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General Responsibility Assignment Software Patterns (or Principles), abbreviated GRASP, consists of guidelines for assigning responsibility to classes and objects in object-oriented design.

"Unlike most client libraries dealing with HAL REST APIs, Hybind provides a high-level approach similar to what Object Relational Mapping (ORM) frameworks are for databases. When using Spring Data REST in the server, it is amazing how the amount of code to write is reduced to a minimum. However, a significant amount of repeated boilerplate is still required in the JavaScript client to manipulate the resources and map them to the client-side model. That's why this library exists. It enriches plain JavaScript objects with a convenient API so that performing REST requests is as easy as calling methods directly on the model objects. It is optimized for Spring Data REST, but should work with other HAL APIs following similar conventions."

"HDF (Hierarchical Data Format) technologies are relevant when the data challenges being faced push the limits of what can be addressed by traditional database systems, XML documents, or in-house data formats. Leveraging the powerful HDF products and the expertise of The HDF Group, organizations realize substantial cost savings while solving challenges that seemed intractable using other data management technologies. Many HDF adopters have very large datasets, very fast access requirements, or very complex datasets. Others turn to HDF because it allows them to easily share data across a wide variety of computational platforms using applications written in different programming languages. Some use HDF to take advantage of the many open-source and commercial tools that understand HDF. Similar to XML documents, HDF files are self-describing and allow users to specify complex data relationships and dependencies. In contrast to XML documents, HDF files can contain binary data (in many representations) and allow direct access to parts of the file without first parsing the entire contents. HDF, not surprisingly, allows hierarchical data objects to be expressed in a very natural manner, in contrast to the tables of relational database. Whereas relational databases support tables, HDF supports n-dimensional datasets and each element in the dataset may itself be a complex object. Relational databases offer excellent support for queries based on field matching, but are not well-suited for sequentially processing all records in the database or for subsetting the data based on coordinate-style lookup."

"In this talk you will learn about a modern way of designing applications that's very different from the traditional approach of building monolithic applications that persist mutable domain objects in a relational database.We will talk about the microservice architecture, it's benefits and drawbacks and how Spring Boot can help. You will learn about implementing business logic using functional, immutable domain models written in Scala. We will describe event sourcing and how it's an extremely useful persistence mechanism for persisting functional domain objects in a microservices architecture."

"Monocle is a Lens library, or more generally an Optics library. Optics are a set of purely functional abstractions to manipulate (get, set, modify) immutable objects. Optics compose between each other and particularly shine with nested objects."

"The idea behind Kundera is to make working with NoSQL Databases drop-dead simple and fun. Kundera is being developed with following objectives: To make working with NoSQL as simple as working with SQL To serve as JPA Compliant mapping solution for NoSQL Datastores. To help developers, forget the complexity of NoSQL stores and focus on Domain Model. To make switching across data-stores as easy as changing a configuration. "

"Model your domain in the language and style of Domain Driven Design. Implement it using Scala case classes and companion objects. Pass us your subdomain, and we provide the persistence. Persistence concerns, operations and data are abstracted behind an elegant persistence API. We provide you with fully featured repositories for MongoDB and Cassandra. We provide a suite of integration tests to exercise your repositories against a real database, as well as in-memory repositories for other tests."

Jamm provides MemoryMeter, a java agent to measure actual object memory use including JVM overhead.

Data.js is a data representation framework for Javascript. It is being developed in the context of Substance, a web-based document authoring and publishing engine. It took some inspiration from various existing libraries such as the Google Visualization API or Underscore.js.  You can report bugs and discuss features on the GitHub issues page, on Freenode IRC in the #_substance chann el, post questions to the Google Group, or send tweets to @_substance. With Data.js you can: Model your domain data using a simple graph-based object model that can be serialized to JSON. Traverse your graph, including relationships using a simple API. Manipulate and query data on the client (browser) or on the server (Node.js) by using exactly the same API. 

