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Add Cheshire Cat AI to LLMOps section #193

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Feb 11, 2025
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Add Cheshire Cat AI to LLMOps section #193

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Expand Up @@ -175,6 +175,7 @@ An awesome & curated list of the best LLMOps tools for developers.
| [AI studio](https://github.com/missingstudio/ai) | A Reliable Open Source AI studio to build core infrastructure stack for your LLM Applications. It allows you to gain visibility, make your application reliable, and prepare it for production with features such as caching, rate limiting, exponential retry, model fallback, and more. | ![GitHub Badge](https://img.shields.io/github/stars/missingstudio/ai.svg?style=flat-square) |
| [Arize-Phoenix](https://github.com/Arize-ai/phoenix) | ML observability for LLMs, vision, language, and tabular models. | ![GitHub Badge](https://img.shields.io/github/stars/Arize-ai/phoenix.svg?style=flat-square) |
| [BudgetML](https://github.com/ebhy/budgetml) | Deploy a ML inference service on a budget in less than 10 lines of code. | ![GitHub Badge](https://img.shields.io/github/stars/ebhy/budgetml.svg?style=flat-square) |
| [Cheshire Cat AI](https://github.com/cheshire-cat-ai/core) | Web framework to create vertical AI agents. FastAPI based, plugin system inspired to WordPress, admin panel, vector DB included | ![GitHub Badge](https://img.shields.io/github/stars/cheshire-cat-ai/core.svg?style=flat-square) |
| [Dataoorts](https://dataoorts.com/ai) | Enjoy unlimited API calls with Serverless AI Workers/LLMs for just $25 per month. No rate or concurrency limits. | |
| [deeplake](https://github.com/activeloopai/deeplake) | Stream large multimodal datasets to achieve near 100% GPU utilization. Query, visualize, & version control data. Access data w/o the need to recompute the embeddings for the model finetuning. | ![GitHub Badge](https://img.shields.io/github/stars/activeloopai/Hub.svg?style=flat-square) |
| [Dify](https://github.com/langgenius/dify) | Open-source framework aims to enable developers (and even non-developers) to quickly build useful applications based on large language models, ensuring they are visual, operable, and improvable. | ![GitHub Badge](https://img.shields.io/github/stars/langgenius/dify.svg?style=flat-square) |
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