Download JAR files tagged by compressed with all dependencies

Implementation of CONCISE (COmpressed 'N" Composable Integer SEt) bit map compression algorithm by Alessandro Colantonio with some enhanced features - http://ricerca.mat.uniroma3.it/users/colanton/docs/concise.pdf

Provides tasks and types that deal with AR, ARJ, CPIO, TAR, DUMP, 7Z and ZIP archives as well as BZIP2, PACK200, GZIP, LZMA, Snappy, LZ4, Brotli and XZ compressed files based on Apache Commons Compress.

Implementation of CONCISE (COmpressed 'N" Composable Integer SEt) bit map compression algorithm by Alessandro Colantonio with some enhanced features - http://ricerca.mat.uniroma3.it/users/colanton/docs/concise.pdf

Implementation of CONCISE (COmpressed 'N" Composable Integer SEt) bit map compression algorithm by Alessandro Colantonio with some enhanced features - http://ricerca.mat.uniroma3.it/users/colanton/concise.html

HDT (Header, Dictionary, Triples) is a compact data structure and binary serialization format for RDF that keeps big datasets compressed to save space while maintaining search and browse operations without prior decompression. This makes it an ideal format for storing and sharing RDF datasets on the Web.

HDT (Header, Dictionary, Triples) is a compact data structure and binary serialization format for RDF that keeps big datasets compressed to save space while maintaining search and browse operations without prior decompression. This makes it an ideal format for storing and sharing RDF datasets on the Web.

The BitPay Java Key Utilities for use with the BitPay API. This package includes KeyUtils.java and a test file KeyUtilsTest.java. Invoke the static methods of KeyUtils.java to generate a PEM, retrieve private and compressed public keys from the PEM, retrieve SIN from PEM, and sign a message with the PEM.

A bundle project producing JAX-RS RI bundles. The primary artifact is an "all-in-one" OSGi-fied JAX-RS RI bundle (jaxrs-ri.jar). Attached to that are two compressed JAX-RS RI archives. The first archive (jaxrs-ri.zip) consists of binary RI bits and contains the API jar (under "api" directory), RI libraries (under "lib" directory) as well as all external RI dependencies (under "ext" directory). The secondary archive (jaxrs-ri-src.zip) contains buildable JAX-RS RI source bundle and contains the API jar (under "api" directory), RI sources (under "src" directory) as well as all external RI dependencies (under "ext" directory). The second archive also contains "build.xml" ANT script that builds the RI sources. To build the JAX-RS RI simply unzip the archive, cd to the created jaxrs-ri directory and invoke "ant" from the command line.

Parso is a lightweight Java library designed to read SAS7BDAT datasets. The Parso interfaces are analogous to libraries designed to read table-storing files, for example, CSVReader library. Despite its small size, the Parso library is the only full-featured open-source solution to process SAS7BDAT datasets, both uncompressed, CHAR-compressed and BIN-compressed. It is effective in processing clinical and statistical data often stored in SAS7BDAT format. Parso allows converting data into CSV format.

The bit array data structure is implemented in Java as the BitSet class. Unfortunately, this fails to scale without compression. JavaEWAH is a word-aligned compressed variant of the Java bitset class. It uses a 64-bit run-length encoding (RLE) compression scheme. The goal of word-aligned compression is not to achieve the best compression, but rather to improve query processing time. Hence, we try to save CPU cycles, maybe at the expense of storage. However, the EWAH scheme we implemented is always more efficient storage-wise than an uncompressed bitmap (implemented in Java as the BitSet class). Unlike some alternatives, javaewah does not rely on a patented scheme.