
Plotly
D3.js
RAWGraphs
Tableau
Google Charts
Highcharts
Bokeh
Chart.js
Obviously.ai
Akkio
Datawaves
AI & Analytics Engine
nowPredict.ai
Obviously AI AutoML
datarobot
Alteryx Designer
Plotly
Obviously.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.
Based on our record, Plotly seems to be a lot more popular than Obviously.ai. While we know about 34 links to Plotly, we've tracked only 2 mentions of Obviously.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.
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 / 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
I just got access to the beta version this new tool called databite.net. I am a data science student so I do a lot of data wrangling on a daily basis, but this thing basically does all of the cleaning for you. I uploaded some CVSs and it immediately joined the files together, added a date index and interpolated missing values, etc. Just like that. I then gave me some options for plots (simple time series, scatter... Source: almost 4 years ago
What about AutoML tools like C3.ai, higgs.ai, obviously.ai ?Anyone using those for trading? With human in the loop ofc, you're right there. Source: over 4 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.
Akkio - No-Code AI models right from your browser
RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...
Datawaves - Add analytics to anything
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.
AI & Analytics Engine - Accessible AI for everyone. AI-powered machine learning platform to clean, transform and model your data, and deploy and manage ML projects, simply, quickly and cost-effectively.