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MEMEX-software.json
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[
{
"DARPA Program": "MEMEX",
"Program Teams": [
"MIT Lincoln Laboratory"
],
"Contributors": [
""
],
"Sub-contractors": [
""
],
"Software": "Text.jl",
"Internal Link": "",
"External Link": "https://github.com/mit-nlp/Text.jl",
"Public Code Repo": "https://github.com/mit-nlp/Text.jl",
"Instructional Material": "",
"Stats": "dossier",
"Description": "Text.jl provided numerous tools for text processing optimized for the Julia language. Functionality supported include algorithms for feature extraction, text classification, and language identification. (Julia)",
"Internal Code Repo": "",
"License": [
"ALv2"
],
"Languages": [
"Julia"
],
"Platform Requirements": [
""
],
"Dependent modules": [
"MLBase"
],
"Dependent module URLs": [
"Dependent Modules can all be downloaded from the Julia Central Repository"
],
"Component modules": [
"(Devectorize, DataStructures, GZip, Iterators) Stage, Ollam "
],
"Component module URLs": [
"Component modules listed in parentheses are available via the Julia Central Repository. Stage and Ollam are available for manual install via https://github.com/saltpork/Stage.jl and https://github.com/mit-nlp/Ollam.jl"
],
"Industry": [
""
],
"Functionality": [
"Text Processing", "Metadata Extraction", "Machine Learning"
],
"Categories": [
"Natural Language Processing"
],
"New Date": "20150414",
"Update Date": ""
},
{
"DARPA Program": "MEMEX",
"Program Teams": [
"The Tor Project",
"SRI International"
],
"Contributors": [
""
],
"Sub-contractors": [
""
],
"Software": "Tor",
"Internal Link": "",
"External Link": "https://www.torproject.org/",
"Public Code Repo": "https://gitweb.torproject.org/tor.git/",
"Instructional Material": "",
"Stats": "",
"Description": "The core software for using and participating in the Tor network. (C)",
"Internal Code Repo": "",
"License": [
"BSDv3"
],
"Languages": [
"C"
],
"Platform Requirements": [
""
],
"Dependent modules": [
""
],
"Dependent module URLs": [
""
],
"Component modules": [
""
],
"Component module URLs": [
""
],
"Industry": [
""
],
"Functionality": [
"Anonymity",
"privacy",
"censorship circumvention"
],
"Categories": [
"Infrastructure"
],
"New Date": "20150413",
"Update Date": "20150413"
},
{
"DARPA Program": "MEMEX",
"Program Teams": [
"Diffeo, Inc."
],
"Contributors": [
""
],
"Sub-contractors": [
""
],
"Software": "Dossier Stack",
"Internal Link": "https://memexproxy.com/wiki/display/MEM/Dossier+Stack",
"External Link": "http://dossier-stack.readthedocs.org",
"Public Code Repo": "https://github.com/dossier",
"Instructional Material": "",
"Stats": "dossier",
"Description": "Dossier Stack provides a framework of library components for building active search applications that learn what users want by capturing their actions as truth data. The frameworks web services and javascript client libraries enable applications to efficiently capture user actions such as organizing content into folders, and allows back end algorithms to train classifiers and ranking algorithms to recommend content based on those user actions. (Python/JavaScript/Java)",
"Internal Code Repo": "",
"License": [
"MIT"
],
"Languages": [
"Python",
"JavaScript",
"Java"
],
"Platform Requirements": [
"Available as a docker container or can install on python 2.7 via pip"
],
"Dependent modules": [
""
],
"Dependent module URLs": [
""
],
"Component modules": [
""
],
"Component module URLs": [
""
],
"Industry": [
""
],
"Functionality": [
"active search and recommendations framework",
"machine learning tools for active ranking"
],
"Categories": [
"Machine Learning"
],
"New Date": "20150410",
"Update Date": ""
},
{
"DARPA Program": "MEMEX",
"Program Teams": [
"Carnegie Mellon University"
],
"Contributors": [
""
],
