Codacy
SonarQube
CodeClimate
CodeFactor.io
ESLint
Coveralls
SensioLabs Insight
codebeat
Datavisual.app
DataViz Kit
Tableau
JMP
Flourish
Minitab
Pie Chart Maker
GraphPad Prism
Codacy automates code reviews and monitors code quality on every commit and pull request reporting back the impact of every commit or pull request, issues concerning code style, best practices, security, and many others. It monitors changes in code coverage, code duplication and code complexity. Saving developers time in code reviews thus efficiently tackling technical debt. JavaScript, Java, Ruby, Scala, PHP, Python, CoffeeScript and CSS are currently supported. Codacy is static analysis without the hassle.
DataViz Platform is a free, browser-based data visualization tool that makes it easy to turn raw data into stunning, interactive charts and dashboards โ no coding required.
Built with React, TypeScript, FastAPI, Apache ECharts, and Google Gemini AI. Hosted on Vercel with a Supabase PostgreSQL backend.
100% free โ no credit card, no trial limits, no paywalls.
Codacy Datavisual.appDatavisual.app's answer:
DataViz Platform combines 30+ interactive chart types with AI-powered chart generation in a single free tool. You can describe a chart in plain English and have it built instantly, or let the AI analyze your data and suggest the best visualization. Unlike most competitors, all core features โ including dashboards, exports, and multi-language support โ are completely free with no trial limits or paywalls.
Datavisual.app's answer:
Unlike Tableau or Power BI, DataViz requires no installation, no subscription, and no learning curve. You upload a CSV, pick a chart (or let AI pick for you), and you're done in seconds. It's browser-based, works on any device, and supports dark mode, PWA offline access, and 4 languages. For users who need quick, beautiful visualizations without enterprise complexity, DataViz is the fastest path from data to chart.
Datavisual.app's answer:
Students and researchers who need to visualize project data quickly. Data analysts who want beautiful charts without Excel's limitations. Developers looking for a free, open-source charting tool. Small teams and freelancers who can't justify enterprise BI subscriptions. Essentially, anyone who has a spreadsheet and needs a chart โ fast.
Datavisual.app's answer:
DataViz was born out of frustration with how complicated data visualization tools had become. Most tools require expensive licenses, steep learning curves, or coding knowledge. We wanted to build something anyone could use โ upload a file, get a beautiful chart, done. We added AI to make it even easier: just describe what you want in plain English. Built by LibLab, DataViz is free and open source because we believe data visualization should be accessible to everyone.
Datavisual.app's answer:
The frontend is built with React, TypeScript, Vite, and TailwindCSS, using Apache ECharts for rendering 30+ chart types. AI features are powered by Google Gemini. The backend runs on Python with FastAPI, SQLAlchemy, and a Supabase PostgreSQL database. The app is hosted on Vercel with PWA support for offline use. Payments are handled through Lemon Squeezy.
Datavisual.app's answer:
Individual data analysts and researchers University students across multiple countries Freelance developers and consultants
Based on our record, Codacy seems to be more popular. It has been mentiond 4 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.
I'm trying to use Codacy to review my code. One of the issues is regarding the use of the "setcookie" function. Source: over 4 years ago
Does anyone have an example on how to get this conversion done on github actions where I can convert the *.coverage file into a *.xml file for uploading to codacy.com. Source: about 5 years ago
Online analysisFinally, if you want a simple way to analyze your code without having to manually configure everything locally, you can use an online code review service such as Codacy (shameless plug here). We already integrate some of the mentioned detection tools in this article and we are working every day to improve the service. The other main benefit of using automated code review tools is to allow you to... - Source: dev.to / over 5 years ago
Because you care and because you always want to be better, automation is a great way to optimize your review workflow process. Go ahead and do a quick search on Google for automated code reviews and see who better fits your workflow. You'll find Codacy on your Google search and we hope you like what we do. - Source: dev.to / over 5 years ago
SonarQube - SonarQube, a core component of the Sonar solution, is an open source, self-managed tool that systematically helps developers and organizations deliver Clean Code.
DataViz Kit - Powerful Free Data Visualization Tools
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.
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.
CodeFactor.io - Automated Code Review for GitHub & BitBucket
JMP - JMP is a data representation tool that empowers the engineers, mathematicians and scientists to explore the any of data visually.
