Web3 Development

AlgoMLAlgorand Smart Contract Language for Windows

Learn what AlgoML is, how it compiles to TEAL, how to install it on Windows safely and how it compares with other Algorand developer tools.

Free Open source Windows: Yes Updated 14 Jun 2022
10 min read Last update 14 Jun 2022 github.com/petitnau/algoml

AlgoML is a domain-specific language for specifying smart contracts on Algorand, written for developers who want to describe contract logic at a higher level than raw TEAL. Its compiler turns AlgoML source code into TEAL scripts that the Algorand network can execute. The program is free and open source, and a Windows build or installer is available, so you can work on contracts from an ordinary desktop.

Before you invest time in it, keep two points in mind. The project's last code update was on June 14, 2022, more than two years before this page was written, so treat AlgoML as a reference and learning tool rather than an actively maintained product. Its ideas about declarative contracts and built-in static checks, however, remain useful for anyone studying how Algorand contracts are structured.

02

What Is AlgoML and Who Is It For?

AlgoML stands for Algorand Modelling Language. It is a domain-specific language, which means it is built for one job: specifying Algorand smart contracts. Instead of general-purpose code, you write a description of how a contract should behave, and the compiler produces the executable TEAL script.

The main audience is developers who already understand Algorand accounts and transactions but find TEAL too low-level for everyday contract design. Researchers and students who study smart contract correctness also benefit, because the language makes contract intent easier to inspect. Someone who only needs a finished application, with no interest in how contracts are written, will probably find more value in other tools.

A useful way to think about AlgoML is as a specification layer. You decide what the contract must guarantee, such as who may call a function, what state it stores and when funds may move. The language then carries those decisions into the output, where a single misplaced instruction could otherwise change the outcome.

03

How Declarative Contract Specifications Differ from Hand-Written TEAL

TEAL is a stack-based language, and writing it by hand means tracking every value on the stack, every branch and every field check yourself. That is manageable for small contracts but becomes error-prone as logic grows. A single missed check can leave a path open that the author never intended to expose.

AlgoML takes a declarative approach. A contract is described in terms of its states and the conditions under which transitions are allowed. The reader sees the rules first, and the compiler handles the mechanical translation into instructions. For a lottery, for example, you state who may join, what each player must pay and how the winner is chosen, rather than writing the branch logic directly.

This does not remove the need to understand TEAL. When something behaves unexpectedly, you still need to read the compiled output and trace it back to your specification. Good habits, such as keeping specifications small and reviewing generated code after each change, make that tracing much easier.

04

Why Built-In Static Checks Matter for Smart Contract Code

Static checks examine code before it runs, looking for problems without executing it. In smart contract work, they are valuable because errors often cost real money and cannot always be undone. AlgoML's compiler includes checks designed to rule out common mistakes that are easy to make in lower-level languages like TEAL.

Consider a contract that updates a stored owner but forgets to verify who is allowed to make the change. A check that flags missing authorization rules can catch that pattern before deployment. The same logic applies to state variables that are read but never initialized, or to paths in which funds could be stranded.

Static checks reduce risk, but they do not replace testing or independent review. A check can only catch the kinds of errors it was written to find. Treat the compiler's feedback as one layer of a broader process that also includes test networks, sample transactions and, for valuable contracts, a professional audit.

05

Key features

Automated Market Makers

A ready-made example of an automated market maker, a contract pattern where a pool of two assets is priced by an on-chain formula instead of an order book. Reading it shows how AlgoML handles token balances, swaps and state updates in one readable specification. It is a practical starting point for DeFi experiments.

Blind Auction

An example of a sealed-bid auction in which bidders commit offers without revealing amounts until the auction closes. It demonstrates how a contract can enforce timing rules and settle payments automatically. Developers can adapt the pattern to their own auction logic.

Chain-Based Ponzi Scheme

A demonstration contract for a payout structure in which each new participant's payment funds earlier ones. It is included to show how such logic can be specified and checked, not as a model to deploy. Studying it helps you recognize the patterns a careful audit should flag.

Crowdfunding

A campaign contract that collects funds toward a goal and typically releases them only if the target is met in time. It shows conditional payments and time-based rules expressed declaratively. Adapting it teaches how refunds and milestones are modeled on-chain.

King of the Algo Throne

A game contract in which players take the throne by paying the current king, and the previous holder is paid out. It demonstrates how a stateful contract records a current owner and updates that record on each transaction. It is a compact example of game state on Algorand.

2-Players Lottery

A lottery for two participants, where both players commit a stake and the contract selects the winner under fixed rules. It shows how a contract holds funds, enforces a fixed set of participants and pays out when the game ends. Its small size makes it easy to read line by line.
06

Supported coins

AlgoML targets the Algorand network only. Its documentation names Algorand, and because the compiler outputs TEAL, the scripts it produces are intended for Algorand smart contracts. The language also includes Algorand-specific constructs, such as the @newtok precondition, which requires the caller to mint a new token at the same moment the contract is created.

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How to install Algoml on Windows

  1. 1

    Find the official release

    Open the project's GitHub repository at github.com/petitnau/algoml and go to the Releases page. Download only from the official website or the GitHub Releases page, and avoid mirror sites that repackage the file.

  2. 2

    Verify the download

    Look for a published SHA-256 checksum or a digital signature next to the file. On Windows, open PowerShell and run Get-FileHash followed by the file path, then compare the result with the published value. If the values do not match, delete the file and download it again.

