
SonarQube
Codacy
CodeClimate
Coverity Scan
PyCharm
Checkmarx
ESLint
ReSharper
Plotly
D3.js
RAWGraphs
Tableau
Highcharts
Google Charts
Bokeh
Chart.js
SonarQube, a core component of the Sonar solution, is an open source, self-managed tool that systematically helps developers and organizations deliver Clean Code. SonarQube integrates into the developers' CI/CD pipeline and DevOps platform to detect and help fix issues in the code while performing continuous inspection of projects.
Supported by the Sonar Clean as You Code methodology, only code that meets the defined quality standard can be released to production. SonarQube analyzes the most popular programming languages, frameworks, and infrastructure technologies and supports over 5,000 Clean Code rules.
Trusted by 7 million developers and 400,000 organizations globally to clean more than half a trillion lines of code, Sonar has become integral to delivering better software.
Explore our pricing and request an evaluation: https://www.sonarsource.com/plans-and-pricing/
SonarQube
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 seems to be a lot more popular than SonarQube. While we know about 34 links to Plotly, we've tracked only 1 mention of SonarQube. 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.
Even for Java, C# and JS we do enforce such kind of rules, e.g. https://sonarqube.org. - Source: Hacker News / 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
Codacy - Automatically reviews code style, security, duplication, complexity, and coverage on every change while tracking code quality throughout your sprints.
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.
CodeClimate - Code Climate provides automated code review for your apps, letting you fix quality and security issues before they hit production. We check every commit, branch and pull request for changes in quality and potential vulnerabilities.
RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...
Coverity Scan - Find and fix defects in your Java, C/C++ or C# open source project for free
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.