Best Programming Languages for Startups

Solidity is a statically-typed curly-braces programming language designed for developing smart contracts that run on Ethereum. As a relatively young language, Solidity is advancing at a rapid speed. We aim for a regular (non-breaking) release every month, with approximately one breaking release per year. You can follow the implementation status of new features in the Solidity Github project. You can see the upcoming changes for the next breaking release by switching from the default branch (`develop`) to the `breaking branch`. You can actively shape Solidity by providing your input and participating in the language design.

Vyper is a contract-oriented, pythonic programming language that targets the Ethereum Virtual Machine (EVM). Security: It should be possible and natural to build secure smart-contracts in Vyper. Language and compiler simplicity: The language and the compiler implementation should strive to be simple. Auditability: Vyper code should be maximally human-readable. Furthermore, it should be maximally difficult to write misleading code. Simplicity for the reader is more important than simplicity for the writer, and simplicity for readers with low prior experience with Vyper (and low prior experience with programming in general) is particularly important.

Clarity brings smart contracts to Bitcoin. It is a decidable language, meaning you can know, with certainty, from the code itself what the program will do. Clarity is interpreted (not compiled) & the source code is published on the blockchain. Clarity gives developers a safe way to build complex smart contracts for the world's most secure blockchain. The Clarity language uses precise and unambiguous syntax that allows developers to predict exactly how their contracts will be executed. The Clarity language allows users to supply their own conditions for transactions that ensure that a contract may never unexpectedly transfer a token owned by a user. Contracts written in Clarity are broadcasted on the blockchain exactly as they are written by developers. This ensures that the code developers wrote, analyzed, and tested, is exactly what gets executed.