SonarCloud, a core component of the Sonar solution, is a Software-as-a-Service (SaaS) tool that systematically helps developers and organizations deliver Clean Code. SonarCloud easily integrates into the cloud DevOps platforms and extends the CI/CD workflow to perform automated code reviews to detect and help fix issues in the code.
Supported by the Sonar Clean as You Code methodology, only code that meets the defined quality standard can be released to production. SonarCloud 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.
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Based on our record, Deepnote should be more popular than SonarCloud. It has been mentiond 32 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.
Deepnote - A new data science notebook. Jupyter is compatible with real-time collaboration and running in the cloud. The free tier includes unlimited personal projects, up to 750 hours of standard hardware, and teams with up to 3 editors. - Source: dev.to / 5 months ago
We looked into many of these issues with Deepnote (YC S19) [https://deepnote.com/]. What we found is that these are not necessarily problems of the underlying medium (a notebook), but more of the specific implementation (Jupyter). We've seen a lot of progress in the Jupyter ecosystem, but unfortunately almost none in the areas you mentioned. - Source: Hacker News / about 1 year ago
Upload your ipynb to Deepnote and publish as an app. That simple. https://deepnote.com. - Source: Hacker News / about 1 year ago
Using Deepnote, we'll create a Python notebook and upload the two GeoJSON files into a data directory. - Source: dev.to / over 1 year ago
Deepnote - A new kind of data science notebook. Jupyter-compatible with real-time collaboration and running in the cloud. Free tier includes unlimited personal projects, up to 750 hours of standard hardware and teams with up to 3 editors. - Source: dev.to / over 1 year ago
Sonarcloud.io — Automated source code analysis for Java, JavaScript, C/C++, C#, VB.NET, PHP, Objective-C, Swift, Python, Groovy and even more languages, free for Open Source. - Source: dev.to / over 1 year ago
Website has been improved with a lot of UI enhancements and updated content. On CI side, dependabot is now enabled as well as SonarCloud. Source: over 1 year ago
I am also using [SonarCloud](https://sonarcloud.io/) for static code analysis to minimize the chances of bugs. Source: about 2 years ago
Ideally, software can quickly go from development to production. Continuous deployment and delivery are some processes that make this possible. Continuous deployment means establishing an automated pipeline from development to production while continuous delivery means maintaining the main branch in a deployable state so that a deployment can be requested at any time. Predecos uses these tools. When a commit goes... - Source: dev.to / about 2 years ago
There are tools that scan a repo and automatically drop a comment on a PR if it picks up smells on new code. We used Sonarcloud at a previous job. Source: about 2 years ago
Amazon SageMaker - Amazon SageMaker provides every developer and data scientist with the ability to build, train, and deploy machine learning models quickly.
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.
Apache Zeppelin - A web-based notebook that enables interactive data analytics.
Snyk - Snyk helps you use open source and stay secure. Continuously find and fix vulnerabilities for npm, Maven, NuGet, RubyGems, PyPI and much more.
Saturn Cloud - ML in the cloud. Loved by Data Scientists, Control for IT. Advance your business's ML capabilities through the entire experiment tracking lifecycle. Available on multiple clouds: AWS, Azure, GCP, and OCI.
Codacy - Automatically reviews code style, security, duplication, complexity, and coverage on every change while tracking code quality throughout your sprints.