Plotly
D3.js
RAWGraphs
Tableau
Google Charts
Highcharts
Bokeh
Chart.js
Teammately.ai
LangChain
Haystack NLP Framework
Leewow
Amazon SageMaker
RedBubble
Zazzle
Dify.AI
Teammately is the autonomous AI agent designed for AI engineers to build, evaluate, and refine AI products, models, and agents. It empowers you to define your objectives, and then autonomously iterates using LLMs, prompts, RAG, and ML to achieve results beyond human-level manual iteration. Teammately focuses on a scientific approach to AI development, ensuring quality and reliability through AI-driven testing and evaluation.
Plotly Teammately.aiPlotly 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.
Teammately.ai's answer:
Teammately has following benefits:
Teammately.ai's answer:
This product is for AI-Engineer. Teammately is an Agentic AI for AI development process, designed to enable "Human AI-Engineers" to focus on more creative and productive missions in AI development.
Based on our record, Plotly seems to be more popular. 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
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...
Haystack NLP Framework - Haystack is an open source NLP framework to build applications with Transformer models and LLMs.
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.
Leewow - Leewow is the world's first Product Creation Agent, an AI-powered platform that understands your needs and transforms creative ideas into physical products in 30 seconds.