DeepSource
Codacy
CodeClimate
SonarQube
codebeat
ESLint
CodeMeter
DeepScan
Metabase
Tableau
Microsoft Power BI
Looker
Redash
Grafana
Domo
Grow
DeepSource helps you automatically find and fix issues in your code during code reviews, such as bug risks, anti-patterns, performance issues, and security flaws. It takes less than 5 minutes to set up with your Bitbucket, GitHub, or GitLab account. It works for Python, Go, Ruby, Java, and JavaScript. It helps developers, who care about writing good code, and engineering teams save time in code reviews and systematically improve code quality and security.
DeepSource MetabaseMetabase might be a bit more popular than DeepSource. We know about 14 links to it since March 2021 and only 14 links to DeepSource. 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.
Recently, there was a Java meetup held at work (Deepsource) where I gave my first ever talk, "How GraalVM improves Ruby". - Source: dev.to / over 1 year ago
I’m talking about publishing list of top customers for a product. Let’s take a look at https://deepsource.io/ is it really used by NASA, Visa and so on? Do they really get their permission to use their logo and saying “hey, Visa is using our tool” or it sits in their privacy policy or terms of service. Source: over 1 year ago
Code quality checks like DeepSource, SonarCloud etc. - Source: dev.to / over 1 year ago
DeepSource - DeepSource continuously analyzes source code changes, finds and fixes issues categorized under security, performance, anti-patterns, bug-risks, documentation and style. Native integration with GitHub, GitLab and Bitbucket. - Source: dev.to / over 1 year ago
Even among all this non-sense & chaotic style of interviewing, I happen to have one of my best interviewing experience with deepsource. - Source: dev.to / almost 2 years ago
I've never used Tableau, but heard a lot of hate about it. However, in my previous role, we were big fans of Metabase (https://metabase.com). You can also self-host it, which was a huge win for us. - Source: Hacker News / 4 months ago
The solution really depends on what sort of problems you are trying to solve and who your customers are. There are a fair few low-code solutions out there for reporting and data visualisation that are great for finance and marketing teams for example. e.g. https://metabase.com/ , https://evidence.dev/ For enterprise processes I'd go with Camunda (solely based on recommendations and not first hand experience).... - Source: Hacker News / about 1 year ago
Metabase | https://metabase.com | REMOTE | Full-time | Backend, Frontend, Full Stack, and DevOps engineers. - Source: Hacker News / over 1 year ago
With a few simple steps, you can deploy Metabase on Microsoft Azure using Azure Container Apps. This process works for any Docker container hosted on Docker Hub, not just Metabase, so you can try it with your containers. - Source: dev.to / almost 2 years ago
Try metabase.com its built with node and uses plugins. Source: about 2 years ago
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.
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.
Microsoft Power BI - BI visualization and reporting for desktop, web or mobile
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.
Looker - Looker makes it easy for analysts to create and curate custom data experiences—so everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.
