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python pandas

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  Analyzed 7 months ago

pandas is a Python package providing fast, flexible, and expressive data structures designed to make working with "relational" or "labeled" data both easy and intuitive. It aims to be the fundamental high-level building block for doing practical, real world data analysis in Python. Additionally, it ... [More] has the broader goal of becoming the most powerful and flexible open source data analysis / manipulation tool available in any language. pandas is well suited for many different kinds of data: * Tabular data, as in an SQL table or Excel spreadsheet * Ordered and unordered (not necessarily fixed-frequency) time series data * Matrix data, potentially with row and column labels * Any other form of common structured data [Less]

400K lines of code

449 current contributors

7 months since last commit

89 users on Open Hub

Activity Not Available
4.9375
   
1 Review
I Use This
Mostly written in Python
Licenses: BSD-3-Clause
Tags bigdata python statistics

Apache Spark

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Claimed by Apache Software Foundation Analyzed 3 months ago

Apache Spark is an open source cluster computing system that aims to make data analytics fast — both fast to run and fast to write. To run programs faster, Spark provides primitives for in-memory cluster computing: your job can load data into memory and query it repeatedly more rapidly than with ... [More] disk-based systems like Hadoop. To make programming faster, Spark offers high-level APIs in Scala, Java and Python, letting you manipulate distributed datasets like local collections. You can also use Spark interactively to query big data from the Scala or Python shells. Spark integrates closely with Hadoop to run inside Hadoop clusters and can access any existing Hadoop data source. [Less]

1.02M lines of code

374 current contributors

3 months since last commit

56 users on Open Hub

Activity Not Available
5.0
 
0 Reviews
I Use This
Mostly written in Scala
Licenses: apache_2
Tags apache bigdata cluster clustercomputing distributed distributed_computing ec2 graph_computing hadoop hdfs in_memory java 8 more...

Apache Hive

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Claimed by Apache Software Foundation Analyzed over 1 year ago

Hive is a data warehouse infrastructure built on top of Hadoop that provides tools to enable easy data summarization, adhoc querying and analysis of large datasets data stored in Hadoop files. It provides a mechanism to put structure on this data and it also provides a simple query language called ... [More] Hive QL which is based on SQL and which enables users familiar with SQL to query this data. At the same time, this language also allows traditional map/reduce programmers to be able to plug in their custom mappers and reducers to do more sophisticated analysis which may not be supported by the built-in capabilities of the language. [Less]

1.77M lines of code

0 current contributors

almost 3 years since last commit

23 users on Open Hub

Activity Not Available
5.0
 
0 Reviews
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Mostly written in Java
Licenses: apache_2
Tags apache bigdata cluster clustercomputing distributed_computing hadoop hdfs java mapreduce orc spark sql 4 more...

rasdaman

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Claimed by rasdaman Analyzed 3 months ago

rasdaman is the pioneer Array DBMS enabling Big Data Analytics on massive n-D arrays ("datacubes") such as spatio-temporal sensor, image, simulation, and statistics data. Its declarative query language extends SQL with high-level array operators. Frontends supported include python, R, GDAL, QGIS ... [More] , OpenLayers, NASA WorldWind, and many more. Client-side parts are LGPL for free use of rasdaman in open and closed applications; the server itself (a separate process) is GPL implementing the paradigm of "life is a give and take". rasdaman has been released into OS by rasdaman GmbH and is now co-led by Jacobs U, the makers of several Big Data standards: ISO Array SQL, OGC WCS and WCPS; rasdaman is official OGC and INSPIRE WCS Reference Implementation and part of OSGeo Live (live.osgeo.org). [Less]

597K lines of code

11 current contributors

3 months since last commit

20 users on Open Hub

Activity Not Available
5.0
 
1 Review
I Use This
Mostly written in C++
Licenses: gpl3_or_l...
Tags analytics array_processing arrayquery bigdata database scientificdataanalysis

JasperReports Server

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  Analyzed over 2 years ago

JasperReports Server is part of the Jaspersoft Business Intelligence Suite, an open source business intelligence platform from Jaspersoft, providing common services like security and metadata management, and the capability to easily add additional functionality. JasperReports Server is built by the ... [More] developers of JasperReports, the leading open source reporting engine. See the JasperReports Server community at: http://community.jaspersoft.com [Less]

0 lines of code

0 current contributors

0 since last commit

14 users on Open Hub

Activity Not Available
4.44444
   
0 Reviews
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Mostly written in language not available
Licenses: AGPL3
Tags analytics bigdata business_intelligence charting charts csv dashboards data embedded excel ireport jasper 8 more...

