986 projects tagged "Apache 2.0"
EC2Dream Fogviz is a visual tool for building and managing cloud servers. It combines Fog, Ruby, and Chef into a tool that is particularly helpful when developing and testing Chef automation scripts. It currently supports Amazon AWS, Eucalyptus Cloud, and CloudStack including VPC, autoscaling, and the ability to list most entities., and Openstack clouds: Rackspace, HP Cloud, and CloudFoundry Open Platform.
uma::bson is a DOM-style C++ API for reading/writing BSON data. Unlike the MongoDB C++ API, which exposes a read-only interface with a separate interface for creating a BSON representation, this API allows reading/writing on the existing data. The API is designed primarily for serialising/deserialising BSON data to/from streams (files, socket connections, etc.).
DataNucleus AccessPlatform is a standards-compliant Java persistence product. It is fully compliant with the JDO1, JDO2, JDO2.1, JDO2.2, JDO3, JPA1, and JPA2 Java standards, and provides a REST API. It complies with the OGC Simple Feature Spec for persistence of geospatial Java types. It allows access to all popular RDBMS available today, together with the MongoDB, LDAP, NeoDatis, JSON, Excel/ODF spreadsheets, XML, BigTable, HBase, and Neo4j databases.
Oddjob is a Java job scheduler and task automation framework. A GUI designer or XML are used to define a hierarchy of jobs. Sequential, parallel, and conditional execution (or combinations) allow for nearly any business process to be modelled. Oddjob can run on the desktop or on a server and uses JMX to control remote instances via an Explorer-style GUI. Basic Web-based monitoring is also available. It can be embedded in client code and is easily extensible via a simple API.
Ujorm is an easy-to-use ORM framework based on key-value objects. The framework was designed for rapid Java development with great performance and a small footprint. The key features are type safe queries, relation mapping by Java code, no entity states, and a memory overloading protection cache.
Template Data Interface (TDI, /ʹtedɪ/) is a markup templating system written in Python with (optional but recommended) speedup code written in C. Unlike most templating systems, TDI does not invent its own language to provide functionality. Instead, you simply mark the nodes you want to manipulate within the template document. The template is parsed, and the marked nodes are presented to your Python code, where they can be modified in any way you want.