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Java Excel Libraries

Ranking updated Jul 13, 2026

For a Java library for reading Excel files, the strongest matches are apache/fesod (Apache Fesod is a Java library designed for memory-efficient), alibaba/easyexcel (EasyExcel is a memory-efficient Java library that provides robust) and dhatim/fastexcel (This library provides a high-performance Java API for reading). monitorjbl/excel-streaming-reader is also worth a look. Each is ranked by relevance to your query, popularity and recent activity.

We curate open-source GitHub repositories matching “best java excel libraries”. Results are ranked by relevance to your query — pick filters below to narrow, or refine with AI.

Java Excel Libraries

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  • apache/fesodapache avatar

    apache/fesod

    6,062View on GitHub↗

    Apache Fesod is a lightweight Java library that wraps Apache POI to provide a streaming API for reading and writing large Excel files. Its core identity is a low-memory spreadsheet processor that prevents out-of-memory errors by handling data row by row, never loading an entire document into memory at once. The library distinguishes itself through a listener-driven event model that fires row-level events to user code as each row is parsed, enabling incremental processing. It also includes an object mapping layer that maps spreadsheet rows directly to Java objects using configurable column map

    Apache Fesod is a Java library designed for memory-efficient reading and writing of Excel files, providing the streaming API and object mapping capabilities required for large-scale spreadsheet processing.

    JavaLarge Scale ProcessingExcel File Parsers
    View on GitHub↗6,062
  • alibaba/easyexcelalibaba avatar

    alibaba/easyexcel

    33,703View on GitHub↗

    EasyExcel is a Java processing library designed for reading and writing XLS, XLSX, and CSV files. It functions as a memory-efficient spreadsheet parser, an object-relational mapper that binds spreadsheet columns to Java class fields, and a stream-based exporter for handling high-volume data. The library distinguishes itself through a streaming model that processes large files row-by-row via listeners to prevent heap memory overflow. It also operates as a template engine, allowing the population of predefined spreadsheet files with dynamic data while preserving original layouts and styles. Br

    EasyExcel is a memory-efficient Java library that provides robust support for reading and writing XLSX files, including template-based generation and streaming APIs for handling large datasets.

    JavaLarge Scale ProcessingCell Styling SystemsSAX Parsers
    View on GitHub↗33,703
  • dhatim/fastexceldhatim avatar

    dhatim/fastexcel

    898View on GitHub↗

    Generate and read big Excel files quickly

    This library provides a high-performance Java API for reading and writing large XLSX files, making it a suitable tool for spreadsheet manipulation even though it focuses primarily on speed and memory efficiency rather than advanced styling or formula evaluation.

    JavaDocument Processing
    View on GitHub↗898
  • monitorjbl/excel-streaming-readermonitorjbl avatar

    monitorjbl/excel-streaming-reader

    974View on GitHub↗

    Excel Streaming Reader is a Java library designed for processing massive spreadsheet files by reading data incrementally. It functions as a memory-efficient parser that prevents system memory exhaustion by avoiding the need to load entire documents into memory at once. The library utilizes an event-driven approach to translate low-level XML parsing events into high-level row and cell objects. By implementing streaming row iteration, it exposes data through a sequential cursor interface that maintains only a small, configurable subset of rows in memory during the extraction process. To suppor

    This library provides a streaming API for reading large XLSX files by building on top of Apache POI, making it a specialized tool for the requested category even though it focuses primarily on reading rather than writing or styling.

    JavaLarge Scale Processing
    View on GitHub↗974

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