Projects tagged ‘data’ and ‘framework’

pChart is a PHP class oriented framework designed to create aliased charts. Data can be retrieved from SQL queries, CSV files, or manually provided.

RapidMiner (formerly YALE) is the most comprehensive open-source software for intelligent data analysis, data mining, knowledge discovery, machine learning, predictive analytics, forecasting, and ... [More] analytics in business intelligence (BI). RapidMiner provides more than 400 data mining operators, a graphical user interface (GUI), an online tutorial with hands-on data mining applications, a comprehensive PDF tutorial, many visualization schemes for data sets and data mining results, many different learning and meta-learning schemes ranging from decision tree and rule learners to neural networks, SVMs, ensemble methods, etc. RapidMiner is implemented in Java and available under GPL (GNU General Public License) as well as under a developer license (OEM license) for closed-source developers [Less]

The JGoodies Data Binding framework provides an elegant means to present object properties in a user interface. It reduces the code necessary for object presentation, stream-lines the development ... [More] process for data binding, provides advanced features for automatic update notification and assists you in separating the domain and presentation layers. [Less]

Simple to use library that handles a lot of things for you.

Ximura is a extensible information management system designed using C# 3.0. Ximura is intended to shorten the development time for building large complex system, by providing a development ... [More] framework built around a reusable component architecture. Ximura is CLS compliant and works under the MONO framework for use on Linux based machines, as well as a standard Window's based environment. [Less]

Casper DatasetsA generic, in-memory dataset caching library ContentsAbstract Features Performance Design Overview Usage / Code Samples Feedback / Contributing AbstractThe Casper Datasets library is ... [More] a implementation of a generic in-memory dataset. The library allows a programmer to define a two-dimensional (or more broadly, an n-dimensional) dataset in a highly configurable manner, with variable columns and data types. Within a typical application stack, a data access / business object tier would require developers to create several context-specific pieces of code: Objects that represent logical rows of data (typically as a java bean in java) Data access classes to map relational rows to their objectified counterparts, and retrieve objects by attributes inherent to the object Specialized sorters / comparators to allow manipulation and sorting of these rows Cache abstractions to hold this information in memory While some ORM frameworks address some of these requirements, we haven't found any useful dataset abstractions that would function outside of the non-relational context, as well as provide generic sorting / searching that most projects would eventually require. In addition, this exercise would have to be repeated for each object abstraction within the application. The Casper Datasets library aims to unify these requirements into a single library that is both simple and intuitive. Because casper datasets is an open-source project, its features can be extended and enriched by its user community. FeaturesCasper Datasets exposes a generic caching and searching framework that allows a user to define any mapping via a meta data object (essentially, a mapping of column names to types, akin to java.sql.ResultSetMetaData) and manipulate / search / sort data rows. The following major features are supported: In-memory caching of data rows Searching and filtering through the dataset based on attributes on any given column. This is accomplished through the use of filter chains, which support the following types of matches: (1) Equality, (2) Regular expressions, (3) Numeric Ranges, (4) Date Ranges. Scroll through query results, akin to java.sql.ResultSet Indexing columns for ultra-fast lookup Basic aggregation: sums, weighted sums, average, weighted averages Relational database adapters to load relational rows effortlessly PerformanceIn a test of approximately 370,000 rows of data, a non-indexed search (i.e. full table scan) and sort yielding approximately 16,000 rows took about 360 ms on a high-end desktop machine. An equality-based search on an indexed field yielded performance several orders better. Please see the "Performance" section on the WIKI for more details. Design OverviewPlease see the WIKI section for the latest design documents on Casper Datasets. Usage/Code SamplesPlease see the WIKI section for usage and code samples for the Casper Datasets library. FeedbackWe would love to hear from you. Let us know if you would like to contribute to the project. In addition, also let us know if you have utilized the library in any of your own projects. [Less]

Zend Framework library extension LibrariesKontorX_DataGrid - KontorXDataGrid KontorX_Application_Resource_Acl - Application_Resource_Acl KontorX_Db_Table_Tree_Abstract KontorX_Db_Table_Tree_Abstract KontorX_Search_Semantic and more..

benerator is a framework for creating realistic and valid high-volume test data, used for testing (unit/integration/load) and showcase setup. Metadata constraints are imported from systems and/or ... [More] configuration files. Data can be imported from and exported to files and systems, anonymized or generated from scratch. Domain packages provide reusable generators for creating domain-specific data as names and addresses internationalizable in language and region. It is strongly customizable with plugins and configuration options. [Less]

