Fast. Easy. Done. Processing Excels without worrying about large files causing OOM.

6 Open Issues Need Help Last updated: Sep 13, 2025

Open Issues Need Help

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导入图片 about 2 months ago
help wanted

Fast. Easy. Done. Processing Excels without worrying about large files causing OOM.

Java
documentation good first issue help wanted

Fast. Easy. Done. Processing Excels without worrying about large files causing OOM.

Java

Fast. Easy. Done. Processing Excels without worrying about large files causing OOM.

Java

AI Summary: The task is to refactor the FastExcel Java library to consistently use Lombok's `@Slf4j` annotation for logging instead of the current mixed approach of `@Slf4j` and `Logger`. This involves replacing all instances of `Logger` with `@Slf4j` and potentially adjusting related code to accommodate the change. A pull request is expected.

Complexity: 3/5
enhancement good first issue

Fast. Easy. Done. Processing Excels without worrying about large files causing OOM.

Java

AI Summary: Optimize the project version management for FastExcel, a Java library for processing Excel files, potentially leveraging the existing flatten-maven-plugin. This involves investigating current version management practices, proposing improvements, and implementing those improvements via a pull request.

Complexity: 4/5
good first issue dependencies

Fast. Easy. Done. Processing Excels without worrying about large files causing OOM.

Java

AI Summary: Implement the `hashCode()` and `equals()` methods for the `ReadSheet` class in the FastExcel Java library. The implementation should use the `sheetNo` and `sheetName` fields for comparison. This is necessary to ensure correct functionality when using `ReadSheet` objects as keys in a `Map`.

Complexity: 2/5
bug good first issue

Fast. Easy. Done. Processing Excels without worrying about large files causing OOM.

Java