  3. 3

    Install or extract the program

    If the release includes an installer, run it and follow the prompts. If it is a Windows build in an archive, extract it to a folder you control, such as C:\Tools\AlgoML, and launch it from there. Keep the folder in a location you can back up easily.

  4. Handle source-only releases

    If the release contains only source code, follow the build instructions in the repository's documentation. Those build-time tools are needed only to compile the program itself and are not requirements for running the finished program.

08

How to use Algoml

AlgoML works best as a repeating loop: write, compile, inspect and test. The steps below outline a practical first session.

  1. Start from one of the example contracts, such as the 2-players lottery, and read it from top to bottom before changing anything. This shows you how the language expresses states, conditions and payments.
  2. Write your own specification in a plain text file, keeping one contract per file. Smaller files make errors easier to trace back to their source.
  3. Run the compiler on your file to generate TEAL. Open the output and confirm that the instructions match what you intended, especially around authorization and payments.
  4. Resolve every error and warning from the static checks before moving on. These messages often point to mistakes that would be hard to spot in raw TEAL.
  5. Deploy the compiled script to an Algorand test network first and call each function with sample accounts. Only consider the main network after the contract behaves correctly in every case you tested.

Keep a short log of each change and its result. Over several iterations, that log becomes a useful reference for understanding how your specification maps to the final script.

09

Pros & cons

Pros
  • Free and open source, so you can read the compiler and example contracts
  • Declarative style makes contract intent easier to read than raw TEAL
  • Built-in static checks catch some common low-level errors
  • Six example contracts cover DeFi, auctions, games and crowdfunding
  • Available as a Windows build or installer
Cons
  • Last code update was on June 14, 2022, so recent maintenance is not visible
  • Focused only on Algorand, so it does not help with other blockchains
  • Productive use requires a working knowledge of Algorand concepts
  • Static checks do not replace testing or a professional audit
  • Compiled TEAL still needs review, since that is what runs on-chain
10

Is Algoml safe?

AlgoML is a development tool rather than a wallet, but the contracts it compiles can hold and move funds, so caution is warranted. Its last code update was in June 2022, which makes it better suited to study and prototyping than to production deployment. Check the latest version on the official website before relying on it. Download only from the official website or the project's GitHub repository, and compare the SHA-256 checksum or signature with the published value before running anything. Never paste a seed phrase or account mnemonic into a third-party website or a form that claims to help with deployment. Test every contract on a test network with disposable accounts, and have any contract that will hold real value reviewed by an independent auditor.

  • Official source only. Download from github.com/petitnau/algoml. Ignore ads and lookalike domains.
  • Check the SHA-256. Compare the installer hash with the value the developer publishes before running it.
  • Never share your seed phrase. No developer, support agent or website — including CryptApps — will ever ask for it.
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Alternatives

Among the other Algorand developer tools in this catalog, AlgoML occupies a specific niche. It is a language for specifying contracts, while the others focus on different stages of the workflow. AlgoKit is a command-line toolkit for building on Algorand, and VibeKit gives AI coding assistants the skills and tools to work on the same network. Algojig and Graviton are testing tools, the first for smart contracts and the second for blackbox TEAL tests. Conduit is a data pipeline framework rather than a development tool. The Algorand Visual Studio Extension takes another route, compiling C# to TEAL inside Visual Studio. If you want to write contracts at a higher level, AlgoML is built for that job. If you need testing, tooling or indexed data, pair your code with one of the others.

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Specifications

Price
Free
Type
Open source
License
—
Latest version
—
Last update
14 Jun 2022
Windows support
Yes (Windows build or installer)
Source code
github.com/petitnau/algoml
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Frequently asked questions

AlgoML is used to write Algorand smart contracts in a declarative language that compiles into TEAL. Developers use it to describe what a contract should enforce, such as payments, timing rules and state changes, without hand-writing low-level stack instructions. The project includes example contracts for DeFi, auctions, games and crowdfunding that show the language in practice.

Yes. AlgoML is free and open source, so you can download it, study its code and use it without a license fee. Free use of the language does not cover the ordinary costs of deploying and calling contracts on the Algorand network.

Yes, the project offers a Windows build or installer, so you can run it on a regular Windows PC. Download the file from the GitHub Releases page, check its checksum, and then install or extract it. Once it is in place, you can begin with the example contracts.

It is reasonably safe when you get it from the official GitHub repository and verify the file before running it. Compare the SHA-256 checksum or signature against the published value, and never use a copy from an unknown site. A contract's safety depends on its logic, so test every contract carefully before deployment.

The most recent code update was on June 14, 2022, which is more than two years ago. That means the project should be treated as a reference and learning resource rather than a tool with ongoing updates. Review the repository's recent activity before using it for any production project.

You do not need TEAL to write contracts, because AlgoML lets you describe logic at a higher level. Understanding TEAL still helps when you read the compiled output, debug unexpected behavior or confirm that the generated code matches your intent. Basic familiarity with Algorand accounts and transactions is also useful.

AlgoKit is a command-line toolkit for building on Algorand, while AlgoML is a language for specifying contracts. They address different steps of the workflow. Choose AlgoML when you want a higher-level way to write contract specifications, and look at AlgoKit when you need general project tooling.

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Verdict

AlgoML suits Algorand developers, students and researchers who want to specify smart contracts at a higher level than TEAL and who value clear, checkable logic. It is free, open source and available for Windows, and its example contracts make a useful study resource. Its last code update in June 2022 limits it mainly to learning, prototyping and research rather than active production work. Anyone planning to deploy contracts that hold real value should review the code, test thoroughly on a test network and obtain an independent audit.

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