Shelly vs Anything API
Side-by-side comparison of features, pros & cons, pricing, and community votes (2026).
🏆 Anything API leads with 672 upvotes

Run OpenAI Codex CLI natively on Android
Shelly is an innovative open-source tool that enables users to run the OpenAI Codex CLI natively on Android devices without the need for a PC, Termux, or proot environments. Its seamless integration pairs a real native terminal with an Agent Chat interface that reads Codex output in real-time, allowing users to execute fixes with a single tap. Additionally, Shelly features a home-screen Scouter widget that displays quota, cost, and rate limits, and provides quick access to prompt firing directly from the home screen. Supporting local Large Language Models like Qwen3.5 and llama.cpp, it offers flexibility for offline and on-device AI processing. Built entirely through AI agents, Shelly emphasizes automation and ease of use, making AI-powered coding and prompt management accessible on Android devices. Its open-source GPLv3 license fosters transparency and community-driven improvements, making it a compelling choice for developers and AI enthusiasts seeking a portable, powerful, and customizable solution.
Pros
- Runs OpenAI Codex CLI natively on Android without external dependencies
- Supports local LLMs like Qwen3.5 and llama.cpp for offline use
- Intuitive Agent Chat interface with live Codex output reading and fix execution
- Home screen widget for quick prompt access, quota, and cost monitoring
- Open source GPLv3 license encourages community collaboration and customization
Cons
- Limited to users comfortable with command-line and AI agent configurations
- Potential learning curve for those unfamiliar with terminal or LLMs
- Features and stability may vary as an open-source project still evolving
Best for
- • Running and testing OpenAI Codex CLI commands directly on Android devices
- • Automating code fixes and prompt execution via the Agent Chat interface
- • Monitoring API quotas, costs, and rate limits from the home screen widget
- • Using local LLMs for offline or privacy-sensitive AI coding tasks
Pricing: Open source and free to use under GPLv3 license; no paid plans are specified, though community contributions may enhance features.

Any website. We deliver the API.
Anything API is an innovative platform that bridges the gap for websites lacking public APIs. It empowers users to convert their browser-based interactions into robust, production-ready APIs without extensive coding. By simply describing the task, users can have custom functions built that directly call the target website, enabling seamless integration and automation. These custom API endpoints can be deployed serverless, scheduled via Cron, or accessed through standard API calls, making it highly versatile for developers, automation enthusiasts, and businesses seeking to extend functionality of web services. Its unique approach of translating manual browser work into programmable endpoints distinguishes it from traditional API providers, offering a flexible solution for accessing data or automating tasks on virtually any website.
Pros
- Transforms any website into a custom API without coding
- Flexible deployment options including serverless and scheduled tasks
- User-friendly task description process simplifies API creation
- Supports automation and integration with existing systems
- Highly versatile for various web scraping and data extraction needs
Cons
- Limited details on pricing structure and plans
- Potential challenges with highly dynamic or complex websites
- Reliance on agent-generated functions may require occasional updates
Best for
- • Extracting data from websites lacking public APIs
- • Automating repetitive browser tasks through API calls
- • Building integrations for custom web workflows
- • Monitoring website changes or content updates
Pricing: Likely operates on a pay-as-you-go or subscription-based model, with possible tiered plans depending on usage volume and features. Specific pricing details are not publicly disclosed, suggesting a custom or variable pricing approach.