When comparing Kdevelop with kdev-python vs Ninja, the Slant community recommends Kdevelop with kdev-python for most people. In the question“What are the best Python IDEs or editors?” Kdevelop with kdev-python is ranked 17th while Ninja is ranked 24th. The most important reason people chose Kdevelop with kdev-python is:
PyCharm is amazing and easily the most feature option out there. But KDevelop is faster and has all the features needed for python develop. Opening new files, moving from file to file, code and syntax checks, everything happens instantly. In the end the speed is what won me over to use KDevelop, when code is in my mind I don't want to wait on my IDE.
Specs
Ranked in these QuestionsQuestion Ranking
Pros
Pro Blazingly fast
PyCharm is amazing and easily the most feature option out there. But KDevelop is faster and has all the features needed for python develop. Opening new files, moving from file to file, code and syntax checks, everything happens instantly.
In the end the speed is what won me over to use KDevelop, when code is in my mind I don't want to wait on my IDE.
Pro Excellent syntax highlighting
Kdevelop has very smart syntax and semantic syntax highlighting.

Pro Real-time static analysis
Kdevelop has a pretty powerful and sophisticated implementation of static analysis for Python. It's capable of pretty good type inference, tracking types and the expected groking of inheritance trees.
Pro Best Vim bindings in an IDE
Most IDEs have very limited vim bindings, but KDevelop runs on the Kate editor. Kate is one of the most robust editors in the Linux world and is subsequently very functional. The Vim bindings are very close to complete with very few holes.
Pro Simple set up
Once dependencies like maven are installed it is up and running in minutes with one simple command.
Pro Easy horizontal scaling
Ninja is stateless by design. This makes horizontal scaling very easy and just a matter of adding servers.
Cons
Con Works with no problems only on Linux
KDevelop is an IDE for the KDE platform. Even though it's cross-platform, it's mostly targeted at Linux systems and the versions for other operating systems are highly experimental.
Con Little user choice in organization
Since most of the code and folder structure are automatically generated, this leaves little room to the developer on how they will organize their project.
