Download JAR files tagged by data with all dependencies

Shakebug allows you to receive feedback from your beta testers or real users and improve the quality of your application in a simple way. Here users just need to shake their mobile and all the data regarding bugs & crashes can be seen by developers through their log in panel. It also helpful to analyse your users, session, location etc. Addition, you can add events on each action of your application and track it using this Shakebug framework. Sign up for a service at https://www.shakebug.com

This Lutra submodule provides a common framework that other submodules in Lutra use and extend. It includes an implementation of OTTR's data model with classes for templates, instances, types, etc.; a system for handling results and error messages; core interfaces and abstract classes for streamed pipelines for parsing and writing templates and instances; as well as implementation of the TemplateStore, a container for templates, with algorithms for checking correctness of templates and expanding and checking correctness of instances. Lutra is the reference implementation of the OTTR framework. For more information about OTTR, see http://ottr.xyz.

Maltcms, short for "Modular Application Toolkit for Chromatography Mass-Spectrometry" is an application framework mainly suited for developers working in the domain of bioinformatics for metabolomics and proteomics. Its aim is to provide reusable, efficient datastructures, abstracting from the various low-level data-formats like netcdf (ANDIMS), mzXML, mzData and mzML and providing consistent access to data features like mass spectra, chromatograms and metadata. Furthermore, Maltcms provides a platform for the implementation and execution of processing pipelines. New and existing algorithms can be easily implemented or included and executed together with existing processing elements.

The Spark Universal Migrator is a data migration Spark application that fetches data from an Oracle database and stores it in a Hive database. It utilizes JDBC to connect to Oracle, processes and converts the data into a Hive-compatible schema, and then transfers it to Hive. The migration process employs iterators to generate queries for data retrieval and utilizes a BlockingQueue in conjunction with a ThreadPoolExecutor for parallel processing of data. Additionally, the application incorporates an Oracle connection pool to efficiently manage and reuse database connections, further optimizing performance and resource utilization during the migration process.

This package contains several example programs of the usage of the JavaPermutationTools (JPT) library. JPT is a Java library that enables representing and generating permutations and sequences, as well as performing computation on permutations and sequences. It includes implementations of a variety of permutation distance metrics as well as distance metrics on sequences (i.e., Strings, arrays, and other ordered data types). In addition to programs demonstrating the usage of the JPT library, the jpt-examples package also contains programs for replicating the experiments from a few published papers that utilized the library or implementations on which the library is based. JPT's source code is maintained on GitHub, and the prebuilt jars of the library can be imported from Maven Central using maven or other build tools. The purpose of the package jpt-examples is to demonstrate usage of the major functionality of the JPT library. You can find out more about the JPT library itself from its website: https://jpt.cicirello.org/.