991 Open source projects that are alternatives of or similar to iis

Korpuslinguistik war noch nie so einfach...

Mirror of Apache Calcite - Avatica

Apache ORC - the smallest, fastest columnar storage for Hadoop workloads

Big Data Toolkit for the JVM

A complete (distributed) BigData stack, running in containers

Apache Hive

Asakusa Framework

Apache Drill is a distributed MPP query layer for self describing data

A Locality Sensitive Hashing (LSH) library with an emphasis on large, highly-dimensional datasets.

Graph Sampling is a python package containing various approaches which samples the original graph according to different sample sizes.

extract text from any document. no muss. no fuss.

OLAP and ETL of Big Data

简单的可视化湖州通话数据 假设数据量很大，没法用浏览器直接绘制热力图，把绘制热力图这一步骤放到线下计算分析。使用Apache Spark并行计算数据之后，再使用Apache Spark绘制热力图，然后用leafletjs加载OpenStreetMap图层和热力图图层，以达到良好的交互效果。现在使用Apache Spark实现绘制，可能是Apache Spark不擅长这方面的计算或者是我没有设计好算法，并行计算的速度比不上单机计算。Apache Spark绘制热力图和计算代码在这 https://github.com/yuanzhaokang/ParallelizeHeatmap.git .

Scalable, redundant, and distributed object store for Apache Hadoop

Official repository of Trino, the distributed SQL query engine for big data, formerly known as PrestoSQL (https://trino.io)

MooseFS – Open Source, Petabyte, Fault-Tolerant, Highly Performing, Scalable Network Distributed File System (Software-Defined Storage)

A Spark cluster setup running on Docker containers

A large-scale entity and relation database supporting aggregation of properties

Kafka Connect HDFS connector

Knowage is the professional open source suite for modern business analytics over traditional sources and big data systems.

CogComp's Natural Language Processing libraries and Demos:

Term frequency–inverse document frequency for Chinese novel/documents implemented in python.

Explore high-dimensional datasets and how your algo handles specific regions.

CogComp's light-weight Python NLP annotators

An implementation of "Network Representation Learning with Rich Text Information" (IJCAI '15).

A Python package implementing a new machine learning model for text classification with visualization tools for Explainable AI

A collection of tutorials on Hadoop, MapReduce, Spark, Docker

Samples to the Oracle Big Data Lite VM

The Archives Unleashed Toolkit is an open-source toolkit for analyzing web archives.

clusterdock is a framework for creating Docker-based container clusters

Apache Tez

A tool for provisioning and managing Apache Hadoop clusters in the cloud. Cloudbreak, as part of the Hortonworks Data Platform, makes it easy to provision, configure and elastically grow HDP clusters on cloud infrastructure. Cloudbreak can be used to provision Hadoop across cloud infrastructure providers including AWS, Azure, GCP and OpenStack.

Apache Ignite

Data cleaning, pre-processing, and Analytics on a million movies using Spark and Scala.

ArcGIS GeoEvent Server sample Hadoop connector for storing GeoEvents in HDFS.

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

大数据入门指南 ⭐

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

Griffon Data Science Virtual Machine

HDFS Shell is a HDFS manipulation tool to work with functions integrated in Hadoop DFS

A high-performance, scalable and efficient ShuffleManager plugin for Apache Spark, utilizing UCX communication layer

Materials for GWU DNSC 6279 and DNSC 6290.

RDMA accelerated, high-performance, scalable and efficient ShuffleManager plugin for Apache Spark

Apache Calcite

Google Cloud Dataflow provides a simple, powerful model for building both batch and streaming parallel data processing pipelines.

A complete example of a big data application using : Kubernetes (kops/aws), Apache Spark SQL/Streaming/MLib, Apache Flink, Scala, Python, Apache Kafka, Apache Hbase, Apache Parquet, Apache Avro, Apache Storm, Twitter Api, MongoDB, NodeJS, Angular, GraphQL

자연어 처리와 텍스트 분석을 위한 오픈소스 파이썬 라이브러리 입니다.

The Accelerator is a tool for fast and reproducible processing of large amounts of data.

TEANAPS 라이브러리를 활용한 자연어 처리와 텍스트 분석 방법론에 대해 다룹니다.

The official home of the Presto distributed SQL query engine for big data

MetaSRA: normalized sample-specific metadata for the Sequence Read Archive

RMDL: Random Multimodel Deep Learning for Classification

Extract indicators of compromise from text, including "escaped" ones.

Resources for learning about Text Mining and Natural Language Processing

Simplified ETL process in Hadoop using Apache Spark. Has complete ETL pipeline for datalake. SparkSession extensions, DataFrame validation, Column extensions, SQL functions, and DataFrame transformations

rastercube is a python library for big data analysis of georeferenced time series data (e.g. MODIS NDVI)

Fundamentals of Spark with Python (using PySpark), code examples

🗣️ Tool to generate adversarial text examples and test machine learning models against them

Analytic platform for real-time large-scale streams containing structured and unstructured data.

A keyphrase extractor for Persian