"Sub-contractors": [
""
],
"Software": "TJBatchExtractor",
"Internal Link": "https://memexproxy.com/wiki/display/MEM/Carnegie+Mellon+University",
"External Link": "https://github.com/mille856/CMU_memex_kickoff",
"Public Code Repo": "https://github.com/mille856/CMU_memex_kickoff",
"Instructional Material": "",
"Stats": "CMU_memex_kickoff",
"Description": "Regex based information extractor for online advertisements (Java).",
"Internal Code Repo": "",
"License": [
"MIT"
],
"Languages": [
"Java"
],
"Platform Requirements": [
""
],
"Dependent modules": [
""
],
"Dependent module URLs": [
""
],
"Component modules": [
""
],
"Component module URLs": [
""
],
"Industry": [
"Escort"
],
"Functionality": [
"Information extraction"
],
"Categories": [
"Natural Language Processing"
],
"New Date": "20150410",
"Update Date": ""
},
{
"DARPA Program": "MEMEX",
"Program Teams": [
"Georgetown University"
],
"Contributors": [
""
],
"Sub-contractors": [
""
],
"Software": "Dumpling",
"Internal Link": "https://memexproxy.com/wiki/display/MEM/Georgetown+University",
"External Link": "http://www.dumplingproject.org",
"Public Code Repo": "https://github.com/jiezhou0731/Dumpling",
"Instructional Material": "",
"Stats": "Dumpling",
"Description": "Dumpling implements a novel dynamic search engine which refines search results on the fly. Dumpling utilizes the Winwin algorithm and the Query Change retrieval Model (QCM) to infer the user's state and tailor search results accordingly. Dumpling provides a friendly user interface for user to compare the static results and dynamic results. (Java, JavaScript, HTML, CSS)",
"Internal Code Repo": "https://github.com/jiezhou0731/Dumpling",
"License": [
"Public Domain"
],
"Languages": [
"Java",
"JavaScript",
"HTML",
"CSS"
],
"Platform Requirements": [
"Ubuntu"
],
"Dependent modules": [
""
],
"Dependent module URLs": [
""
],
"Component modules": [
""
],
"Component module URLs": [
""
],
"Industry": [
""
],
"Functionality": [
"Dynamic Information Retrieval",
"Information Retrieval Modeling",
"Session Search",
"Search Engine"
],
"Categories": [
"Information Retrieval",
"Search Algorithms",
"Machine Learning"
],
"New Date": "20150410",
"Update Date": ""
},
{
"DARPA Program": "MEMEX",
"Program Teams": [
"Georgetown University"
],
"Contributors": [
""
],
"Sub-contractors": [
""
],
"Software": "TREC-DD Annotation",
"Internal Link": "https://memexproxy.com/wiki/display/MEM/Georgetown+University",
"External Link": "https://github.com/shawn67/TREC-DD-Annotation-Tool",
"Public Code Repo": "https://github.com/shawn67/TREC-DD-Annotation-Tool",
"Instructional Material": "",
"Stats": "TREC-DD-Annotation-Tool",
"Description": "This Annotation Tool supports the annotation task in creating ground truth data for TREC Dynamic Domain Track. It adopts drag and drop approach for assessor to annotate passage-level relevance judgement. It also supports multiple ways of browsing and search in various domains of corpora used in TREC DD. (Python, JavaScript, HTML, CSS)",
"Internal Code Repo": "https://github.com/shawn67/TREC-DD-Annotation-Tool",
"License": [
"Public Domain"
],
"Languages": [
"Python",
"HTML",
"CSS",
"JavaScript"
],
"Platform Requirements": [
"Chrome 4.0+",
"Firefox 3.5+",
"IE 9+",
"Safari 6.0+"
],
"Dependent modules": [
""
],
"Dependent module URLs": [
""
],
"Component modules": [
""
],
"Component module URLs": [
""
],
"Industry": [
""
],
"Functionality": [
"TREC",
"Dynamic Domain",
"Human annotation",
"Evaluation",
"Search Result Evaluation"
],
"Categories": [
"Search Result Evaluation"
],
"New Date": "20150410",
"Update Date": ""
},
{
"DARPA Program": "MEMEX",
"Program Teams": [
"Georgetown University"
],
"Contributors": [
""
],
"Sub-contractors": [
""
],
"Software": "CubeTest",
"Internal Link": "https://memexproxy.com/wiki/display/MEM/Georgetown+University",
