
Ghost Inspector
TestMu AI (Formerly LambdaTest)
BrowserStack
Selenium
Cypress.io
Katalon
Functionize
Leapwork
Plotly
D3.js
RAWGraphs
Tableau
Google Charts
Highcharts
Bokeh
Chart.js
Ghost Inspector
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 should be more popular than Ghost Inspector. 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.
Ghost Inspector is an excellent choice for teams looking to automate browser testing without writing code. As one of the best SaaS testing tools, it enables users to effortlessly create automated tests, allowing them to quickly identify and fix issues on their websites and web applications. This approach enhances overall efficiency and helps maintain a seamless user experience. - Source: dev.to / over 1 year ago
Ghost Inspector is a testing service for monitoring key site functionality. All tests are stored in the cloud and running continuously and notify you on error or variance is detected. - Source: dev.to / about 2 years ago
Playwright is good but there is also other kind of tools like https://reflect.run/ and https://ghostinspector.com/ that are perfect for end user testing. Hope it helps. Source: over 3 years ago
It depends on your stack and app type, but I had great experience with Ghost Inspector https://ghostinspector.com/. - Source: Hacker News / over 3 years ago
Ghost Inspector provides codeless automation testing for web apps and websites. Its intuitive editor allows easy maintenance, continuous testing, requiring no coding skills. It has extensive features suitable for both novice QA testers and seasoned test engineers. Source: 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
TestMu AI (Formerly LambdaTest) - Worldโs first full-stack Agentic AI Quality Engineering platform.
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.
BrowserStack - BrowserStack is a software testing platform for developers to comprehensively test websites and mobile applications for quality.
RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...
Selenium - Selenium automates browsers. That's it! What you do with that power is entirely up to you. Primarily, it is for automating web applications for testing purposes, but is certainly not limited to just that.
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.