Apache Flink

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Claimed by Apache Software Foundation Analyzed 3 months ago

Apache Flink is a framework and distributed processing engine for stateful computations over unbounded and bounded data streams. Flink has been designed to run in all common cluster environments, perform computations at in-memory speed and at any scale. Learn more about Flink at http://flink.apache.org/

1.94M lines of code

323 current contributors

3 months since last commit

9 users on Open Hub

Activity Not Available
5.0
 
0 Reviews
I Use This
Mostly written in Java
Licenses: apache_2
Tags apache bigdata cluster distributed hadoop java machinelearning mapreduce scala streaming

Jaspersoft Studio

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  Analyzed 27 days ago

Eclipse-based JasperReports Designer

1.04M lines of code

0 current contributors

4 months since last commit

7 users on Open Hub

Moderate Activity
5.0
 
0 Reviews
I Use This
Mostly written in Java
Licenses: eclipse
Tags bigdata business_intelligence charting charts dashboards data database ide jasper jasperreports java jdbc 7 more...

Apache Storm

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Claimed by Apache Software Foundation Analyzed over 2 years ago

Storm is a free and open source distributed realtime computation system. Storm makes it easy to reliably process unbounded streams of data, doing for realtime processing what Hadoop did for batch processing. Storm is simple, can be used with any programming language. Storm is fast: a benchmark ... [More] clocked it at over a million tuples processed per second per node. It is scalable, fault-tolerant, guarantees your data will be processed, and is easy to set up and operate. Storm integrates with the queueing and database technologies you already use. A Storm topology consumes streams of data and processes those streams in arbitrarily complex ways, repartitioning the streams between each stage of the computation however needed. [Less]

349K lines of code

45 current contributors

almost 3 years since last commit

6 users on Open Hub

Activity Not Available
5.0
 
0 Reviews
I Use This
Mostly written in Java
Licenses: apache_2
Tags bigdata cloud cluster clustercomputing datastreams distributed distributed_computing distributedsystem ec2 fault_tolerant java json 8 more...

Alluxio (formerly Tachyon): A Memory Speed Virtual Distributed Stor...

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  Analyzed 3 months ago

Alluxio, formerly Tachyon, is a memory speed virtual distributed storage enabling reliable data sharing at memory-speed across cluster jobs. Alluxio lies between computation frameworks, such as Spark, MapReduce, or Flink, and various storage systems, such as Amazon S3, OpenStack Swift, GlusterFS ... [More] , HDFS, or Ceph. Alluxio brings significant performance improvement and bridges new workloads with data stored in traditional storage. Alluxio is Hadoop compatible. Existing Spark and MapReduce programs can run on top of it without code changes. The project is deployed at multiple companies. With less than three years open source history, Alluxio has attracted more than 600 contributors from over 200 institutions, including Alibaba, Alluxio, Baidu, IBM, Intel, Red Hat, and UC Berkeley. [Less]

297K lines of code

210 current contributors

3 months since last commit

6 users on Open Hub

Activity Not Available
5.0
 
0 Reviews
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Mostly written in Java
Licenses: apache_2
Tags bigdata distributedsystems memorycentric storage virtual

Apache Apex

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Claimed by Apache Software Foundation Analyzed 28 days ago

Apache Apex is an enterprise grade big data-in-motion platform that unifies stream and batch processing. Apex was built for scalability and low-latency processing, high availability and operability. The Apex engine is supplemented by Malhar, the library of pre-built operators, including connectors ... [More] that integrate with many existing technologies as sources and destinations, like message buses, databases, files or social media feeds. [Less]

284K lines of code

1 current contributors

over 1 year since last commit

6 users on Open Hub

Very Low Activity
0.0
 
0 Reviews
I Use This
Mostly written in Java
Licenses: apache_2
Tags analytics apache bigdata cluster datastream distributed fault_tolerant hadoop high_performance java opensource realtime 4 more...