"External Link": "https://github.com/trec-dd/trec-dd-metrics/tree/master/cube-test/cubetest",
"Public Code Repo": "https://github.com/trec-dd/trec-dd-metrics/tree/master/cube-test/cubetest",
"Instructional Material": "",
"Stats": "cubetest",
"Description": "Official evaluation metric used for evaluation for TREC Dynamic Domain Track. It is a multiple-dimensional metric that measures the effectiveness of complete a complex and task-based search process. (Perl)",
"Internal Code Repo": "https://github.com/trec-dd/trec-dd-metrics/tree/master/cube-test/cubetest",
"License": [
"Public Domain"
],
"Languages": [
"Perl"
],
"Platform Requirements": [
"Unix"
],
"Dependent modules": [
""
],
"Dependent module URLs": [
""
],
"Component modules": [
""
],
"Component module URLs": [
""
],
"Industry": [
""
],
"Functionality": [
"TREC Dynamic Domain",
"Evaluation",
"System Evaluation",
"Retrieval Algorithm Evaluation"
],
"Categories": [
"Search Result Evaluation"
],
"New Date": "20150410",
"Update Date": ""
},
{
"DARPA Program": "MEMEX",
"Program Teams": [
"Hyperion Gray, LLC",
"Scrapinghub"
],
"Contributors": [
""
],
"Sub-contractors": [
""
],
"Software": "Autologin",
"Internal Link": "",
"External Link": "https://github.com/TeamHG-Memex/autologin",
"Public Code Repo": "https://github.com/TeamHG-Memex/autologin",
"Instructional Material": "",
"Stats": "autologin",
"Description": "AutoLogin is a crawling utility that attempts to automatically find the login page of a website given a seed URL, and then automatically log in to that website given valid credentials. AutoLogin can be used as a library or as a service. This service gives users an easy way to handle autologin without having to find the login form manually or build POST requests to log in. Users can simply specify any reasonable starting point to crawl a website (e.g. the home page), give AutoLogin a set of credentials and it logs in automatically, providing the authenticated headers/cookies back to the users for use in crawlers or scrapers. (Python)",
"Internal Code Repo": "",
"License": [
"ALv2"
],
"Languages": [
"Python"
],
"Platform Requirements": [
"Linux 64bit"
],
"Dependent modules": [
""
],
"Dependent module URLs": [
""
],
"Component modules": [
""
],
"Component module URLs": [
""
],
"Industry": [
""
],
"Functionality": [
"Web Crawling",
"Login",
"Autologin"
],
"Categories": [
"Data Collection"
],
"New Date": "20150410",
"Update Date": ""
},
{
"DARPA Program": "MEMEX",
"Program Teams": [
"Hyperion Gray, LLC",
"Scrapinghub"
],
"Contributors": [
""
],
"Sub-contractors": [
""
],
"Software": "Formasaurus",
"Internal Link": "",
"External Link": "https://github.com/TeamHG-Memex/Formasaurus",
"Public Code Repo": "https://github.com/TeamHG-Memex/Formasaurus",
"Instructional Material": "",
"Stats": "Formasaurus",
"Description": "Formasaurus is a Python package that tells users the type of an HTML form: is it a login, search, registration, password recovery, join mailing list, contact form or something else. Under the hood it uses machine learning. (Python)",
"Internal Code Repo": "",
"License": [
"ALv2"
],
"Languages": [
"Python"
],
"Platform Requirements": [
"Linux 64bit"
],
"Dependent modules": [
""
],
"Dependent module URLs": [
""
],
"Component modules": [
""
],
"Component module URLs": [
""
],
"Industry": [
""
],
"Functionality": [
"Web Crawling",
"Form Identification"
],
"Categories": [
"Data Collection"
],
"New Date": "20150410",
"Update Date": ""
},
{
"DARPA Program": "MEMEX",
"Program Teams": [
"Hyperion Gray, LLC",
"Scrapinghub"
],
"Contributors": [
""
],
"Sub-contractors": [
""
],
"Software": "HG Profiler",
"Internal Link": "",
"External Link": "https://github.com/TeamHG-Memex/hgprofiler",
"Public Code Repo": "https://github.com/TeamHG-Memex/hgprofiler",
"Instructional Material": "",
"Stats": "hgprofiler",
