Consider merging these comparisons with 'in' to 'x in (1, 2, 3)'
Probable insecure usage of temp file/directory
hasattr is used to check if the object is callable
Special method 'add' should return 'NotImplemented'
Trusted by world-class engineering teams
DeepSource is the upgrade you deserve
No need to install or configure anything. Works out of the box.
Covers everything that you get from open-source tools
Run continuously with zero effort
No need to maintain complex config files
4x more issues than any other Python analyzer in the market
Automatically format your code with Transformers
Not just identify, but also fix issues with Autofix
Fewer false positives and lesser noise
14saverage analysis time
215,573+total number of checks
Automatically create pull requests with bug fixes with Autofix
Autofix creates patches with fixes that you can review and merge — all in a couple of clicks.
Put your code formatting on autopilot
Never break your CI build again. On every commit, DeepSource runs your favourite formatter and makes another
commit with the fixes.
Loved by developers who ship good code
I'm a big fan of DeepSource. I reviewed quite a few products to better support our engineers and the quality of problems found was far better than Codacy or Code Climate for our Python backend codebase.
Adam Pietrzycki, Engineering
DeepSource is static code analysis for humans. Stop wasting your time setting up and maintaining CLI tools on CI, just use DeepSource.
Ruslan Kuprieiev, Team Lead
DeepSource is a great product which complements projects looking to embrace CI and source code quality as part of a larger DevOps strategy. It's been very easy and a pleasure to use this product.
Lewis McGibbney, NASA Jet Propulsion Laboratory
DeepSource caught a few issues that could have been potentially very, very catastrophic. So, that was really good.
Ramiro Berrelleza, CEO
Thanks to DeepSource, all our code quality practices are now automated. It automatically highlights code quality issues and helps us fix them even before someone reviews the code manually — saving a lot of the reviewer's time.
We use DeepSource for maintaining the quality of Dgraph. It has helped decrease the amount of technical debt since it analyzes every GitHub pull-request. DeepSource has more checks than any other tools we tried before.