
Codacy
SonarQube
CodeClimate
CodeFactor.io
ESLint
Coveralls
SensioLabs Insight
Source Insight
Livebook
Jupyter
Wolfram Language
Deepnote
iPython
SolveMyBook
GitNotebooks
Childbook AI
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.
Codacy
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Based on our record, Livebook should be more popular than Codacy. It has been mentiond 7 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: almost 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 / about 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
How's the maturity compared to Livebook? https://livebook.dev/. - Source: Hacker News / over 1 year ago
2) Start using IEx or LiveBook for any day to day scripting that I would normally use Python for. - Source: dev.to / over 1 year ago
Definitely look into Livebook and Elixir, and the whole ecosystem around it, including: - https://github.com/elixir-nx/axon Multi-dimensional arrays (tensors) and numerical definitions for Elixir - https://github.com/elixir-nx/scholar Pre-trained Neural Network models in Axon (+ Models integration) - https://github.com/elixir-explorer/explorer (for offloading large work to remote containers) -... - Source: Hacker News / almost 2 years ago
I love the approach, it's similar to what the Elixir folks have been working on with Livebook https://livebook.dev which seems somewhat more refined on the UI side + the benefits of distributed erlang/elixir (e.g. a livebook can interface with a live system and interact with the remote application/gpu etc). - Source: Hacker News / almost 2 years ago
You might also like Elixir Livebook! :) https://livebook.dev/. - Source: Hacker News / about 2 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.
Jupyter - Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages. Ready to get started? Try it in your browser Install the Notebook.
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.
Wolfram Language - Knowledge-based programming
CodeFactor.io - Automated Code Review for GitHub & BitBucket
Deepnote - A collaboration platform for data scientists