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Automate contact and company data extraction
Build lead generation pipelines that pull emails, phone numbers, and company details from directories, maps, social platforms. Full API access.
Generate leads at scale without building or maintaining scrapers. Use 10,000+ ready-made tools that handle authentication, pagination, and anti-bot protection. Pull data from business directories, social profiles, and public sources, then export to your CRM or database via API. Schedule recurring extractions, enrich existing datasets, and integrate with your workflows.
An R package implementation of a consensus clustering methodology. This package allows users to perform re-sampling statistics based clustering using multiple clustering algorithms to assess the robustness of both clusters and members of clusters.
MooGraph is an utility to produce interactive dynamical graphs from statistical data. Deliberately inspired to GapMinder, it represents the evolution of multivariate data in time by means of coloured bubbles of variable sizes on an (x,y) plot.
This project hosts tools used for analysis of Gaussian Mixture Distributions (GMDs) which are used for statistical signal processing. The tools are libraries for implementing GMD operations and programs used to analyze properties of GMDs.
STATPerl (Statistics with Perl) is a free Statistical Software based on Perl. Perl source codes for various statistical analysis are given with it. User can add new analysis and edit existing one. An inbuilt Perl IDE comes with it.
Proactively monitor, manage, and support client networks with ConnectWise Automate
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Worst Cases is a python script that enables calculations on worst case objects. Like a calculator operating on worst cases (e.g. [1,2,3]) rather than on real numbers (2.35) WARNING: This program is released as is, and has never been extensively teste
This project adds a ribbon to excel with a number of statistical buttons. This is not intended to be a full statistical analysis package (like R), but only a source for quick visualizations and calculations. For Excel2007 and up
Optimization tool that mimics the darwinian reproduction, selection, mutation process. It has 2 components: the optimization algorithm and an interpretar to define function to optimize and constraints. It is all written in java (netbeans).
A alternative to the SAS Viewer written in SAS/AF. First presented on 2010-10-05 in BASAS meeting. With extended abilities in sorting, filtering, simple frequency count, statistics and various data review oriented features.
A Matlab toolbox for interfacing with the pure JAVA numerical library Snifflib. This toolbox provides convenience m-files for interoperability with Snifflib from within an active Matlab session running a JAVA virtual machine.
An R package for detailed inspection and analysis of LCMS data. An R package developed by Sukhdeep Singh at Department of Surgery and Cancer, Imperial College London,UK.
A stock reports generating application in SAS. This application can download the stock data from yahoo finance, then input into SAS and generate daily, weekly, monthly and yearly yield reports. For the negative yield, SAS will mark it as red color.
1. Create an object-oriented python script that can represent mathematical concepts and their properties. 2. Represent all numeric values exactly. 3. Provide a variety of formats to export or embed representations of the mathematical concepts.
RESULTS (RESULTS Evaluates Statistics Using Less Time and Space) is a lightweight, open-source statistical software package that provides similar functionality to other proprietary statistics packages.
The EconoMind is a utility that simulates the economy of a city, state, country, or planet at a specific level of technological development. It runs behind the scenes and provides supply, demand, and other information for games and other projects.
This project aims to provide opensource software implementing the Wedge algorithm for the estimation of parameters in dynamical systems models. This project also seeks to create tutorials and resources for those using Wedge.
This program generates customizable hyper-surfaces (multi-dimensional input and output) and samples data from them to be used further as benchmark for response surface modeling tasks or optimization algorithms.
The procedure of building the environment of Emacs + ESS for R is more complicated, so we exploit the automated installation software that combines R, Emacs and ESS to let the the public download and install.