The latest articles on DEV Community by Pablo (@pnmartinez). https://dev.to/pnmartinez https://media2.dev.to/dynamic/image/width=90,height=90,fit=cover,gravity=auto,format=auto/https:%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Fuser%2Fprofile_image%2F2574005%2F4a28dc90-2de7-4bc7-b2e4-b9c5eb5a1269.jpeg https://dev.to/pnmartinez en Pablo Sun, 15 Dec 2024 19:52:37 +0000 https://dev.to/pnmartinez/ai-dashboard-builder-create-insightful-dashboards-just-droppping-your-data-36ff https://dev.to/pnmartinez/ai-dashboard-builder-create-insightful-dashboards-just-droppping-your-data-36ff <h2> Introducing AI Dashboard Builder 📊 </h2> <p>Hey DEV Community! 👋 </p> <p>I'm excited to share a project I've been working on that makes data visualization accessible to everyone through the power of AI. <strong>AI Dashboard Builder</strong> webapp lets you create dashboards from your data just dropping it, and letting an LLM infer relevant data visualizations. </p> <ul> <li>You can also use local LLMs for <strong>full privacy</strong> through <strong>Ollama</strong>.</li> <li>External LLMs by passing an <code>API_KEY</code>.</li> </ul> <p><a href="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Ftyrlqwxhpu3xt3o59tzq.png" class="article-body-image-wrapper"><img src="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Ftyrlqwxhpu3xt3o59tzq.png" alt="AI Dashboard Builder with a dashboard already rendered" width="800" height="418"></a></p> <p>Link to repo: <a href="https://github.com/pnmartinez/ai-dashboard-builder" rel="noopener noreferrer">https://github.com/pnmartinez/ai-dashboard-builder</a></p> <h2> 🌟 Key Features </h2> <ul> <li> <strong>Privacy First</strong> 🛡️: Use local LLMs through Ollama for your private data</li> <li> <strong>Simple to Use</strong> 🌱: Just upload your data and let AI do the work</li> <li> <strong>Flexible</strong> 🤸: <ul> <li>KPI-directed visualization</li> <li>Preview and filter your dataset</li> <li>Dynamic filters inferred by AI</li> <li>Support for multiple LLM providers</li> </ul> </li> <li> <strong>Reusable</strong> 🔄: Export visualization specs and code for each plot</li> </ul> <h2> 🚀 Quick Start </h2> <p>The easiest way to get started is with Docker:<br> </p> <div class="highlight js-code-highlight"> <pre class="highlight shell"><code>docker-compose up <span class="nt">--build</span> </code></pre> </div> <p>Then visit <a href="http://localhost:8050" rel="noopener noreferrer">http://localhost:8050</a> and start creating dashboards!</p> <h2> 🤝 We're Looking for Contributors! </h2> <p>Whether you're a Python developer, UI/UX designer, or data visualization enthusiast, we'd love your help! Here are some areas where you can contribute:</p> <h3> 🐍 For Python Developers </h3> <ul> <li>Add support for new visualization types</li> <li>Implement additional LLM providers</li> <li>Improve error handling and testing</li> </ul> <h3> 🎨 For UI/UX Designers </h3> <ul> <li>Enhance the dashboard layout</li> <li>Improve user interaction flows</li> <li>Create a more intuitive interface</li> </ul> <h3> 📊 For Data Viz Enthusiasts </h3> <ul> <li>Suggest new visualization features</li> <li>Help improve the AI prompts</li> <li>Create example datasets and use cases</li> </ul> <h3> 📝 For Technical Writers </h3> <ul> <li>Improve documentation</li> <li>Create tutorials</li> <li>Write blog posts about use cases</li> </ul> <h3> 📚 For Data Scientists and AI Enthusiasts </h3> <ul> <li>Create example datasets and use cases</li> <li>Help improve the AI prompts</li> </ul> <h2> 🛠️ Tech Stack </h2> <ul> <li> <strong>Backend</strong>: Python, Dash</li> <li> <strong>AI/ML</strong>: Support for various LLMs (OpenAI, Anthropic, Groq, Local models via Ollama)</li> <li> <strong>Visualization</strong>: Plotly</li> <li> <strong>Deployment</strong>: Docker</li> </ul> <h2> 🎯 Getting Started as a Contributor </h2> <ol> <li>Fork the repository: <a href="https://github.com/pnmartinez/ai-dashboard-builder" rel="noopener noreferrer">AI Dashboard Builder</a> </li> <li>Clone your fork</li> <li>Check out our <a href="https://github.com/pnmartinez/ai-dashboard-builder/blob/main/CONTRIBUTING.md" rel="noopener noreferrer">CONTRIBUTING.md</a> guide</li> <li>Pick an issue or propose a new feature</li> <li>Submit your PR!</li> </ol> <h2> 💡 Feature Ideas We'd Love Help With </h2> <ul> <li>[ ] Benchmarks to compare different prompts performances,</li> <li>[ ] Export and Import various formats</li> <li>[ ] Integration with data sources</li> <li>[ ] Mobile-responsive design</li> <li>[ ] Collaborative features</li> </ul> <h2> 🌟 Why Contribute? </h2> <ul> <li>Work with cutting-edge AI/ML technology</li> <li>Gain experience with data visualization</li> <li>Join a friendly, growing community</li> <li>Make data visualization more accessible</li> <li>Learn about LLMs and prompt engineering</li> <li>Build your open source portfolio</li> </ul> <h2> 🤔 Questions? </h2> <p>Feel free to:</p> <ul> <li>Open an issue on GitHub</li> <li>Join our discussions</li> <li>Comment below</li> </ul> <p>Let's make data visualizations accessible to everyone! 🚀</p> <p><em>P.S. Don't forget to <a href="https://github.com/pnmartinez/ai-dashboard-builder" rel="noopener noreferrer">star ⭐ the repository</a> if you find it interesting!</em></p> dataengineering datascience llm python