Crystal vs. Haskell vs. Python vs. gitStream Comparison Chart

Every expression in Haskell has a type that is determined at compile time. All the types composed together by function application have to match up. If they don't, the program will be rejected by the compiler. Types become not only a form of guarantee, but a language for expressing the construction of programs. Every function in Haskell is a function in the mathematical sense (i.e., "pure"). Even side-effecting IO operations are but a description of what to do, produced by pure code. There are no statements or instructions, only expressions that cannot mutate variables (local or global) nor access state like time or random numbers. You don't have to explicitly write out every type in a Haskell program. Types will be inferred by unifying every type bidirectionally. However, you can write out types if you choose, or ask the compiler to write them for you for handy documentation.

gitStream lets you configure rules that decide how each pull request is treated based on the content of the code. These rules automatically find the right reviewer, check for deprecation, add context tags, and much more. The practice of improving merge efficiency by classifying pull requests based on change size and complexity. Automating the merge path based on the unique merge conditions allows work to flow more efficiently. gitStream adds context to your PRs with labels and comments. This added context empowers your developers to make the best decisions about how and when to work. Speed up time to merge by applying an auto-approve check on pull requests with simple changes like minor version updates of internal libraries. Automate change requests based on org. level coding practices like moving away from deprecated services.