unittest VS D3.js
Compare unittest VS D3.js and see what are their differences
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unittest
pytest
Rumprun
Cucumber
RSpec
JUnit
OSv
Criterion
D3.js
Chart.js
Plotly
Highcharts
Google Charts
AnyChart
Pixi.js
RAWGraphs
D3 allows you to bind arbitrary data to a Document Object Model (DOM), and then apply data-driven transformations to the document. For example, you can use D3 to generate an HTML table from an array of numbers. Or, use the same data to create an interactive SVG bar chart with smooth transitions and interaction.
D3 is not a monolithic framework that seeks to provide every conceivable feature. Instead, D3 solves the crux of the problem: efficient manipulation of documents based on data. This avoids proprietary representation and affords extraordinary flexibility, exposing the full capabilities of web standards such as HTML, SVG, and CSS. With minimal overhead, D3 is extremely fast, supporting large datasets and dynamic behaviors for interaction and animation. D3’s functional style allows code reuse through a diverse collection of official and community-developed modules.
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Based on our record, D3.js should be more popular than unittest. It has been mentiond 161 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.
Unittest is a built-in module of Python. It’s inspired by the xUnit framework architecture. This is a great tool to create and organise test cases in a systematic way. You can use unittest.mock with pytest when you need to create mock objects in your tests. The unittest.mock module is a powerful feature in Python’s standard library for creating mock objects in your tests. It allows you to replace parts of your... - Source: dev.to / 3 months ago
Unittest is Python's built-in testing framework. Django extends it with some of its own functionality. - Source: dev.to / 4 months ago
After looking through the various unit testing tools available for Python like pytest, unittest (built-in), and nose, I went with pytest for its simlpicity and ease of use. - Source: dev.to / 7 months ago
Like I said above, I chose the UnitTest framework because it is built into Python, which should make things easier for contributors as it reduces the number of libraries they need to install in order to get started on the program. I also have a little experience with reading the syntax for the library due to a Data Structures and Algorithms class I took in a previous semester, where my professor had us write data... - Source: dev.to / 7 months ago
Python has had tests and a cli that discovers them since 3.2 https://docs.python.org/3/library/unittest.html >>Test Discovery¶. - Source: Hacker News / 8 months ago
Data Visualization Software is designed to help users create visual representations of their data. These tools are often used to create charts, graphs, and other visualizations that can help users understand their data better. Some popular Data Visualization Software includes Tableau, Power BI, and D3.js. Tableau and Power BI are both powerful data visualization tools, while D3.js is a JavaScript library for... - Source: dev.to / 11 days ago
Interactive User Interface: Developing an interactive UI for visualizing the graph and its communities could make the summarization process more intuitive. Tools like D3.js or Cytoscape.js can be used to create dynamic visualizations. - Source: dev.to / about 1 month ago
Yes this was done with a combination of GSAP Scrolltrigger https://gsap.com/docs/v3/Plugins/ScrollTrigger/ and https://d3js.org/. - Source: Hacker News / 2 months ago
d3 - very power visualization library enabling dynamic visualizations. docs. - Source: dev.to / 3 months ago
Yep, Evidence is doing good work. We were most directly inspired by VitePress; we spent months rewriting both D3’s docs (https://d3js.org) and Observable Plot’s docs (https://observablehq.com/plot) in VitePress, and absolutely loved the experience. But we wanted a tool focused on data apps, dashboards, reports — observability and business intelligence use cases rather than documentation. Compared to Evidence, I’d... - Source: Hacker News / 4 months ago
pytest - Javascript Testing Framework
Chart.js - Easy, object oriented client side graphs for designers and developers.
Rumprun - The Rumprun unikernel and toolchain for various platforms - rumpkernel/rumprun
Plotly - Low-Code Data Apps
Cucumber - Cucumber is a BDD tool for specification of application features and user scenarios in plain text.
Highcharts - A charting library written in pure JavaScript, offering an easy way of adding interactive charts to your web site or web application