Gradio

Pricing model
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.

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Open Source
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Steamship's LangChain enables users to swiftly deploy and host managed LangChain applications. It offers cloud-based logging, key management, and data storage, along with integrated embedding search and custom endpoints. Users can encapsulate their code in Flask-like endpoints to launch a live, multi-user API with just one command. Additionally, Steamship offers hosted LangChain Examples and Swap-ins, including OpenAI, ConversationBufferMemory, ConversationBufferWindowMemory, Google Search, and Audio Transcription.
Freemium
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Cursor is a code editor with an AI-first approach, aimed at accelerating software development for engineers. It offers seamless migration from VSCode with a single click, local security capabilities, project chat functionalities, documentation browsing, code modification, new code generation, bug identification and fixing, error debugging, among other features. Trusted by tens of thousands of engineers, it is highly regarded by developers for enhancing their productivity.
Freemium
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Cody is a coding assistant powered by AI from Sourcegraph that seamlessly integrates into popular development environments to optimize programming workflows. By utilizing large language models and drawing context from your codebase, it offers intelligent code completion, addresses technical queries, generates and edits code, troubleshoots errors, and clarifies code modifications. Developers and engineering teams leverage Cody to enhance productivity, speed up onboarding, and elevate code quality while ensuring enterprise-level security, making it especially beneficial for those handling complex codebases who require context-aware assistance without interrupting their current workflow.