Domo
Looker
Tableau
Sisense
Qlik
Microsoft Power BI
MicroStrategy
QlikSense
codebeat
Codacy
SonarQube
CodeClimate
Coverity Scan
Refactor.io
DeepSource
Checkmarx
codebeatBased on our record, codebeat should be more popular than Domo. It has been mentiond 2 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.
We currently use domo.com and need to display dashboards to screens. Source: almost 4 years ago
CodeBeat โ Automated Code Review Platform available for many languages. Free forever for public repositories with Slack & E-mail integration. - Source: dev.to / almost 5 years ago
CodeBeat is a popular code review tool that provides automated code review and feedback. It displays a code grade on a โ4.0 scaleโ system where the code gets reviewed on a scale of 1 to 4. CodeBeat supports various languages like Python, Ruby, Java, Javascript, Golang, Swift, and more. - Source: dev.to / over 5 years ago
Looker - Looker makes it easy for analysts to create and curate custom data experiencesโso everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.
Codacy - Automatically reviews code style, security, duplication, complexity, and coverage on every change while tracking code quality throughout your sprints.
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.
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.
Sisense - The BI & Dashboard Software to handle multiple, large data sets.
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.