A Dune Love story: From Liquidity to Love
By OCamlPro & Origin Labs
Writing smart contacts may often be a burdensome task, as you need to learn a new language for each blockchain you target. In the Dune Network team, we are willing to provide as many possibilities as possible for developers to thrive in an accessible and secure framework.
There are two kinds of languages on a blockchain: “native” languages that are directly understood by the blockchain, but with some difficulty by the developers, and “compiled” languages that are more transparent to developers, but need to be translated to a native language to run on the blockchain. For example, Solidity is a developer-friendly language, compiled to the native EVM language on the Ethereum blockchain.
Dune Network supports multiple native languages:
- Love, a type-safe language with a ML syntax and suited for formal verification
- Michelson, inherited from Tezos, also type-safe, much more difficult to read
- Solidity, the Ethereum language, of which we are currently implementing the interpreter after releasing its parser in OCaml a few weeks ago
On the side of compiled languages, Dune Network supports:
- Liquidity, a type-safe ML language suited for formal verification, that compiles to Michelson (and allows developers to decompile Michelson for auditing)
- All other Tezos languages that compile to Michelson (for example Ligo, SmartPy, Albert...)
For all these reasons, we are pleased to announce a wedding: Liquidity now supports the Love language!
Liquidity now supports generating Love smart contracts
This is great news for Love, as Liquidity is easier to use, and comes with an online web editor, Try-Liquidity. Liquidity is also being targeted by the ConCert project, aiming at verifying smart contracts with the formal verification framework Coq.
The Smart Contract Framework on the Dune Network
Compiling contracts from Liquidity to Love has several benefits compared to Michelson. First, Love contracts are about 60% smaller than Michelson contracts, hence they are 60% cheaper to deploy. Also, the compiler outputs a Love contract that can be easily read and audited.
The Love compiler is part of the Liquidity project. It works as follows:
- The Liquidity contract is type-checked by the Liquidity compiler. The strong type system of liquidity enforces structural & semantic properties on data.
- The typed Liquidity contract is compiled to a typed Love contract. During this step, the Liquidity contract is scanned to check if it complies with the Love requirements (correct use of operators, no reentrancy, etc.).
- The Love contract is type-checked. Once this step is completed, the contract is ready to be deployed on the chain!
These are some of the resources you might find interesting when building your own smart contracts:
- The Love Language Documentation: https://dune.network/docs/dune-dev-docs/love-doc/introduction.html
- Try-Liquidity: https://www.liquidity-lang.org/edit/
- The Liquidity Website: https://www.liquidity-lang.org/
- The Dune Network Website: https://dune.network
About Origin Labs
Origin Labs is a company founded in 2019 by the former blockchain team at OCamlPro. At Origin Labs, they have been developing Dune Network, a fork of the Tezos blockchain, its ecosystem, and applications over the Dune Network platform. At OCamlPro, they developed TzScan, the most popular block explorer at the time, Liquidity, a smart contract language, and were involved in the development of the core protocol and node. Feel free to reach out by email: firstname.lastname@example.org.
Au sujet d'OCamlPro:
OCamlPro is a R&D lab founded in 2011, with the mission to help industrial users benefit from state-of-the art programming languages like OCaml and Rust.
We design, create and implement custom ad-hoc software for our clients. We also have a long experience in developing and maintaining open-source tooling for OCaml, such as Opam, TryOCaml, ocp-indent, ocp-index and ocp-browser, and we contribute to the core-development of OCaml, notably with our work on the Flambda optimizer branch.
Another area of expertise is that of Formal Methods, with tools such as our SMT Solver Alt-Ergo (check our Alt-Ergo Users'). We also provide vocational trainings in OCaml and Rust, and we can build courses on formal methods on-demand. Do not hesitate to reach out by email: email@example.com.