
CTO.ai
Serverless
Puppet Enterprise
Ansible
Salt
Chef
Netlify Build Plugins
Plural
Plotly
D3.js
RAWGraphs
Tableau
Google Charts
Highcharts
Bokeh
Chart.js
CTO.ai
PlotlyPlotly 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 seems to be a lot more popular than CTO.ai. While we know about 34 links to Plotly, we've tracked only 3 mentions of CTO.ai. 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.
Happy new year and I hope you all had great holidays! Let's start the year with a fresh new Hand-On session, where you can learn how to create a customizable developer workflow, using a Developer Control Plane, developed by CTO.ai. - Source: dev.to / over 3 years ago
I'm just passing by to invite you all to my very first webinar at CTO.ai, which I'll talk about How a Composable Developer Platform Simplifies Ops for Devs. - Source: dev.to / over 3 years ago
CTO.ai also have an open source project that you can contribute. Feel free to code and share your know-how on it. Visit our workflows-sh repository to see the code. - Source: dev.to / almost 4 years 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 / 4 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 / over 1 year 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
Serverless - Toolkit for building serverless applications
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.
Puppet Enterprise - Get started with Puppet Enterprise, or upgrade or expand.
RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...
Ansible - Radically simple configuration-management, application deployment, task-execution, and multi-node orchestration engine
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.