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* 11/2017: Alida 2.7.5 has been released. The mechanism to store parameters of operators is now more flexible and correctly handles the visibility of static and dynamic parameters. | * 11/2017: Alida 2.7.5 has been released. The mechanism to store parameters of operators is now more flexible and correctly handles the visibility of static and dynamic parameters. | ||
* 07/2017: Alida 2.7.4 has been released.<br>From now on Alida releases are PGP signed. Alida's [https://pgp.mit.edu/pks/lookup?op=get&search=0x72C17EF19A4D2F66 public key] for verification can be found on public key servers, e.g., at https://pgp.mit.edu/. | * 07/2017: Alida 2.7.4 has been released.<br>From now on Alida releases are PGP signed. Alida's [https://pgp.mit.edu/pks/lookup?op=get&search=0x72C17EF19A4D2F66 public key] for verification can be found on public key servers, e.g., at https://pgp.mit.edu/. | ||
The news archive can be found [[NewsArchive | here]]. | The news archive can be found [[NewsArchive | here]]. | ||
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Revision as of 16:50, 31 January 2018
Alida - Advanced Library for Integrated Development of Data Analysis Applications
...formerly known as Alida - Automatic Logging of Process Information in Data Analysis
What is Alida? The Alida concept is independent of a specific programming language, however, relies on an object-oriented design. Moreover, in particular Java renders it quite easy to implement the conceptual features of Alida due to its reflection and annotation mechanisms. Consequently currently there is only active maintenance and support for the Java implementation of the concept. A prototypical C++ implementation is also available (C++ version), however, still lacks a lot of features and is in general at a rather early stage. The Java implementation of the Alida concept is in a quite mature state. It provides a framework for implementing and running operators. It also includes automatic process documentation and automatically generated command line and graphical user interfaces. Calls to operators not only produce data analysis results, but are at the same time registered within the framework together with all input and output objects as well as parameters settings of the various operators. These data acquired during an analysis process and the order of operator calls form a directed graph datastructure containing all relevant information for later reconstruction or verification of the analysis procedure. The Java implementation of Alida allows to make the directed graph datastructure explicit in terms of XML representations which can be visually explored with appropriate graphical frontends like Chipory, or might be stored in data bases for archival purposes.
Grappa - the Graphical Programming Editor for Alida Since release 2.0 Alida extends its operator concept towards combining operators into more complex workflows. A workflow is defined as a combination of operators being excuted sequentially, in parallel or in a nested fashion.
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