Nango
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Plotly
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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.
Based on our record, Plotly should be more popular than Nango. 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.
In this guide you will build an AI agent that reads pitch-deck emails from Gmail, judges each deck against a fixed investment thesis with an LLM, and posts a Slack message when a deck is a fit. LangGraph orchestrates the steps; Nango handles the Gmail and Slack connections and exposes them to the graph over MCP. - Source: dev.to / 3 days ago
Nango gives each external API one integration-specific webhook URL and attributes incoming events to the right customer connection. Receiving webhooks from external APIs is one of its core use cases. Nango is a platform for building product integrations as code with coding agents, and its cloud runtime handles authentication, data syncs, tool calls, and webhook processing across a catalog of 900+ APIs. Hundreds of... - Source: dev.to / 3 days ago
Nango is the integration platform where coding agents build integrations. Engineers, or coding agents like Claude Code, Cursor, and Codex, write integrations as code in your repo, and Nango’s cloud runtime runs them securely and at scale. - Source: dev.to / 3 months ago
You will need a Nango account (the free tier is enough for development). Then register your own HubSpot OAuth app with the crm.objects.contacts.read scope, set the OAuth callback URL to https://api.nango.dev/oauth/callback, and configure HubSpot as an integration in the Nango dashboard. - Source: dev.to / 4 months ago
Nango is the only platform in this comparison that treats all three loops as first-class, and the only one where the same code an agent builds today runs unmodified in a hardened tenant-isolated runtime tomorrow. - Source: dev.to / 5 months ago
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
Composio.dev - Make Agents Actually Useful!
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.
Pipedream - Integration platform for developers
RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...
Paragon - Paragon offers routing, scheduling, and transport logistics optimization software.
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.