It´s a class mapper that uses C# attributes features to map each property to it´s own column in database table. If the table isn´t created yet, the Mapper class creates the tables respecting ... [More] it´s primary key / foreign key settings as well 1 -> 1, 1 -> N, N -> N relationships. It´s a bit stable now, so i´ve decided to release it to the community. Suggestions are appreciated! Simple Usage (no relations): // Address Class using System; using System.Collections.Generic; using System.Linq; using System.Web; namespace AttributesFrameworkExample.Classes { [AttributesFramework.Attributes.DBTable(Name = "Address")] public class Address : SuperClass { [AttributesFramework.Attributes.DBColumn(Name = "AddressId", DataType = System.Data.SqlDbType.Int, isAutoIncrement = true, isPrimaryKey = true, isReadOnly = true)] public int AddressId { get; set; } [AttributesFramework.Attributes.DBColumn(Name = "Street", DataType = System.Data.SqlDbType.VarChar, Size = 256, AllowNull = false)] public string Street { get; set; } [AttributesFramework.Attributes.DBColumn(Name = "Number", DataType = System.Data.SqlDbType.VarChar, Size = 128, AllowNull = false)] public string Number { get; set; } } } // Person Class using System; using System.Collections.Generic; using System.Linq; using System.Web; namespace AttributesFrameworkExample.Classes { [AttributesFramework.Attributes.DBTable(Name = "Person")] public class Person : SuperClass { [AttributesFramework.Attributes.DBColumn(Name = "PersonId", DataType = System.Data.SqlDbType.Int, isAutoIncrement = true, isPrimaryKey = true, isReadOnly = true)] public int PersonId { get; set; } [AttributesFramework.Attributes.DBColumn(Name = "Name", DataType = System.Data.SqlDbType.VarChar, Size = 256, AllowNull = false)] public string Name { get; set; } [AttributesFramework.Attributes.DBColumn(Name = "BirthDate", DataType = System.Data.SqlDbType.DateTime, AllowNull = false)] public DateTime BirthDate { get; set; } [AttributesFramework.Attributes.DBColumn(Name = "Active", DataType = System.Data.SqlDbType.Bit, AllowNull = false)] public bool Active { get; set; } [AttributesFramework.Attributes.DBRelation(Name = "Address", ClassType = typeof(Address), RelationType = AttributesFramework.Attributes.DBRelationType.ONE_ONE)] public Address Address { get; set; } private List _Childs; [AttributesFramework.Attributes.DBRelation(Name = "Childs", ClassType = typeof(Person), RelationType = AttributesFramework.Attributes.DBRelationType.ONE_N)] public List Childs { get { if (this._Childs == null) { Childs = new List(); } return this._Childs; } set { this._Childs = value; } } } } // Super Class (The Most Important) using System; using System.Collections; using System.Collections.Generic; using System.Linq; using System.Web; namespace AttributesFrameworkExample.Classes { public abstract class SuperClass : MarshalByRefObject { public void Insert() { AttributesFramework.Mapper.Data.Insert(this); } public void Update() { AttributesFramework.Mapper.Data.Update(this); } public void Delete() { AttributesFramework.Mapper.Data.Delete(this); } public SuperClass RetrieveById(object p_idSuper) { Dictionary _primaryKeys = new Dictionary(); _primaryKeys.Add(AttributesFramework.Mapper.Attributes.GetDBColumnsPrimaryKeys(this.GetType())[0], p_idSuper); return (SuperClass)AttributesFramework.Mapper.Data.RetrieveByPrimaryKeys(_primaryKeys, this.GetType()); } public ArrayList RetrieveAll() { return AttributesFramework.Mapper.Data.RetrieveAll(this.GetType()); } public ArrayList RetrieveByQuery(string p_Query) { return AttributesFramework.Mapper.Data.RetrieveByQuery(p_Query, this.GetType()); } } } // If my Classes aren´t mapped yet, i´ll do it then. AttributesFramework.Mapper.Data.Map(typeof(Classes.Address)); AttributesFramework.Mapper.Data.Map(typeof(Classes.Person)); [Less]

A simple framework for building sql statements in an object oriented way, executing sql statements with database independency and providing simple object persistence.