"Description": "HG Profiler is a tool based on the Recon-ng tool's profiler module (see http://webbreacher.blogspot.com/2014/12/recon-ng-profiler-module.html). This version is distributed and runs more efficiently than the original, but was otherwise significantly inspired by the Recon-ng module. The tool allows users to take a list of usernames from a particular source and look for that same username across hundreds of other websites. The list of sites to cross-check is extensible. The distributed nature of the tool means that users can check a large number of usernames in a short amount of time. (Python)",
"Internal Code Repo": "",
"License": [
"ALv2"
],
"Languages": [
"Python"
],
"Platform Requirements": [
"Linux 64bit"
],
"Dependent modules": [
""
],
"Dependent module URLs": [
""
],
"Component modules": [
""
],
"Component module URLs": [
""
],
"Industry": [
""
],
"Functionality": [
"Web Crawling",
"Personas",
"Entity Research"
],
"Categories": [
"Data Collection"
],
"New Date": "20150410",
"Update Date": ""
},
{
"DARPA Program": "MEMEX",
"Program Teams": [
"Hyperion Gray, LLC",
"Scrapinghub"
],
"Contributors": [
""
],
"Sub-contractors": [
""
],
"Software": "SourcePin",
"Internal Link": "",
"External Link": "https://github.com/TeamHG-Memex/memex-pinterest",
"Public Code Repo": "https://github.com/TeamHG-Memex/memex-pinterest",
"Instructional Material": "",
"Stats": "",
"Description": "SourcePin is a tool to assist users in discovering websites that contain content they are interested in for a particular topic, or domain. Unlike a search engine, SourcePin allows a non-technical user to leverage the power of an advanced automated smart web crawling system to generate significantly more results than the manual process typically does, in significantly less time. The User Interface of SourcePin allows users to quickly across through hundreds or thousands of representative images to quickly find the websites they are most interested in. SourcePin also has a scoring system which takes feedback from the user on which websites are interesting and, using machine learning, assigns a score to the other crawl results based on how interesting they are likely to be for the user. The roadmap for SourcePin includes integration with other tools and a capability for users to actually extract relevant information from the crawl results. (Python, JavaScript)",
"Internal Code Repo": "",
"License": [
"ALv2"
],
"Languages": [
"Python",
"JavaScript"
],
"Platform Requirements": [
"Linux 64bit"
],
"Dependent modules": [
""
],
"Dependent module URLs": [
""
],
"Component modules": [
""
],
"Component module URLs": [
""
],
"Industry": [
""
],
"Functionality": [
"Web Crawling",
"Information Retrieval",
"Search",
"Machine Learning"
],
"Categories": [
"Data Collection"
],
"New Date": "20150410",
"Update Date": ""
},
{
"DARPA Program": "MEMEX",
"Program Teams": [
"Hyperion Gray, LLC",
"Scrapinghub"
],
"Contributors": [
""
],
"Sub-contractors": [
""
],
"Software": "Scrapy-Dockerhub",
"Internal Link": "",
"External Link": "https://github.com/TeamHG-Memex/scrapy-dockerhub",
"Public Code Repo": "https://github.com/TeamHG-Memex/scrapy-dockerhub",
"Instructional Material": "",
"Stats": "scrapy-dockerhub",
"Description": "Scrapy-Dockerhub is a deployment setup for Scrapy spiders that packages the spider and all dependencies into a Docker container, which is then managed by a Fabric command line utility. With this setup, users can run spiders seamlessly on any server, without the need for Scrapyd which typically handles the spider management. With Scrapy-Dockerhub, users issue one command to deploy spider with all dependencies to the server and second command to run it. There are also commands for viewing jobs, logs, etc. (Python)",
"Internal Code Repo": "",
"License": [
"ALv2"
],
"Languages": [
