
Meteor
ExpressJS
Node.js
Ruby on Rails
Django
Laravel
ASP.NET
Grails
Plotly
D3.js
RAWGraphs
Tableau
Google Charts
Highcharts
Bokeh
Chart.js
MeteorMeteor is recommended for startups and individual developers who need to rapidly develop and deploy their applications. It’s also suitable for teams focusing on applications where real-time data synchronization is crucial, such as chat applications or collaborative tools.
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 Meteor. 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.
Do you mean real-time data / live sync? It is actually the next thing we're going to release, so yes - it is definitely a core part. We took our inspiration from https://meteor.com and it had a big emphasis on live data which we're going to support in a more scalable way. - Source: Hacker News / about 1 year ago
Our new Meteor brand represents our commitment to modern JavaScript. It features a cleaner, more contemporary design that represents our future direction rather than just our heritage. The redesigned Meteor website is now ready and includes a really cool interactive demo that showcases what Meteor can do. We're excited for you to check it out and experience Meteor's capabilities firsthand. - Source: dev.to / over 1 year ago
MeteorJS brings client-side reactivity out of the box. No matter which frontend framework you choose, you will always have an integrated reactivity that synchronizes your data and the UI. This is one of the core strengths of MeteorJS. - Source: dev.to / almost 2 years ago
The next major MeteorJS release is coming in July 2024! After more than two years of development, this is the final result. The first discussions started in June 2021 and there has been multiple alphas, betas, rcs and a huge amount of package updates. These were constantly battle-tested by the Meteor Core team and the Community, shaping the features and performance of the platform one by one. - Source: dev.to / about 2 years ago
Meteor.js is a full-stack JavaScript platform for developing modern web and mobile applications. Meteor includes a key set of technologies for building connected-client reactive applications, a build tool, and a curated set of packages from the Node.js and general JavaScript community. - Source: dev.to / about 3 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 / 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
ExpressJS - Sinatra inspired web development framework for node.js -- insanely fast, flexible, and simple
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.
Node.js - Node.js is a platform built on Chrome's JavaScript runtime for easily building fast, scalable network applications
RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...
Ruby on Rails - Ruby on Rails is an open source full-stack web application framework for the Ruby programming...
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.