Aigur

Pricing model
Free
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Aigur is a tool designed to assist in creating multi-user applications using generative AI. It simplifies the management of usage plans, job requests, and security while offering a straightforward API, preset integrations, implementation strategies, and ready-made UI components. Additionally, Aigur includes analytics, enables request saving and editing, and is available for free during its Beta phase.

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Paid
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Code2.AI is a tool powered by artificial intelligence that converts existing codebases into condensed versions optimized for AI interaction, enhancing the efficiency of code generation and analysis. It is compatible with all programming languages, offers comprehensive project context for AI prompts, and produces complete, working code that integrates smoothly with current projects. Developers can utilize Code2.AI to speed up development, update outdated code, aid in code reviews, or swiftly turn design ideas into functional prototypes, ultimately saving time and enhancing code quality across diverse project types.
GitHub
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Gradio is a platform designed for developing and distributing machine learning models. It offers an easy-to-use web interface and efficient setup process for swiftly constructing and launching ML models. With Gradio, users can design interfaces for a wide range of ML applications, such as sketch recognition or time series prediction, and share these interfaces with others through a public link or consistent hosting on Hugging Face Spaces. Additionally, it can be integrated into Python notebooks or displayed as a standalone webpage.
Freemium
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AI Code Snippets is a resource that utilizes AI technology to assist developers in creating a personal library of secure code snippets. It includes functionalities like code generation, refactoring, debugging, and smart code completion. Users can also share their snippets with team members and produce natural language explanations to enhance code readability. Furthermore, the tool provides three subscription options to cater to varying user requirements.