Add Panel by HoloViz

libraries/panel/readme.md

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+# Panel
+
+![The AI Engineer presents Panel](panel_1920x192.png)
+
+## Overview
+
+[Panel](https://panel.holoviz.org/reference/index.html) lets you easily **build AI powered tools, chat interfaces and applications entirely in Python**.
+
+[![Panel Chat App](panel-chat-example.png)](https://llamahub.ai/l/llama_packs-panel_chatbot?from=all)
+
+## Description
+
+Panel is an open-source and free Python library that lets you easily build AI powered tools, chat interfaces and applications entirely in Python. It has a batteries-included philosophy, putting the PyData ecosystem, powerful data tables and much more at your fingertips. High-level reactive APIs and lower-level callback based APIs ensure you can quickly build exploratory applications, but you aren’t limited if you build complex, multi-page apps with rich interactivity.
+
+### 💡 Key Highlights
+
+⚡ Easily turn your data and models into powerful AI powered applications.
+
+🔋 Its *batteries included philosophy* enables you to build multi-modal applications.
+
+🤖 Provides powerful chat components
+
+🦜 Show *chain of thought* with the LangChain callback handler.
+
+📓 Develop in the notebook or your editor of choice
+
+Panel is a member of the [HoloViz](https://holoviz.org/) ecosystem of dataviz frameworks. It supports even the the most advanced dataviz use cases. For example you can visualize the biggest datasets interactively in combination with its sister framework [Datashader](https://datashader.org/).
+
+[![Panel + Datashader Embeddings App](datashader-embedding-viz.png)](https://youtu.be/dNnHlb4RfJY?si=UDegKXF9GHzGE4nk)
+
+### 🤔 Why should The AI Engineer care about Panel?
+
+Because
+
+- Panel gives the AI Engineer super powers.
+- [Deeplearning.AI](https://www.deeplearning.ai/) by Andrew Ng uses Panel to teach AI Engineers how to build chat applications.
+- It is a favorite of Harrison Chase, CEO and founder of LangChain.
+- Autogen use it to demo their agents and group chat.
+
+[![Harrison Chase Panel Testimonial](harrison-chase-panel-testimonial.png)](https://x.com/hwchase17/status/1730990206856437831?s=20)
+
+[![Autogen Panel testimonial](autogen-panel-testimonial.png)](https://x.com/jliisme/status/1727287346817810847?s=20)
+
+## 📊 Panel Stats
+
+* 👷🏽‍♀️ Builders: [Philipp Rudiger](https://github.com/philippjfr), [Marc Skov Madsen](https://github.com/MarcSkovMadsen), [Simon Høxbro Hansen](https://github.com/Hoxbro), [Maxime Liquet](https://github.com/maximlt), [Andrew Huang](https://github.com/ahuang11), [Sophia Yang](https://github.com/sophiamyang)
+* 👩🏽‍💼 Builders on LinkedIn: [philippjfr](https://www.linkedin.com/in/philippjfr/), [marcskovmadsen](https://www.linkedin.com/in/marcskovmadsen/), [hoxbro](https://www.linkedin.com/in/hoxbro/), [maxime](https://www.linkedin.com/in/maxime-liquet/), [haungandrew12](https://www.linkedin.com/in/huangandrew12/), [sophiamyang](https://www.linkedin.com/in/sophiamyang/)
+* 👩🏽‍🏭 Builders on Twitter: [PhilippJFR](https://twitter.com/PhilippJFR), [Marc Skov Madsen](https://twitter.com/MarcSkovMadsen), [MaximeLiquet](https://twitter.com/MaximeLiquet), [IAteAnDrew1](https://twitter.com/IAteAnDrew1), [sophiamyang](https://twitter.com/sophiamyang)
+* 👩🏽‍💻 Contributors: 152
+* 💫 GitHub Stars: 3.4k
+* 🍴 Forks: 406
+* 👁️ Watch: 52
+* 🪪 License: BSD 3-Clause
+* 🔗 Links: Below 👇🏽
+
+## 🖇️ Panel Links
+
+Check out [Panel-Chat-Examples](https://holoviz-topics.github.io/panel-chat-examples/) and
+
+* GitHub Repository: https://github.com/holoviz/panel
+* Official Website: https://panel.holoviz.org/index.html
+* Twitter account: https://twitter.com/Panel_org
+* LinkedIn account: https://www.linkedin.com/company/panel-org/
+* Profile in The AI Engineer: https://github.com/theaiengineer/awesome-opensource-ai-engineering/blob/main/libraries/panel.md
+
+---
+🧙🏽 Follow [The AI Engineer](https://www.linkedin.com/company/theaiengineer/) for daily insights tailored to AI engineers and subscribe to our [newsletter](http://theaiengineerco.substack.com). We are the AI community for hackers!
+
+⚠️ If you want me to highlight your favorite AI library, open-source or not, please share it in the comments section!