algokit algorand client developer-tools explorer typescript web
8 Open Issues Need Help Last updated: Jun 20, 2025

Open Issues Need Help

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AI Summary: Implement support for Algorand Standard Asset (ASA) ARC-62 in the AlgoKit Lora explorer to accurately display the circulating supply of assets that adhere to this standard. This involves updating the data fetching and display logic within Lora to correctly interpret and present the circulating supply information as defined by ARC-62.

Complexity: 4/5
good first issue

TypeScript
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AI Summary: Implement locale-specific number formatting for all numerical amounts displayed in AlgoKit Lora, ensuring compatibility with various locales and handling large numbers and decimals correctly. This involves creating locale-aware formatting utilities, updating core display and form components, and thorough testing across different locales.

Complexity: 4/5
good first issue

TypeScript
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AI Summary: The task is to enhance the Algorand AlgoKit Lora tool to handle and display large Algo values exceeding the JavaScript Number.MAX_SAFE_INTEGER limit (2^53 - 1). This likely involves using a BigInt library or alternative representation to accurately process and present these larger amounts within the application's user interface and data handling.

Complexity: 4/5
good first issue

TypeScript
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AI Summary: The task is to improve the user interface (UI) of Lora, an Algorand network explorer, by increasing its information density. This likely involves redesigning elements of the UI to display more data efficiently without sacrificing usability or clarity. The specific changes required are yet to be defined.

Complexity: 4/5
good first issue

TypeScript
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AI Summary: Implement visualization for ARC-28 events within the Algorand AlgoKit Lora tool. This involves enhancing the existing visual transaction view and potentially adding new features to display and interpret data related to ARC-28 compliant events, ensuring seamless integration with the current tool's functionality and design.

Complexity: 4/5
good first issue

TypeScript
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AI Summary: The task is to enhance the Algorand AlgoKit Lora tool by adding support for visualizing and interacting with application creation, update, and deletion transactions. This involves extending the existing functionality to handle the specific transaction subtypes associated with these app lifecycle events, likely including displaying relevant data within the visual transaction view and potentially adding new features to the App Lab or Transaction Wizard.

Complexity: 4/5
good first issue

TypeScript
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AI Summary: The task is to implement support for simultaneous rekey operations within AlgoKit Lora, encompassing all transaction types. This involves enhancing the existing functionality to allow users to perform multiple rekeying actions concurrently, regardless of the transaction type being used (e.g., payment, asset transfer, application call). The placeholder issue description needs to be fleshed out by June 25th, 2025, to provide specific requirements and details for implementation.

Complexity: 4/5
good first issue

TypeScript
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AI Summary: Enhance the Algorand AlgoKit Lora application to allow users to upload a custom JSON file mapping Algorand addresses to user-defined labels. This feature should prioritize custom labels over existing Non-Fungible Domain (NFD) labels and seamlessly integrate into all address display locations within the application, maintaining existing NFD functionality. The task involves creating a new settings UI element for file upload and management, updating address display logic to prioritize custom labels, and ensuring consistent display across all application components.

Complexity: 4/5
good first issue

TypeScript
#algokit#algorand#client#developer-tools#explorer#typescript#web