I love that it is easy to setup and that it is extremely helpful for maintaining any kind of project.

Deepsource is easy to set up on GitHub and in minutes, you can have it running on your repos. It has several features but they are organized in a modular way. For example, I use only basic static analysis, and I am free to ignore features I don't care (e.g., transformers, autofixes). I use it for Python and I appreciate the explanations for the issues found. It is likely that using Deepsource improved my Python skills. DISCLAIMER: I was promised a 20$ Amazon Gift Card to write this review. This has nudged me to write the review, but everything I write corresponds to what I think and it has not been influenced by the monetary reward.

DeepSource fits easily into InsurTechnix's workflow, and gives us confidence in the quality of the code we deploy to our customers. InsurTechnix builds software for advanced cross-platform cyber-hygiene. Because our customers trust InsurTechnix to analyse their most sensitive data we believe in defence-in-depth at all levels of our product. DeepSource's highly detailed automated analysis is a excellent complement to high-level peer review of source code PRs.