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Matthew Tovbin's Projects

mass-alarms icon mass-alarms

Command line tool for managing a large amount of AWS CloudWatch alarms

modsecurity icon modsecurity

ModSecurity is an open source, cross platform web application firewall (WAF) engine for Apache, IIS and Nginx that is developed by Trustwave's SpiderLabs. It has a robust event-based programming language which provides protection from a range of attacks against web applications and allows for HTTP traffic monitoring, logging and real-time analysis. With over 10,000 deployments world-wide, ModSecurity is the most widely deployed WAF in existence.

rand57 icon rand57

Expand random range [1,5] to [1,7]

random-bytes icon random-bytes

Gridjs – is a free browser based computational grid, that allows to run distributed computations using MapReduce framework

rediscala icon rediscala

Non-blocking, Reactive Redis driver for Scala

rpsls icon rpsls

Rock Paper Scissors Lizzard Spock World Championship in Erlang

scaldas icon scaldas

Scaldas - is a collection of well-known data structures implemented in Scala

sourcecode icon sourcecode

Scala library providing "source" metadata to your program, similar to Python's __name__, C++'s __LINE__ or Ruby's __FILE__.

spark-hazelcast-connector icon spark-hazelcast-connector

Spark-Hazelcast Connector: - Exposes Hazelcast Distributed Objects(DistributedMap, MultiMap, ReplicatedMap, DistributedList, DistributedSet and DistributedQueue) as Spark RDDs. - Writes RDDs back to Hazelcast by implicit writeEntryToHazelcast / writeItemToHazelcast / writeMessageToHazelcast call. - Writes Hazelcast Distributed Object Events to Spark as DStream and creates HazelcastEntryStream, HazelcastItemStream and HazelcastMessageStream. - Write Spark DStreams back to Hazelcast by implicit writeEntryToHazelcast / writeItemToHazelcast / writeMessageToHazelcast call.

statacus icon statacus

A particularly poorly named client for Statsd in Scala

transmogrifai icon transmogrifai

TransmogrifAI (pronounced trăns-mŏgˈrə-fī) is an AutoML library for building modular, reusable, strongly typed machine learning workflows on Spark with minimal hand tuning

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