Open Source Perl Information Analysis Software

Technical analysis library with indicators like ADX, MACD, RSI, Stochastic and TRIX, plus candlestick pattern recognition. Docs: https://ta-lib.org Available natively in C/C++, Java, Rust and C# with wrappers for python, R and many other ecosystems. MOVED TO GITHUB: https://github.com/TA-Lib/ta-lib . No further support is provided on SourceForge. Release 0.4.0 is very outdated, please check github for the most recent release.

Simple Event Correlator (SEC) is a lightweight event correlator for network management, log file monitoring, security management, fraud detection, and other tasks which involve event correlation.

Source code from the Research Institute for Signals, Systems and Computational Intelligence http://fich.unl.edu.ar/sinc

scriptLattes is an open-source system to create academic reports of groups based on curricula vitae of the Brazilian Lattes Database.

Th3Inspector is a Perl- and shell-based, all-in-one information-gathering toolkit built to quickly enumerate public and semi-public data about targets (domains, IPs, phone numbers, mail servers, etc.). It exposes a single command-line entrypoint (Th3inspector.pl) with many switches for common reconnaissance tasks — examples include website info, whois, MX lookup, geo-IP, subdomain discovery, CMS detection, port scanning, and Cloudflare real-IP resolution — so a user can chain many checks from one script. The project provides simple install wrappers for Linux, Android/Termux and even instructions for Windows (Perl + CPAN modules), and includes helper scripts to update or install dependencies automatically. The repository is actively packaged as versioned releases in the README (current noted version 1.9) and is distributed under an MIT license.

GPLIGC is a program for analysis and 3D visualization of GPS tracklogs (in igc format) as recorded by flight data recorders used by glider pilots.

A minimalist approach to share text documents and data annotations. Allows a large number of different annotations to be represented. Project files contain: - simple code to hold/read/write data and perform sample processing. - BioC-formatted corpora - BioC tools that work with BioC corpora BioC goals - simplicity - interoperability - broad use - reuse There should be little investment required to learn to use a format or a software module to process that format. We are interested in reuse, and we focus on common NLP tasks that are broadly useful for textmining.

Lascer liefert zu einer Menge binär klassifizierter Attribut-Vektoren eine Menge von Regeln zur Beschreibung der Klassen. Die Regeln können auch mathematische Funktionen enthalten, deren Art vorgegeben werden kann.

Pretty Damn Quick (PDQ) analytically solves queueing network models of computer and manufacturing systems, data networks, etc., written in conventional programming languages. Generic or customized reports of predicted performance measures are output.

A neuroscientific knowledge management system for the published literature

Comprehensive & high performance data distribution &transformation system. Features a simple, user-friendly event driven scripting interface transparently generates & execs highly efficient Perl/C code. Uses:ETL,datawarehousing,statistics,data-cleansing.

KML is a knowledge base with support of logical modeling. Advanced model is used to represent knowledge as a set of statements similar to natural language sentences. This project hosts a set of model storage library and server (vrb-ols) and clients.

The Thot toolkit repository has moved to http://daormar.github.io/thot/ Thot is a toolkit for statistical machine translation. The new Thot toolkit includes fully automatic and interactive machine translation, incremental training of statistical models, parallel estimation, ...

WWW::BookBot is a perl bot framework to fetch web e-texts with catalog, books and chapters.

AraMorph is an Arabic morphological analyzer and part-of-speech tagger.

For more information, please see home page.

An innovative Open Source CEP (Complex Event Processing) engine. It implements the event stream processing as a library embeddable in C++ and Perl. You can think of the Complex Event Processing engine as an in-memory database driven by triggers, or a data-flow machine, or a spreadsheet on steroids (and without the GUI part).

The BEE Project is a suite of tools supporting Business Intelligence project implementation including ETL tool and OLAP server and a thin client. The ROLAP server ensures multipass SQL generation and powerful cache management (utilizes MySQL RDBMS).

GEOSS: Gene Expression Open Source System (used to be called Genex Va) GEOSS is a secure, multiuser, gene expression database and analysis package. GEOSS is distinguished by a well developed web based user interface, and analysis/reporting.

Plinko was originally an experiment with Prefix Trees and log parsing. The general concept is to have a single end point you can send any data to, in a "fire and forget" fashion. Plinko should identify and parse the data completely without the sending system caring what it sent. The latest version supports named fields in the STL files for tagging data parsed in the Prefix Tree and anonymous functions for parsing dynamic message payloads. We now output JSON objects and I'm working on HBase integration. By outputting to JSON it also leaves open the possibility for on the fly in memory correlation between events. Read the included README before starting, it has a quick start guide and info on the constructors.

Part-of-speech tagging is the task of assigning symbols from a particular set to words in a natural language text. ACOPOST implements and extends well-known machine learning techniques and provides a uniform environment for testing.

The Genomic Diversity and Phenotype Data Model (GDPDM) captures molecular and phenotypic diversity data. MySQL databases are used to implement the schema. This project develops software tools (written in Java, Perl, etc.) associated with this model.

A web-based prediction market (Idea Futures) system. In prediction markets, the commodities traded are claims about future events; the market price gives a consensus probability about the event's likelihood of coming true.

miRDeep-P2 (miRDP2) is developed to accurately and fast analyze microRNAs (miRNAs) transcriptome in plants. It is adopted from miRDeep-P (miRDP) with new strategies and overhauled algorithm. We have tested miRDP2 to analyze miRNA transcriptomes in such plants with gradually increased genome size as Arabidopsis, rice, tomato, maize and wheat. Compared with miRDeep-P and several other computational tools, miRDP2 processed NGS data with superior speed. By incorporating newly updated plant miRNA annotation criteria, the accuracy of miRDP2 is also markedly improved. Our results demonstrate miRDP2 as a fast and accurate tool for analyzing the miRNA transcriptome in plants. Reference: https://doi.org/10.1093/bioinformatics/bty972

Flowcharts not telling you what you want to know about some C source code? Try a State Dependency map! Every C source file is an implemention of a state machine. Implicit in the definition of a state machine is a network of dependencies between the states. The Automalator * deconstructs the C code into the core state machine * collates the transactions into the dependency net * generates a diagram-format file with the states and dependencies as the nodes and edges. Pre-requisites * Perl - tested with versions 5.12.3, 5.14.2 and 5.20.2, Windows, Linux and MAC * Get the Automalator by downloading the zip, or checking out or exporting the SVN trunk * copy the source code of interest into "project.c" * windows - double-click "src2map.bat" * linux & MAC - navigate the command line to the "project" folder, then run "src2map.sh" * open "project.gml" file with diagramming software.