RAWGraphs is a free and open source tool for data visualization. It is a web app that offers almost 30 visual models to visualize quantities, hierarchies and time series. Data inserted is processed only by the web browser, and projects can be saved or exported as vector or raster images.
Open Data Philly
OpenDataPhilly is a catalog of open data in the Philadelphia region. It is the official open data repository for the City of Philadelphia and also includes data sets from many organizations in the region. The catalog covers categories such as arts, culture and history, boundaries, budget and finance, economy, education, elections and politics, environment, food, health and human services, parks and recreation, planning and zoning, public safety, real estate and land records, and transportation.
Features
- official open data repository for the City of Philadelphia Source: opendataphilly.org
Uses
- catalog of open data in the Philadelphia region Source: opendataphilly.org
Links
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0RAWGraphs is a free and open source tool for data visualization. It is a web app that offers almost 30 visual models to visualize quantities, hierarchies and time series. Data inserted is processed only by the web browser, and projects can be saved or exported as vector or raster images.
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0InnoCentive describes itself as a science, technology and innovation crowd connecting organizations with individual solvers. Companies and universities post challenges with awards, while solvers submit proposals; the site lists live challenges and a marketplace for funded opportunities.
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0MatlabBGL is a Matlab package for working with graphs that uses the Boost Graph Library to implement graph algorithms. It is designed for large sparse graphs with hundreds of thousands of nodes and was written by David Gleich. The page lists version 4.0 as the latest release, with downloads hosted on the Matlab File Exchange.
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0DataTalks.Club. A weekly newsletter about data-related things..
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0Apache Hadoop is an open-source project that develops software for reliable, scalable, distributed computing. Its library is a framework for distributed processing of large data sets across clusters of computers using simple programming models, scaling from single servers to thousands of machines with local computation and storage, and detecting failures at the application layer.
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Apache Hama is a retired Apache Software Foundation Top-Level Project established in 2012. It is a framework for Big Data analytics that uses the Bulk Synchronous Parallel (BSP) computing model. It also provides vertex-centric and neuron-centric programming models inspired by Google's Pregel and DistBelief. Its components include core BSP, Apache MRQL for query processing, a graph computing package, and Apache Horn for deep learning, and it integrates with Hadoop HDFS.
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