Top 6 Smart Contract Languages in 2024 | Chainlink (2024)

If you’re looking to become a Web3 developer, you need to know how to write smart contracts—the backbone of all Web3 applications.

In a nutshell, smart contracts are computer programs that are deployed and executed on a blockchain network, offering deterministic guarantees that enable multiple parties to come to an agreed-upon, tamper-proof result.

There are a wealth of novel smart contract use cases being built today, from financial applications to games, to offer users more equitable access to financial primitives, stronger, trust-minimized guarantees, and sovereign ownership over digital assets.

Top Smart Contract Languages

Top 6 Smart Contract Languages in 2024 | Chainlink (1)

Solidity

Solidity is the most popular blockchain programming language of the Ethereum Virtual Machine (EVM), also widely used across a range of EVM-compatible blockchains.

Solidity Pros

Solidity is a high-level, Turing-complete language, which means developers can write code substantially faster as many of the low-level concerns are abstracted away. Solidity syntax is also similar to Javascript, one of the most popular programming languages in the world, making it a great starting point for developers transitioning to Web3.

For new smart contract developers, another perk of Solidity is that it comes with built-in protective measures—which can prevent costly mistakes. And as the most widely used language in Web3, Solidity developers have access to more libraries and tooling, better documentation, and increased developer support in forums.

Solidity Cons

For developers who don’t have much experience in object-oriented programming, Solidity’s syntax can sometimes be confusing, and its function overloading features are often detrimental in the context of code readability. There are also a few quirks of Solidity development that developers may not be used to, such as its inability to natively support decimals.

For advanced Web3 developers, coding in Solidity often results in higher gas costs compared to lower-level languages.

Vyper

Vyper is the second most widely used Web3 programming language after Solidity for EVM-compatible blockchains. It is a contract-oriented, pythonic programming language with strong typing, small compiler code, and efficient bytecode generation.

Vyper Pros

Vyper code looks and feels like Python—making it one of the best starting points for Python developers jumpstarting their Web3 development journey.

Vyper also has a simple language and compiler implementation, which helps with code readability and auditability—making it easier for developers to build secure smart contracts in production. And as the second most adopted smart contract programming language, Vyper has many of the same tooling and resources as Solidity.

Vyper Cons

Vyper still lacks the widespread community support that Solidity has, and there are Solidity-native tools that are currently unavailable in Vyper.

Vyper also lacks modifiers, class inheritance, and recursive calls, and the programming language is not Turing-complete. The lack of many of these features is down to deliberate design choices with the goal of maximizing contract security and auditability, but it requires extra work from developers to work around these limitations. And as a newer language, Vyper is still under development, which means fewer features.

Other Languages

Solidity and Vyper are the two powerhouses in smart contract development today, but there are also a variety of emerging blockchain coding languages.

Yul

Yul is an intermediate language for Ethereum that supports the EVM.

Built to translate straightforwardly to bytecode, Yul excels at optimizing smart contracts and reducing gas costs for more advanced Web3 developers. While Yul is a fantastic learning resource, it’s best for writing specific, performant code. As a standalone coding language, Yul currently lacks tooling and ecosystem support.

Cairo

Cairo is a Turing-complete smart contract programming language built for creating STARK-provable programs for general computation.

Cairo is predominantly used within StarkNet—a layer-2 blockchain built on top of Ethereum—and its core feature is that program logic is converted into STARK proofs, providing verifiable computation that’s settled on the Ethereum blockchain. While it is a powerful language for building fast and scalable smart contracts, Cairo is largely unsupported outside of the StarkNet/StarkEx ecosystem.

Rust

Rust is a popular smart contract programming language for many non-EVM-compatible blockchains such as Polkadot and Solana, and unlike many of the other languages listed here, it’s not just for Web3 development.

The Rust programming language itself is efficient, secure, and reduces unnecessary bloat—Rust data structures are quite compact, making it a good fit for blockchain space constraints. That said, many blockchains don’t yet have full-fledged tooling or robust support for the Rust programming language.

Move

Move is a Rust-based smart contract programming language originally developed for Meta’s Diem blockchain.

Move introduces a novel system built on three core premises—first-class resources, improved safety, and upgrade verifiability. Most notably, Move’s programming language integrates resources at the type level rather than supporting any single type of coin (i.e., ether or bitcoin) for blockchain-agnostic integrations. Today, Move is primarily used within the Aptos and Sui blockchains, and is largely unsupported outside of that.

How to Choose the Best Smart Contract Programming Language

Different blockchains support different languages, which means there’s no one-language-fits-all solution for smart contract developers. If there’s a coding language that you’re already comfortable with, the non-exhaustive chart below will help identify the blockchains that support your preferred language for smart contracts.

Top 6 Smart Contract Languages in 2024 | Chainlink (2)

For developers looking to jump into Web3 without knowing which blockchain they want to build on or which language they want to learn, Solidity and Vyper are the best languages for exploring how smart contracts work and what kind of developer tooling to look out for. Then you can branch out from there.