"Python"
],
"Platform Requirements": [
"Linux 64bit"
],
"Dependent modules": [
""
],
"Dependent module URLs": [
""
],
"Component modules": [
""
],
"Component module URLs": [
""
],
"Industry": [
""
],
"Functionality": [
"Web Crawling"
],
"Categories": [
"Data Collection"
],
"New Date": "20150410",
"Update Date": ""
},
{
"DARPA Program": "MEMEX",
"Program Teams": [
"University of Southern California Information Sciences Institute"
],
"Contributors": [
""
],
"Sub-contractors": [
"Next Century Corporation",
"Columbia University",
"NASA JPL",
"Inferlink"
],
"Software": "Karma",
"Internal Link": "https://memexproxy.com/wiki/pages/viewpage.action?pageId=1902213",
"External Link": "http://www.isi.edu/integration/karma/",
"Public Code Repo": "https://github.com/usc-isi-i2/Web-Karma",
"Instructional Material": "",
"Stats": "Web-Karma",
"Description": "Karma is an information integration tool that enables users to quickly and easily integrate data from a variety of data sources including databases, spreadsheets, delimited text files, XML, JSON, KML and Web APIs. Users integrate information by modelling it according to an ontology of their choice using a graphical user interface that automates much of the process. (Java, JavaScript)",
"Internal Code Repo": "",
"License": [
"ALv2"
],
"Languages": [
"Java",
"JavaScript"
],
"Platform Requirements": [
""
],
"Dependent modules": [
""
],
"Dependent module URLs": [
""
],
"Component modules": [
""
],
"Component module URLs": [
""
],
"Industry": [
""
],
"Functionality": [
"Information Integration"
],
"Categories": [
"Infrastructure"
],
"New Date": "20150410",
"Update Date": ""
},
{
"DARPA Program": "MEMEX",
"Program Teams": [
"University of Southern California Information Sciences Institute",
"Next Century Corporation"
],
"Contributors": [
""
],
"Sub-contractors": [
"Next Century Corporation",
"Columbia University",
"NASA JPL",
"Inferlink"
],
"Software": "DIG",
"Internal Link": "https://memexproxy.com/wiki/pages/viewpage.action?pageId=1902213",
"External Link": "https://github.com/NextCenturyCorporation/dig",
"Public Code Repo": "https://github.com/NextCenturyCorporation/dig",
"Instructional Material": "",
"Stats": "dig",
"Description": "DIG is a visual analysis tool based on a faceted search engine that enables rapid, interactive exploration of large data sets. Users refine their queries by entering search terms or selecting values from lists of aggregated attributes. DIG can be quickly configured for a new domain through simple configuration. (JavaScript)",
"Internal Code Repo": "",
"License": [
"ALv2"
],
"Languages": [
"JavaScript"
],
"Platform Requirements": [
""
],
"Dependent modules": [
""
],
"Dependent module URLs": [
""
],
"Component modules": [
""
],
"Component module URLs": [
""
],
"Industry": [
""
],
"Functionality": [
"Faceted Search",
"Web Applications",
"HTML5"
],
"Categories": [
"Visualization"
],
"New Date": "20150410",
"Update Date": ""
},
{
"DARPA Program": "MEMEX",
"Program Teams": [
"IST Research",
"Parse.ly"
],
"Contributors": [
""
],
"Sub-contractors": [
""
],
"Software": "streamparse",
"Internal Link": "",
"External Link": "https://github.com/Parsely/streamparse",
"Public Code Repo": "https://github.com/Parsely/streamparse.git",
"Instructional Material": "",
"Stats": "streamparse",
"Description": "streamparse runs Python code against real-time streams of data. It allows users to spin up small clusters of stream processing machines locally during development. It also allows remote management of stream processing clusters that are running Apache Storm. It includes a Python module implementing the Storm multi-lang protocol; a command-line tool for managing local development, projects, and clusters; and an API for writing data processing topologies easily. (Python, Clojure)",
"Internal Code Repo": "",
