Let me introduce a list of the best open-source findings for October 2019.
This includes web and mobile development, developer tooling, and Big Data tooling.
Beautiful credit card component with smooth animations.
Minimalistic pixel-editor, that feels like
Written in Rust.
Swift function programming! Supports "emulated HKT", algebraic data types, and ad-hoc polymorphism.
Written in Swift.
Beautiful data visualisation library.
Written in TypeScript.
spleeter makes it easy to train source separation model (assuming you have a dataset of isolated sources), and provides already trained state of the art model for performing various flavour of separation.
Written in Python.
An interactive web UI for gRPC, along the lines of Postman.
Written in Go.
Polynote is a different kind of notebook. It supports mixing multiple languages in one notebook, and sharing data between them seamlessly. It encourages reproducible notebooks with its immutable data model. Supports: Scala, Python, SQL, Vega.
Written in Scala and Python.
Draw graphs and charts as text! This is a must for writing a great documentation.
Has lots of plugins for different tools, like:
Here is the list of the best practices for mostly any programming language. Why "mostly"? Because it, obviously, does not cover all ~3600 existing languages. But, you can always add your favourite language in case it is missing. PRs are welcome!
That's it for today! Make sure to subscribe to my channel if you liked this list. I am going to post new ones each month. Also, feel free to post any cool projects you know in the comments. Feedback is always welcome.