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Open-source CLI security scanner for agentic workflows.

Connect multiple AI models easily. Open source, user-friendly UI application to create workflows with different AI models.

An AI-powered self-serve ecosystem built to help your users help themselves.

A library to compare Pandas, Polars, and Spark data frames. It provides stats and lets users adjust for match accuracy.

The next-generation user interface for Project Jupyter.

Building AGI with our mission Intelligence with Everyone. Global leader in multi-modal models and AI-native products with over 200 million users.

Summarizer for paper parts. The user needs to copy and paste into their interface.

Build AI apps with one API, user wallets, and developer earnings.

Suite of tools that users, both novice and advanced, can use to optimize machine learning models for deployment and execution.

And alternative suggestions for design research.

Build AI agents that ship to production. User-scoped execution, rich UI components, and quota management built-in.

Agent skill and MCP server for tweet search, user lookup, follower export, media download, webhooks, and confirmation-gated X actions. MIT.