Download JAR files tagged by apache with all dependencies

The Apache Java Enterprise Mail Server (a.k.a. Apache James) is a 100% pure Java SMTP, IMAP, JMAP and POP3 Mail server. We have designed James to be a complete and portable enterprise mail engine solution based on currently available open protocols. James is also a mail application platform. We have developed a Java API to let you write Java code to process emails that we call the mailet API. A mailet can generate an automatic reply, update a database, prevent spam, build a message archive, or whatever you can imagine. A matcher determines whether your mailet should process an email in the server. The James project hosts the Mailet API, and James provides an implementation of this mail application platform API.

Apache Rat is a release audit tool. It improves accuracy and efficiency when checking releases. It is heuristic in nature: making guesses about possible problems. It will produce false positives and cannot find every possible issue with a release. It's reports require interpretation. In response to demands from project quality tool developers, Rat is available as a library suitable for inclusion in tools. This POM describes that library. Note that binary compatibility is not guaranteed between 0.x releases. Apache Rat is developed by the Apache Creadur project, a language and build agnostic home for software distribution comprehension and audit tools.

Provides non-free data, including the EPSG geodetic dataset, in a single read-only JAR file. This 'sis-embedded-data' module contains a copy of EPSG geodetic dataset in an embedded Apache Derby database. Having this module on the classpath avoid the need to set the 'SIS_DATA' environment variable for using the Coordinate Reference Systems (CRS) and Coordinate Operations defined by EPSG. EPSG is maintained by the IOGP Surveying & Positioning Committee and reproduced in this module with same content. See http://www.epsg.org/ for more information.

CITA-Cloud is an open-source blockchain development framework. It is released under the Apache 2.0 license and provides an architecture and development tools for customization. Its aim is to overcome the scalability and programmability challenges of blockchain technology at the underlying level. Leveraging cloud-native capabilities, it allows flexible replacement of blockchain components. Research institutions can easily integrate and transform their research results. Ultimately, the goal is to achieve flexibility, openness, and interoperability at the underlying level of blockchain for different scenarios.

Programmatically generate, load, modify, and convert Excel .xlsx spreadsheets in your Java applications. GrapeCity Documents for Excel (GcExcel) is a cross-platform high-speed, small-footprint spreadsheet API library that requires no dependencies on Excel. The powerful calculation engine supports 450+ Excel Functions and custom functions to perform complex calculations. GcExcel is 2x+ faster and uses less memory than Apache POI and allows you to save to XLSX, PDF, HTML, CSV, JSON and Images. Deploy your applications to the cloud, Windows, Mac, or Linux. If you'd like to remove the trial watermark and other trial limitations, please email [email protected] to request your 30-day evaluation key.

The Attribution Maven Plugin is a tool for producing information about a project's dependencies, in a way that can be consumed by external reporting tools. It currently leverages the Maven Project Info Reports Plugin (https://maven.apache.org/components/plugins/maven-project-info-reports-plugin/) to obtain all of a project's data, and then output the information to an XML file, such as: target/attribution.xml. This plugin came from the need to get some of the same information produced by the Maven Project Info Reports Plugin, and have it ready to be consumed by tools which may require input in a certain format, such as a CSV. By producing an attribution XML file, scripts can be created to translate the data into these other consumable formats.

A cluster computing system for processing large-scale spatial data: Python Adapter. Apache Sedona is an effort undergoing incubation at The Apache Software Foundation (ASF), sponsored by the Apache Incubator. Incubation is required of all newly accepted projects until a further review indicates that the infrastructure, communications, and decision making process have stabilized in a manner consistent with other successful ASF projects. While incubation status is not necessarily a reflection of the completeness or stability of the code, it does indicate that the project has yet to be fully endorsed by the ASF.