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Dask grew out of the Blaze [47] project, a DARPA [48] funded project to accelerate computation in open source. Blaze was an ambitious project that tried to redefine computation, storage, compression, and data science APIs for Python, led originally by Travis Oliphant and Peter Wang, the co-founders of Anaconda. However, Blaze’s approach of ...
Spark Core is the foundation of the overall project. It provides distributed task dispatching, scheduling, and basic I/O functionalities, exposed through an application programming interface (for Java, Python, Scala, .NET [16] and R) centered on the RDD abstraction (the Java API is available for other JVM languages, but is also usable for some other non-JVM languages that can connect to the ...
RethinkDB is a free and open-source, distributed document-oriented database originally created by the company of the same name. The database stores JSON documents with dynamic schemas, and is designed to facilitate pushing real-time updates for query results to applications.
Match summaries and player statistics, updated in real-time during the World Cup 03/14 March Madness Predict-o-Tron Probabilistic bracket generator for the 2014 Men's NCAA basketball tournament
Mnesia is a distributed, soft real-time database management system written in the Erlang programming language. It is distributed as part of the Open Telecom Platform. MonetDB: MonetDB Solutions, CWI: 2004 SQL, ODBC, JDBC, C, C++, Java, Python, PHP, Node.js, Perl, Ruby, R, MAL open-source MonetDB License, based on MPL 2.0 as of version Jul2015.
List of GitHub repositories of the project: IBM This data is not pre-processed List of GitHub repositories of the project: IBM Cloud This data is not pre-processed List of GitHub repositories of the project: Build Lab Team This data is not pre-processed List of GitHub repositories of the project: Terraform IBM Modules This data is not pre-processed
Paimon: unified lake storage to build dynamic tables for both stream and batch processing with big data compute engines, supporting high-speed data ingestion and real-time data query; Pegasus: distributed key-value storage system which is designed to be simple, horizontally scalable, strongly consistent and high-performance
Pandas – High-performance computing (HPC) data structures and data analysis tools for Python in Python and Cython (statsmodels, scikit-learn) Perl Data Language – Scientific computing with Perl; Ploticus – software for generating a variety of graphs from raw data; PSPP – A free software alternative to IBM SPSS Statistics