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python pandas

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  Analyzed 1 day 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]

257K lines of code

351 current contributors

2 days since last commit

76 users on Open Hub

Very High Activity
4.93333
   
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Apache Spark

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Claimed by Apache Software Foundation Analyzed 2 days 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]

1.19M lines of code

439 current contributors

2 days since last commit

48 users on Open Hub

Very High Activity
5.0
 
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Apache Hive

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Claimed by Apache Software Foundation Analyzed 2 days 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]

1.48M lines of code

96 current contributors

2 days since last commit

22 users on Open Hub

Very High Activity
5.0
 
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rasdaman

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Claimed by rasdaman Analyzed 2 days ago

rasdaman is the pioneer Array Database enabling Big Data Analytics on massive multi-dimensional arrays ("datacubes") such as spatio-temporal sensor, image, simulation, and statistics data. Its declarative query language extends SQL with parallelized array operators. Tools supported include python ... [More] , R, GDAL, QGIS, OpenLayers, NASA WorldWind, and many more. 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]

573K lines of code

13 current contributors

3 days since last commit

19 users on Open Hub

Moderate Activity
5.0
 
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JasperReports Server

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  Analyzed about 1 year 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]

350K lines of code

35 current contributors

over 1 year since last commit

14 users on Open Hub

Activity Not Available
4.44444
   
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Apache Flink

Claimed by Apache Software Foundation Analyzed 2 days ago

Mirror of Apache Flink at git://git.apache.org/incubator-flink.git

1.32M lines of code

199 current contributors

11 days since last commit

8 users on Open Hub

Very High Activity
5.0
 
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Jaspersoft Studio

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  Analyzed about 1 year ago

Eclipse-based JasperReports Designer

988K lines of code

4 current contributors

about 1 year since last commit

7 users on Open Hub

Activity Not Available
5.0
 
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Apache Apex

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Claimed by Apache Software Foundation Analyzed 2 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]

275K lines of code

51 current contributors

2 days since last commit

6 users on Open Hub

High Activity
0.0
 
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Apache Storm

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Claimed by Apache Software Foundation Analyzed 2 days 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]

372K lines of code

98 current contributors

7 days since last commit

6 users on Open Hub

Very High Activity
5.0
 
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Alluxio (formerly Tachyon): A Memory Speed Virtual Distributed Stor...

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  Analyzed 2 days 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]

256K lines of code

401 current contributors

2 days since last commit

6 users on Open Hub

Very High Activity
5.0
 
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