integration with API browsers like Dash and Zeal.</li>
</ul>
<h2>Summary</h2>
<p>doc2dash is a valuable tool for developers and users who require quick and easy access to documentation for different APIs. By enabling the creation of indexed documentation sets that are compatible with popular API browsers, doc2dash enhances the efficiency and convenience of accessing documentation for various packages. Its support for multiple documentation systems and extensibility through custom parsers make it a versatile solution for managing and viewing documentation offline.</p>


<h2>Overview:</h2>
<p>svcs is a dependency container for Python, offering a centralized platform to register factories and acquire instances of types/interfaces with cleanup and health checks. It facilitates Inversion of Control using dependency injection or service location without necessitating global state, decorators, or altering function signatures. svcs aims to reduce boilerplate code, simplify service acquisition and cleanup, ensure static type safety, enhance testing through loose coupling, and enable live introspection and monitoring with health checks.</p>
<h2>Features:</h2>
<ul>
<li><strong>Dependency Container</strong>: Provides a central place to register factories for types/interfaces.</li>
<li><strong>Automatic Cleanup</strong>: Ensures instances of types are automatically cleaned up.</li>
<li><strong>Health Checks</strong>: Offers health checks for monitoring the status of services.</li>
<li><strong>Inversion of Control</strong>: Facilitates implementation of IoC using dependency injection or service location.</li>
<li><strong>Seamless Integration</strong>: Integrates smoothly with frameworks like AIOHTTP, FastAPI, Flask, Pyramid, and Starlette.</li>
<li><strong>Static Typing Support</strong>: Provides first-class support for static typing, enhancing code robustness.</li>
</ul>
<h2>Summary:</h2>
<p>svcs is a versatile dependency container for Python that streamlines the management of services by providing a unified platform for registering factories, acquiring instances, and ensuring cleanup and health checks. Its focus on reducing boilerplate code, offering static type safety, and integrating seamlessly with popular frameworks makes it a valuable tool for developers seeking efficient service management in their Python projects.</p>


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Doc2dash

Svcs