Cython vs. NumPy vs. Wing Python IDE vs. t3rn Comparison Chart

Fast and versatile, the NumPy vectorization, indexing, and broadcasting concepts are the de-facto standards of array computing today. NumPy offers comprehensive mathematical functions, random number generators, linear algebra routines, Fourier transforms, and more. NumPy supports a wide range of hardware and computing platforms, and plays well with distributed, GPU, and sparse array libraries. The core of NumPy is well-optimized C code. Enjoy the flexibility of Python with the speed of compiled code. NumPy’s high level syntax makes it accessible and productive for programmers from any background or experience level. NumPy brings the computational power of languages like C and Fortran to Python, a language much easier to learn and use. With this power comes simplicity: a solution in NumPy is often clear and elegant.

t3rn creates frictionless multichain smart contract execution that's accountable, scalable, and completely trust-free for investors, users, and developers. t3rn intelligently supports the interoperable systems that the multichain future will be built on by working intelligently with any multichain transaction. t3rn smart contract hubs have built-in fail-safes that reverse failed transactions to their last secure point, ensuring that funds aren't lost. Open-source code deployed with full on-chain provenance, allowing original authors to get paid every time their code executes. Defi should never be limited to one blockchain, t3rn makes multichain DeFi possible. Anyone can use the smart contracts stored in our open-source registry or get paid whenever a smart contract you upload is used. Smart contracts can be uploaded as they are, in familiar languages like Solidity, ink!, WebAssembly, or anything that compiles to WASM.