Open Source Python Scientific/Engineering Software - Page 60
Sort By:
Python Scientific/Engineering Software
View 2696 business solutionsBrowse free open source Python Scientific/Engineering Software and projects below. Use the toggles on the left to filter open source Python Scientific/Engineering Software by OS, license, language, programming language, and project status.
-
Our Free Plans just got better! | Auth0You asked, we delivered! Auth0 is excited to expand our Free and Paid plans to include more options so you can focus on building, deploying, and scaling applications without having to worry about your security. Auth0 now, thank yourself later.
-
Cloud tools for web scraping and data extractionAutomate web data collection with cloud tools that handle anti-bot measures, browser rendering, and data transformation out of the box. Extract content from any website, push to vector databases for RAG workflows, or pipe directly into your apps via API. Schedule runs, set up webhooks, and connect to your existing stack. Free tier available, then scale as you need to.
-
1
PyUltimateRobot
Controls any Robot in Python
Developed on Python to leverage state-of-the-art extensibility and easily integrated plugins Able to use low cost robots with the accuracy and dexterity of much more expensive robots, achieved in part by: a) Ability to drive movement by inexpensive DC gear head motors, including the inherent ability to specify movement by applied force rather than strict space/time control that steppers impose. b) Arms and linkages don't have to have super tight tolerances, because accuracy is achieved by tightly integrated visual feedback that's easy to program and low complexity processing. Ability to program easily with a GUI and visual interface that sees things from the robots' camera perspective. Flexible use of coordinate spaces that make programming arms with 6 or more degrees of freedom super easy. Got a bot arm with 13 linkages that can reach around corners? Easy. Simple arm with only 2 degrees of freedom, with one polar and one cartesian? Any arm geometry works. -
2
PyVE
PyVE is image analysis and visualization environment
PyVE is image analysis and Visualization Environment focused at clinical use. At the core of it there is a powerful viewer for displaying 3D datasets (MRI, PET, CT) based on VTK. It all comes precompiled allowing painless access to Python (2.x), the ITK toolkit for image analysis, numpy/scipy for numerical calculations, Qt and PyQt4 for the development Graphical User Interfaces. It is what you need for fast prototyping and development of more complex projects. -
3
Tk-based standalone graphing system and extensible graphing library with a huge range of 2d modes (maybe 3d soon?) written in Python (Python/Tk are 100% cross platform)
-
4
PyVision Computer Vision Toolkit
A Python computer vision library
PyVision is a object-oriented Computer Vision Toolkit for researchers that contains vision and machine learning algorithms and algorithm analysis and easily interfaces with scipy/numpy, PIL, opencv and other computer and machine learning libraries. -
The Original Buy Center Software.VAN sources private-party vehicles from over 20 platforms and provides all necessary tools to communicate with sellers and manage opportunities. Franchise and Independent dealers can boost their buy center strategies with our advanced tools and an experienced Acquisition Coaching™ team dedicated to your success.
-
5
PyWham
Python implementation of the Weighted Histogram Analysis Method (WHAM)
Latest version is 1.2, released Mar 12, 2016 PyWham is a flexible and fully customizable implementation of the Weighted Histogram Analysis Method (WHAM) in Python 2. PyWham has been carefully designed with flexibility in mind. Some of its features are: (1) any number of reaction coordinates, (2) any form of potential, (3) compatibility with Python syntax and Python math module and (4) support for user-defined functions. Knowledge of Python is not required. -
6
A Python interface to the Wordnet database of word meanings and lexical relationships. allows the user to type expressions such as N['dog'], hyponyms(N['dog'][0]), and closure(ADJ['red'], SYNONYM) to query the database for lexical relationships.
-
7
PyXPA is a Python interface to the XPA library (http://hea-www.harvard.edu/RD/xpa/ developed by the SAO/HEAD R&D Group (http://hea-www.harvard.edu/RD/)).
-
8
Python extension module based on C-XSC (C++ Language eXtensions for Scientific Computation) and the associated Toolbox. Provides a real and complex interval arithmetic with verified results for numerical applications.
-
9
PyZgoubi is an interface to the Zgoubi particle tracking code written in python. It aims to ease the use of Zgoubi by providing a simple interface to create beam line elements and particles, and to automate running and analysing of simulations.
-
AestheticsPro Medical Spa SoftwareAestheticsPro is the most complete Aesthetics Software on the market today. HIPAA Cloud Compliant with electronic charting, integrated POS, targeted marketing and results driven reporting; AestheticsPro delivers the tools you need to manage your medical spa business. It is our mission To Provide an All-in-One Cutting Edge Software to the Aesthetics Industry.