"License": [
"ALv2"
],
"Languages": [
"Python",
"Clojure"
],
"Platform Requirements": [
"UNIX-like System (Mac OS X, Linux)"
],
"Dependent modules": [
""
],
"Dependent module URLs": [
""
],
"Component modules": [
""
],
"Component module URLs": [
""
],
"Industry": [
""
],
"Functionality": [
"Distributed Workflows",
"Stream Processing",
"Storm + Python Language Support"
],
"Categories": [
"Analytics",
"Distributed Programming",
"Infrastructure",
"Systems Integration"
],
"New Date": "20150410",
"Update Date": ""
},
{
"DARPA Program": "MEMEX",
"Program Teams": [
"IST Research",
"Parse.ly"
],
"Contributors": [
""
],
"Sub-contractors": [
""
],
"Software": "pykafka",
"Internal Link": "",
"External Link": "https://github.com/Parsely/pykafka",
"Public Code Repo": "https://github.com/Parsely/pykafka.git",
"Instructional Material": "",
"Stats": "pykafka",
"Description": "pykafka is a Python driver for the Apache Kafka messaging system. It enables Python programmers to publish data to Kafka topics and subscribe to existing Kafka topics. It includes a pure-Python implementation as well as an optional C driver for increased performance. It is the only Python driver to have feature parity with the official Scala driver, supporting both high-level and low-level APIs, including balanced consumer groups for high-scale uses. (Python)",
"Internal Code Repo": "",
"License": [
"ALv2"
],
"Languages": [
"Python"
],
"Platform Requirements": [
"UNIX-like System (Mac OS X, Linux)"
],
"Dependent modules": [
""
],
"Dependent module URLs": [
""
],
"Component modules": [
""
],
"Component module URLs": [
""
],
"Industry": [
""
],
"Functionality": [
"Distributed Messaging",
"Kafka + Python Driver"
],
"Categories": [
"Analytics",
"Distributed Programming",
"Infrastructure",
"Systems Integration"
],
"New Date": "20150410",
"Update Date": ""
},
{
"DARPA Program": "MEMEX",
"Program Teams": [
"Jet Propulsion Laboratory"
],
"Contributors": [
""
],
"Sub-contractors": [
"Continuum",
"Kitware"
],
"Software": "ImageSpace",
"Internal Link": "",
"External Link": "https://github.com/memex-explorer/image_space",
"Public Code Repo": "https://github.com/memex-explorer/image_space",
"Instructional Material": "",
"Stats": "image_space",
"Description": "ImageSpace provides the ability to analyze and search through large numbers of images. These images may be text searched based on associated metadata and OCR text or a new image may be uploaded as a foundation for a search. (Python)",
"Internal Code Repo": "",
"License": [
"ALv2"
],
"Languages": [
"Python"
],
"Platform Requirements": [
""
],
"Dependent modules": [
""
],
"Dependent module URLs": [
""
],
"Component modules": [
""
],
"Component module URLs": [
""
],
"Industry": [
""
],
"Functionality": [
"Image Processing",
"Image Search"
],
"Categories": [
"Analysis",
"Visualization"
],
"New Date": "20150410",
"Update Date": ""
},
{
"DARPA Program": "MEMEX",
"Program Teams": [
"Jet Propulsion Laboratory"
],
"Contributors": [
""
],
"Sub-contractors": [
"Continuum",
"Kitware"
],
"Software": "FacetSpace",
"Internal Link": "",
"External Link": "https://github.com/pymonger/facetview-memex",
"Public Code Repo": "https://github.com/pymonger/facetview-memex",
"Instructional Material": "",
"Stats": "",
"Description": "FacetSpace allows the investigation of large data sets based on the extraction and manipulation of relevant facets. These facets may be almost any consistent piece of information that can be extracted from the dataset: names, locations, prices, etc... (JavaScript)",
"Internal Code Repo": "",
"License": [
""
],
"Languages": [
""
],
"Platform Requirements": [
""
],
"Dependent modules": [
""
],
"Dependent module URLs": [
""
],
"Component modules": [
""
],
"Component module URLs": [
""
],
"Industry": [
""
],
"Functionality": [
""
],
"Categories": [
"Analysis"