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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.
Pydusa is a package for parallel programming using Python. It contains a module for doing MPI programming in Python. We have added parallel solver packages such as Parallel SuperLU for solving sparse linear systems.
Brian is a new simulator for spiking neural networks available on almost all platforms. The motivation for this project is that a simulator should not only save the time of processors, but also the time of scientists.
A small simulator for Mendelian genetics, genetic drift, natural selection and random mutations, built on matplotlib and wxpython. A graph will be generated that traces the distribution of genotypes at successive generations.
"Blue Planet" is a research project simulating the behaviour and darwinian evolution of unicellular lifeforms, each controlled by its own genetic program. Moreover, "Blue Planet Inhabitants" are suited for swarm intelligence and swarm research.
PGAF provides a framework tuned, user-specific genetic algorithms by handling I/O, UI, and parallelism. It is designed for optimizing functions that take a "very long time" to evaluate.
Manage what you buy and how you buy it with Order.co, so you have control over your time and money spent.
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MBDyn_sim_suite is a collection of free pre&post-processing tools and simulation models for the open-source multi-body analysis software MBDyn forming a general purpose simulation environment for structural dynamics with an emphasis on wind turbines.
CDNsim is a GNU/LINUX simulation tool for CDNs, written in C++ (core) and python (GUI wizard). It models: redirection policies, cache policies, TCP/IP, batch simulations, statistics extraction and more. CDNsim is uses the OMNet++ library
OpenMie aims to solve electromagnetic scattering problems via the Mie method to provide a benchmark against which to test more general scattering codes. Complete field solutions are given for a number of practical geometries.
PyDocumentary, is a class file that allows for a straight forward movement of information in a python simulation to a latex report. It is not a form of literate programming.
Henry is an interface for Taylor 1.4.3 package (A. Jorba & M. Zou) and was written for master thesis to compute N-body problems (in Poincare variables) and MEGNO stability factor. Work is supported by Krzysztof Gozdziewski.
PyMaTi is a simple and easy to use GUI for numerical and scientific computing in Python. It surrounds well know packages NumPy and Matplotlib and provides possibility to immediately play with numerical python from intuitive user interface.
Free HyperSim is a generic simulator (simulink like) platform adapted for shared projects. Components (icons) are plugins (python code, batch or executable files) which can be shared between users.
TransimsGui and makeTransims allow users to automatically generate triptables, timetables and vehicle files, edit individual control files, create batch files for transims feedback processes, run exe-control file pairs and run batch files.
QMcBeaver is an object-oriented program to perform Quantum Monte Carlo calculations on atoms and molecules. It is designed to be easy to modify, allowing new ideas to be quickly implemented.
A 3D robots simulator written in python. Uses ODE physics and OpenGL/Inventor graphics. A differential wheels robot is provided. There is no user interface but the code is small and is intended to be easily extended for your simulations.
The Model Interaction Environment for Neuroscience provides tools for development, searching, editing, execution, and visualization of biophysical models, abstract mathematical models, and experimental protocols used in neuroscience research.
PyPhys is a set of physical quantity classes written in Python. The classes represent physical quantities (like length, pressure, energy, etc.) that can be assigned and extracted in many different units.