The official Ophidia release v1.3.0 is now available on github (http://github.com/OphidiaBigData)! This release fixes various bugs and provides several new features, such as: -support for comments and expression evaluation in workflow requests; -initial support for reserved host partition management; -improved version of importnc operator reading data directly at the IO server-level; -first versions of multi-thread […] Read More
A training on Ophidia has been performed in the context of the EOSC-hub Week held in Malaga (Spain) from Monday, April 16 to Friday, April 20, 2018. The training relates to the execution of python notebooks that exploit the PyOphidia package for scientific analyses on climate data (e.g. time series extraction and difference, Tropical Nights […] Read More
An updated version of the Virtual Machine Image (in OVA format) with the latest release (v1.2.0) of all the Ophidia components (including PyOphidia) is now available. The VMI can be downloaded from this link. The QuickStart guide provides the instructions to get started with the Ophidia framework from the VMI.
PyOphidia, the Ophidia python bindings, v1.5.0 is now available! You can install the package from PyPI (https://pypi.python.org/pypi/PyOphidia/) or get the source code from github (http://github.com/OphidiaBigData/PyOphidia/). This new version provides full compatibility with the latest Ophidia release v1.2.0.
The official Ophidia release v1.2.0 is now available on github (http://github.com/OphidiaBigData)! This release fixes several bugs and provides some new features, such as: – three new primitives; – new aliases; – support for an additional authZ/authN method; – improved balancing at the resource manager level; – print of execution time for every command. RPM packages […] Read More
The Kick-off Meeting of the EOSC-hub project will be held in Amsterdam on January 8-12, 2018. As core component of the ENES Climate Analytics Service (ECAS), Ophidia will be exploited in the project to perform climate data analytics on large datasets. ECAS is one of the Thematic Services of the EOSC-hub project.
A talk titled “Largescale, high performance and cloud enabled multimodel analytics experiments in the context of the Earth System Grid Federation” will be presented at the AGU 2017 Conference held in New Orleans (December 11-15, 2017). The presentation will focus on the implementation of the multi-model climate change analytics experiment case study carried out in […] Read More
A demo and a poster on the OphidiaLab will be presented at the ESGF 2017 Conference in San Francisco (4-8/12/2017). The demo will showcase the workflow capabilities of Ophidia as well as its programmability based on the PyOphidia module. Some Juoyter notebook examples will also demonstrate how Python-based code can leverage on PyOphidia to perform […] Read More
The final review of the INDIGO-DataCloud project will take place in Brussels on 16-17/11/2017. During the review, as contribution to the project case studies, the results of the multi-model climate change analytics experiment leveraging on Ophidia, Kepler, FG and Indigo-PaaS will be reported.
The last version of PyOphidia (v1.4.0), the Ophidia Python bindings, is now also available through conda-forge repository at: https://anaconda.org/conda-forge/pyophidia To install the package with Conda simply run: conda install -c conda-forge pyophidia PyOphidia provides a Python class supporting all the Ophidia operators.