WireMock
Beeceptor
Mockoon
MockServer
Postman
QuickMocker
SOAP/REST Mock Service
Webhook.site
Plotly
D3.js
RAWGraphs
Tableau
Google Charts
Highcharts
Bokeh
Chart.js
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.
Plotly might be a bit more popular than WireMock. We know about 34 links to it since March 2021 and only 23 links to WireMock. 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.
On a new project, I decided to re-evaluate my options, and remembered a tool that seems to be the next best thing for the job: Wiremock. - Source: dev.to / over 1 year ago
I'm pretty sure Wiremock (https://wiremock.org) lets you configure both the response body and headers. - Source: Hacker News / over 1 year ago
Mocha is a lib inspired by nock and WireMock. It allows checking if the mock was called or not, which is a nice feature. Like httptest, it also it don't automatically intercept the requests. - Source: dev.to / over 1 year ago
For testing third-party API calls, you can use libraries such as WireMock or Nock. These tools allow you to simulate HTTP requests and responses, helping you test how your application behaves when interacting with an external service. For example, you can mock successful responses, simulate errors, or test timeouts, all without making real HTTP requests. - Source: dev.to / almost 2 years ago
WireMock is a versatile, open-source platform for API mocking, offering powerful simulation features for both HTTP and HTTPS protocols. It’s highly customizable and is especially well-suited for complex use cases, such as testing microservices architectures and handling advanced behaviors. - Source: dev.to / almost 2 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
Beeceptor - Unblock yourself from API dependencies, and build & integrate with APIs fast. Beeceptor helps you build a mock Rest API in a few seconds.
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.
Mockoon - Mockoon is the easiest and quickest way to design and run mock REST APIs. No remote deployment, no account required, free and open-source.
RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...
MockServer - Easy mocking of any system you integrate with via HTTP or HTTPS.
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.