How this analysis was created: This summary and feature list were written by an AI model that read the project's README and public documentation pages. Each feature links to the documentation it came from; stars, license and language come straight from the GitHub API. The model does not read the source code, and the analysis is refreshed when the project is re-analysed. Learn more on our About page.
Apache Spark is a unified distributed data processing engine designed for large-scale data analysis and computation graphs. It functions as a distributed machine learning framework, a graph processing system, a real-time stream processor, and a SQL analytics engine. The system enables the execution of distributed SQL querying, large-scale graph analysis, and real-time stream analytics across clusters of machines. It also provides a scalable environment for implementing machine learning algorithms and predictive model development on massive datasets. The engine incorporates relational query e
In-memory tabular data in Julia
The main features of juliastats/dataframes.jl are: Data Analysis Visualization, Julia Geospatial Libraries.
Open-source alternatives to juliastats/dataframes.jl include: apache/spark — Apache Spark is a unified distributed data processing engine designed for large-scale data analysis and computation… avelino/mining. balinus/climatetools.jl — Climate science package for Julia. cloudera/impala — Real-time Query for Hadoop; mirror of Apache Impala. continuumio/bokeh. apache/hadoop-mapreduce.