"These are the major new features added since Slick 1.0.1: A code generator that reverse-engineers the database schema and generates all code required for working with Slick. New driver architecture to allow support for non-SQL, non-JDBC databases. Table definitions in the Lifted Embedding use a new syntax which is slightly more verbose but also more robust and logical, avoiding several pitfalls from earlier versions. Table definitions (and their * projections) are not restricted to flat tuples of columns anymore. They can use any type that would be valid as the return type of a Query. The old projection concatenation methods ~ and ~: are still supported but not imported by default. In addition to Scala tuples, Slick supports its own HList abstraction for records of arbitrary size. You can also add support for your own record types with only a few lines of code. All record types can be used everywhere (including table definitions and mapped projections) and they can be mixed and nested arbitrarily. Soft inserts are now the default, i.e. AutoInc columns are automatically skipped when inserting with +=, ++=, insert and insertAll. This means that you no longer need separate projections (without the primary key) for inserts. There are separate methods forceInsert and forceInsertAll in JdbcProfile for the old behavior. A new model for pre-compiled queries replaces the old QueryTemplate abstraction. Any query (both, actual collection-valued Query objects and scalar queries) or function from Column types to such a query can now be lifted into a Compiled wrapper. Lifted functions can be applied (without having to recompile the query), and you can use both monadic composition of Compiled values or just get the underlying query and use that for further composition. Pre-compiled queries can now be used for update and delete operations in addition to querying. threadLocalSession has been renamed to dynamicSession and the corresponding methods have distinct names (e.g. w

"Protostuff is the stuff that leverages google's protobuf. A serialization library with built-in support for forward-backward compatibility (schema evolution) and validation. available formats: protostuff (native) graph (protostuff with support for cyclic references. See SerializingObjectGraphs) protobuf json smile (binary json useable from the protostuff-json module) xml yaml (ser only) kvp (binary uwsgi header) support for messages that are generated by the protostuff-compiler (java_bean) cyclic references via graph format see CompilerOptions for more customized compilation of .proto files support for existing pojos (See runtime schemas) cyclic references via graph format polymorphic (a nested message can be an interface/abstract class or even java.lang.Object) support for existing protoc-generated java messages see the io instructions for json, xml, yaml) no support for cyclic references (limitation of the builder pattern) Interoperability across various mobile platforms android kindle j2me (protostuff-me module) Transcoding support converts one encoding to another. See PipeUsage. Source and Sink protostuff, protobuf, json, json-numeric, smile, smile-numeric, xml Sink only yaml "

"The OASIS Open Composite Services Architecture (CSA) Member Section advances open standards that simplify SOA application development. Open CSA brings together vendors and users from around the world to collaborate on the further development and adoption of the Service Component Architecture (SCA) and Service Data Objects (SDO) families of specifications."

"JSON Processing project is the open source reference implementation of JSR 353 - Java API for JSON Processing. The JSR provides portable APIs to parse, generate, transform, and query JSON using the streaming API or the object model API."

"The monad concept will be presented to an audience with the assumption of knowledge of the generics concept of either the Java or C# programming languages or some other form of parametric polymorphism. The concept will be presented in a way with the objective of supplying enough understanding to apply the practical implications and will not address the underlying mathematics or category theory."

"Rust is a curly-brace, block-structured expression language. It visually resembles the C language family, but differs significantly in syntactic and semantic details. Its design is oriented toward concerns of "programming in the large", that is, of creating and maintaining boundaries - both abstract and operational - that preserve large-system integrity, availability and concurrency. It supports a mixture of imperative procedural, concurrent actor, object-oriented and pure functional styles. Rust also supports generic programming and metaprogramming, in both static and dynamic styles."

"FreeIPA is an integrated security information management solution combining Linux (Fedora), 389 Directory Server, MIT Kerberos, NTP, DNS, Dogtag (Certificate System). It consists of a web interface and command-line administration tools. FreeIPA is an integrated Identity and Authentication solution for Linux/UNIX networked environments. A FreeIPA server provides centralized authentication, authorization and account information by storing data about user, groups, hosts and other objects necessary to manage the security aspects of a network of computers. FreeIPA is built on top of well known Open Source components and standard protocols with a very strong focus on ease of management and automation of installation and configuration tasks. Multiple FreeIPA servers can easily be configured in a FreeIPA Domain in order to provide redundancy and scalability. The 389 Directory Server is the main data store and provides a full multi-master LDAPv3 directory infrastructure. Single-Sign-on authentication is provided via the MIT Kerberos KDC. Authentication capabilities are augmented by an integrated Certificate Authority based on the Dogtag project. Optionally Domain Names can be managed using the integrated ISC Bind server. Security aspects related to access control, delegation of administration tasks and other network administration tasks can be fully centralized and managed via the Web UI or the ipa Command Line tool."