-
10
Pyanpha
A python program to use multiwavelength anomalous surface diffraction
pyanpha is a shell-based program, which applies the multi-wavelength anomalous diffraction technique to Surface Diffraction. It enables one to calculate the phases of the structure factors of crystal truncation rods when anomalous scatterers are present in the thin film. Functionality extends to standalone simulations. It was coined pyanpha which is an acronym for PYthon ANomalous PHAsing and it is written in python. -
11
A collection of modules and enduser tools designed to help design, test and use system models. While my research (hence, the examples) is focused on hydro-ecological systems, the program can be used on any system characterized by ODEs (and soon PDEs?)
-
12
Pyclamp
A Python package used to extract and analyse electrophysiological data
Pyclamp is Python package used to extract and analyse electrophysiological data. A graphical user interface has been developed to allow a user to run the pack- age without requiring any knowledge of Python code. Presently, Pyclamp is designed to perform very specific forms of analysis on evoked synaptic responses: Data analysis (under development) : This is a highly user-interactive en-vironment that can be used to discriminate synaptic events, obtain various measures of their kinetics and size, and output the results. Quantal analysis : This part of the package performs simple variance-mean analysis and Bayesian quantal analysis to estimate the quantal sizea dn number of release sites among other measures. -
13
Pydicom by examples
Basic and intermediate examples of DICOM library with Jupyter
Basic and intermediate examples to read, modify and write DICOM files with Python code using Jupyter - To install Jupyter - https://jupyter.org/install ====== All examples are based on Pydicom. An open source library - https://pydicom.github.io/ -
14
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.
-
15
This project is a complete cross-platform (Windows, Linux) framework for Evolutionary Computation in pure python. See the project site at http://pyevolve.sourceforge.net or the blog at http://pyevolve.sourceforge.net/wordpress
-
16
Pyfab
Python library for fab/lab control
Allows one to program fablab (factory and/or laboratory) in the same way as we program computer. Imagine commands like: "dim screw12 as new screw" or "mold(form_piston_081212, brass)" or ''gear(3)=lasercut(steel2,"biggear.gc")". This approach will let us program highly automated and self-deploying or even self-replicating factories. I am more engineer than programmer and just beginner in python. So it looks like community help will be needed :) -
17
-
18
Pylero is an open-source Python-based text generator.
-
19
Pymerase is a tool intended to generate a python object model, relational database, and an object-relational model connecting the two. However it has been extended to also output webpages and can be easily extended to output whatever else you might like.
-
20
Python Trust Metrics. Implementation of Ford-Faulkersson Maximum Flow algorithm and mod_virgule's Trust Metrics code, in python
-
21
Pyntrez
Command-line, Entrez, NCBI e-utilities client, written in Python
Command-line, Entrez, NCBI e-utilities client, written in Python; developed for Linux -
22
Pyntrez NCBI Database Client
Command-line, Entrez, NCBI e-utilities client, written in Python
Comman-line client to Entrez, e-utilities, written in Python, developed for Linux -
23
Pyphant is a framework for scientific data analysis. It features a flexible plugin architecture allowing for the application in many different fields. For the analysis a graph of processing steps is constructed, that can be applied via the cli as well.
-
24
Pysces
PySCeS is the Python Simulator of Cellular Systems
PySCeS is the Python Simulator of Cellular Systems. For a network of coupled reactions it does a stoichiometric matrix analysis, calculates the time course and steady state, and does a complete control analysis. -
25
Pysimony
A Pythonic Implementation of Parsimony Inference of Phylogeny
UPDATE: After some bug fixes, I've ditched Pysimony for Javamony: https://sourceforge.net/projects/javamony/ Given Python's beauty, I know that someday I will have to finish Pysimony. A student's first attempt at a phylogenetic inference program, written in the simplistic yet elegant Python. Pysimony reads a FASTA file (only ATGC accepted) specified as its only argument. Basic testing has shown that it is slow, inaccurate and most definitely inefficient. An unlikely-to-be-the-most-parsimonious tree is printed upon completion in basic Newick tree format. As all parts of the program are the original work of a beginner programmer, this may represent one of the worst approaches to solving the phylogenetic problem. I have clearly avoided object-oriented programming. Nevertheless, I distribute this imagining it might someday be slightly educational or at least provide a laugh at the pathetic attempt it makes to reinvent the wheel