Keep in mind that the Web3 development space is constantly growing and evolving—Web3 developers make up only a fraction of the entire developer population.

Top 6 Smart Contract Languages in 2024 | Chainlink (3)

While languages may wax and wane in popularity, a deep understanding of smart contracts and how they work across blockchains will always serve you well. The most important thing is to dive in and get started.

Top 6 Smart Contract Languages in 2024 | Chainlink (2024)

FAQs

Is it worth learning Solidity in 2024? ›

Solidity, the programming language used for creating smart contracts on Ethereum, is crucial for anyone looking to dive into the world of Blockchain development. This article will outline the fundamental knowledge, skills, and steps needed to become a proficient Solidity developer in 2024.

Is Rust better than Solidity? ›

In terms of security, Rust has the advantage. All thanks to the memory security features. For Solidity, they are not as robust as in the case of Rust.

Who has the best smart contracts? ›

The top 10 best smart contract platforms in 2024 are Ethereum, Binance Smart Chain (BSC), TRON, Arbitrum, Cardano, Solana, Polygon, Algorand, Avalanche, and Tezos.

Should I learn Vyper or Solidity? ›

Neither language is expressly better than the other because they each have different use cases. Because of its lack of flexibility and the absence of a deep community of developers, Vyper is optimal for uses where the highest level of security is necessary, and new web3 developers should start by learning Solidity.

What language is Solidity most like? ›

Solidity syntax is also similar to Javascript, one of the most popular programming languages in the world, making it a great starting point for developers transitioning to Web3.

Which programming language is demand in 2024? ›

Additionally, DevJobsScanner, which analyzed over 12 million job requirements, identified that JavaScript/TypeScript, Python, Java, C++, and Ruby are the most in demand. Therefore, these 12 languages are likely to be the ones to learn in 2024.

Which language is best to learn 2024? ›

Best languages to learn in 2024
  • English. English is still one of the best languages to learn as it is the official dialect of significant countries such as New Zealand, Australia, the United Kingdom, and the United States of America. ...
  • Korean. ...
  • Mandarin Chinese. ...
  • 4. Japanese. ...
  • Portuguese. ...
  • French. ...
  • Indonesian. ...
  • Spanish.
Feb 1, 2024

Should I learn Solidity or Python? ›

Starting with Solidity is recommended as it's specifically designed for writing smart contracts on Ethereum. However, understanding Python and JavaScript can be beneficial for front-end development and testing.

Is Solidity still in demand? ›

Solidity is a high-level programming language with which smart contracts are created based on the Ethereum blockchain. The demand for specialists versed in Solidity is steadily growing as blockchain technology is becoming in demand in more and more different areas of life.

Does Solana use Rust or Solidity? ›

Programming languages

EVM primarily uses Solidity to write smart contracts, while Solana uses Rust. There is a framework called the Anchor framework that allows you to build in Rust with many of the tools you are familiar with from EVM, but it is still Rust.

What is the demand for Solidity in 2024? ›

The demand for Solidity developers is expected to continue to grow exponentially as more businesses and organizations adopt blockchain technology. This is due to the increasing complexity of DApps and the need for experienced developers to build secure and scalable smart contracts. 2.

Can I make money with smart contracts? ›

Smart contracts are a great means for people and businesses to generate extra passive income with the power of blockchain. By considering various ways of yield farming, staking, and crypto lending, you will be capable of establishing sustainable streams of income that entail little effort on your part down the line.

Are smart contracts hard to make? ›

If you have no experience, it may take you a few months to get comfortable with coding a simple smart contract. Developers with more experience might need just days or weeks. Once created, your smart contract can take anywhere from a handful of seconds to minutes to complete.

Which industries are using smart contracts? ›

Take a quick look at various industries where Smart Contracts are revolutionizing operations.
  • Insurance. The insurance sector is notorious for handling the maximum number of disputes. ...
  • Supply Chain Management. ...
  • Real Estate. ...
  • Financial Data Recording. ...
  • Healthcare.
Jan 12, 2024

Is Solidity similar to Python? ›

Let's delve into Solidity's fundamental concepts by relating them to Python: Variables and Data Types: In both languages, variables are used to store data. Solidity supports integers, booleans, and strings, much like Python. Functions: Functions in Solidity and Python serve the same purpose: modularity.

What language is used in Web 3 smart contract? ›

Web3 Programming Languages for Writing Smart Contracts. Each blockchain uses a specific type of web3 programming language to write smart contracts, and these are the most popular 8 languages: Solidity, Vyper, Huff, Rust, Go, Move, Cairo, Haskell. This list is not in a specific order.

What language does Solana use for smart contracts? ›

You can create Solana smart contracts primarily with Rust, but other languages such as C, C++, Solidity (via Solang compiler) and Python (via Seahorse framework) are also suitable.

What is the best efforts language in a contract? ›

“Best efforts” is at the top of the scale and is generally perceived to mean that a party must do all that can possibly be done to seek and obtain an end, even if the impact would be materially adverse to the seeking party and even if there is a material monetary cost to the action.

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