3 Repos
Libraries designed to handle data transformation and document parsing within Java applications.
Distinct from JSON and Data Parsing: Candidates are from 'awesome-lists' and are too generic; a specific functional category for Java processing is needed.
Explore 3 awesome GitHub repositories matching data & databases · Java Data Processing Libraries. Refine with filters or upvote what's useful.
Hutool is a comprehensive suite of Java extensions designed to serve as a standard library extension. Its primary purpose is to reduce development boilerplate for common programming tasks and data manipulation through a collection of utility classes. The project provides specialized toolkits for database management using active record patterns and connection pooling, as well as network communication via a simplified HTTP client and asynchronous socket management. It includes security and identity capabilities such as symmetric and asymmetric encryption, image captcha generation, and JWT token
Provides a suite for JSON parsing, file stream management, and office document manipulation.
RoaringBitmap is a compressed integer set library designed for memory-efficient storage and high-speed in-memory analytics. It provides a professional implementation of the Roaring Bitmap format to maintain compact representations of integer collections. The project features a standardized binary serialization format that enables the exchange of compressed bitmap data across different programming languages and hardware architectures. This allows for consistent data portability and cross-language data exchange. The library performs rapid logical set operations, including intersections, unions
Offers memory-efficient collections for managing large-scale integer sets in Java.
Tablesaw is a Java dataframe library designed for manipulating, filtering, and aggregating structured data. It serves as a toolkit for statistical analysis, data visualization, and machine learning execution within the Java Virtual Machine. The project provides specialized tools for computing descriptive statistics and generating cross-tabulations. It includes a visualization library for creating histograms and scatter plots, as well as a framework for executing linear regression, clustering, and classification tasks through integration with statistical libraries. The library covers a broad
Provides a Java-based dataframe library for processing, cleaning, filtering, and transforming large structured datasets.