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Plotly is recommended for data scientists, analysts, and developers who need to create interactive and visually appealing data visualizations. It's particularly useful for those who work with Python or R and want the ability to embed their visualizations in web applications or dashboards.
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Based on our record, Plotly should be more popular than Haystack NLP Framework. It has been mentiond 34 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Let's dive into some practical examples. First, you'll need to set up your environment with the right tools. I recommend using pandas for data manipulation and plotly for visualization. - Source: dev.to / 6 months ago
Plotly is perfect for interactive visualizations. You can create interactive charts and graphs that allow users to hover, click, and zoom in. Plotly is also great for web-based visuals, making it easy to share your findings online. - Source: dev.to / over 1 year ago
Front End: A React application that leverages React-Chatbotify library to easily integrate a chatbot GUI. It also uses the Plotly library to display the charts/visualizations. The generative AI implementation and details are entirely abstracted from the front end. The front-end application depends on a single REST endpoint of the backend application. - Source: dev.to / over 1 year ago
In this tutorial, Mariya Sha will guide you through building a stock value dashboard using Taipy, Plotly, and a dataset from Kaggle. - Source: dev.to / almost 2 years ago
How to Accomplish: Utilize visualization libraries like Matplotlib, Seaborn, or Plotly in Python to create histograms, scatter plots, and bar charts. For image data, use tools that visualize images alongside their labels to check for labeling accuracy. For structured data, correlation matrices and pair plots can be highly informative. - Source: dev.to / about 2 years ago
I immediately thought this was an update by Deepset and their Haystack framework. https://haystack.deepset.ai/ Just FYI. - Source: Hacker News / 12 months ago
Haystack: An open-source framework for building production-ready LLM applications. - Source: dev.to / about 1 year ago
Haystack forms the backbone of our RAG system. It provides pipelines for processing documents, embedding text, and retrieving relevant information. - Source: dev.to / over 1 year ago
Are you curious about the NLP/GenAI/RAG framework for developers? Check out my opinionated developer review of Haystack, which emerges as a robust NLP/RAG framework that excels in search and retrieval applications: Read the review. - Source: dev.to / almost 2 years ago
Did you really have to pick the same name as the Haystack open source AI framework? https://haystack.deepset.ai/ https://github.com/deepset-ai/haystack It's a very active project and it's confusing to have two projects with the same name. Besides, I don't understand why you'd give a "2D digital whiteboard that automatically draws connections between code as... - Source: Hacker News / almost 2 years ago
D3.js - D3.js is a JavaScript library for manipulating documents based on data. D3 helps you bring data to life using HTML, SVG, and CSS.
LangChain - Framework for building applications with LLMs through composability
RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...
Hugging Face - The AI community building the future. The platform where the machine learning community collaborates on models, datasets, and applications.
Tableau - Tableau can help anyone see and understand their data. Connect to almost any database, drag and drop to create visualizations, and share with a click.
Teammately.ai - Teammately is The AI AI-Engineer - the AI Agent for AI Engineers that autonomously builds AI Products, Models and Agents based on LLM, prompt, RAG and ML.