Search Results for "matplotlib" - Page 4
Sort By:
Showing 117 open source projects for "matplotlib"
View related business solutions-
Point of Sale. Powerful and Simple.Vibe Retail is an all-in-one retail point-of-sale and operations platform built for single-store and multi-location retailers seeking to unify inventory, sales, staff and customer data from one mobile-friendly interface. The system lets you track inventory across locations and warehouses, handle item variations (size, color, material), manage purchase orders and supplier deliveries, print custom barcodes, and transfer stock between stores in real time. On the sales side, Vibe supports multiple payment types (cards, cash, checks, gift cards, EBT), layaway workflows, serial number tracking, delivery management, loyalty programs and branded receipts. Retailers can integrate with online platforms (such as Shopify and WooCommerce), sync in-store and online sales, access 40+ real-time reports on sales, inventory and performance, set up promotions and discounts, and print receipts from mobile devices.
-
Dominate AI Search ResultsAthenaHQ is a cutting-edge platform for Generative Engine Optimization (GEO), designed to help brands optimize their visibility and performance across AI-driven search platforms like ChatGPT, Google AI, and more.
-
1
visual debugger
image visual debugger
Visualize the in-memory images when you are debugging an OpenCV C/C++ program. It uses the GDB's Python interface, and works in multiply platforms. -
2
SciEnPlot
Data Plotting and Analysis for Science and Engineering
... - Implemented a 3d surface plot (GLSurface) based on OpenGL (ScienPlot v1.3.2 and above) - ColorMap surface, trisurface, Pie, Polar plots, and 3D height field, 3dBar, scatter plots (under developing), and more - Column by column plotting/calculation - LaTex commands enclosed by $ symbols can be used for the labels in Graph - Accept txt(Text) and csv(Comma separated values) formatted data - Save, copy, print Graph - Use spread sheets to display data - Textboard to organize the results - Graphs in a publishable quality - Source codes based on: Python Numpy Scipy Matplotlib WxPython Visvis etc. - Special functions - Drag and drop data files - Python console is back (since v1.3.3), capable of reusing column data - Debye and Guinier models for SANS / SAX data - More apps in our Web below -
3
Salstat2
statistical package designed for the end user, multiplatform
Salstat2 is an statistical package written in python and designed for the end user It has a graphical user interface and also it is scriptable, It's multiplatform, It has a graphic system inherited from matplotlib, It allows you to use different libraries like numpy - for numerical calculations, it also lets you to interact with Microsoft Excel (R) by using a com client under windows(R) platform and finally you can create your own dialogs by using the interactive shell or the script panel. -
4
WeatherMonitoringStation
WeatherMonitoringStation monitors environmental data
... * BeagleBone or similar (Angstrom v2011.12-core - Kernel 3.1.0+). * DB18B20 temperature sensor. * For the PC client, Python 3.3 or better is needed in addition to matplotlib. -
Jscrambler: Pioneering Client-Side Protection PlatformJscrambler is the leader in Client-Side Protection and Compliance. We were the first to merge advanced polymorphic JavaScript obfuscation with fine-grained third-party tag protection in a unified Client-Side Protection and Compliance Platform. Our integrated solution ensures a robust defense against current and emerging client-side cyber threats, data leaks, and IP theft, empowering software development and digital teams to innovate securely. With Jscrambler, businesses adopt a unified, future-proof client-side security policy all while achieving compliance with emerging security standards including PCI DSS v4.0. Trusted by digital leaders worldwide, Jscrambler gives businesses the freedom to innovate securely.
-
5
MatplotlibAsHtmlHelp
MatPlotLib documentation as Html Help
The MatPlotLib documentation is available from the their web site as a PDF file and online as html. I reformatted the PDF data as Html and emf and created a compressed html help file (dot chm). The hopeful outcome is a renewed interest in Html Help. -
6
Larch: Data Analysis for X-ray Spectra
Data Processing and Analysis for X-ray Spectroscopy and More
...Larch has been primarily developed for dealing with x-ray spectroscopic and scattering data, especially the kind of data collected at modern synchrotrons and x-ray sources. Larch is written in Python and relies heavily on the standard tools for scientific computing with Python (numpy, scipy, matplotlib, and h5py). -
7
pyL1min
General purpose norm-1 minimization solver in Python
...You need to install Python, NumPy/SciPy and CVXOPT ( FFTW enabled) to use this software. The test.py program demonstrates a simple application in Compressive Sensing and shows how to use l1min module. You need to install matplotlib to plot diagrams. Note: pyL1min can handle complex as well as real vectors. -
8
pyttools
Useful python scripts for windows automation
Basic requirements: - Python 2.7 http://www.python.org/download/releases/2.7/ - pywin32 https://sourceforge.net/projects/pywin32/ - pyHook http://pyhook.sourceforge.net - PIL https://pypi.python.org/pypi/PIL Debug requirements: - matplotlib https://pypi.python.org/pypi/matplotlib * pyparsing https://pypi.python.org/pypi/pyparsing/ + setuptools https://pypi.python.org/pypi/setuptools * dateutil https://pypi.python.org/pypi/python-dateutil -
9
scichoplot
Discontinued. Look for http://sourceforge.net/projects/scienplot/
... - LaTex commands enclosed by $ symbols can be used for the labels in Graph - Accept txt(Text) and csv(Comma separated values) format data - Save, copy, print Graph - Save and open a Work/Project file - Use spread sheets to display data - TextPad to organize the results - Python shell for Python users: No need to install Python interpreter. - Graphs generated by matplotlib in a publishable quality. - Source codes based on Python, numpy, scipy, matplotlib, wxPython, etc. - Source codes originated from SasView - Drag and drop files -
Fax.Cloud delivers encrypted, point-to-point faxing with guaranteed delivery and built-in audit trailsUnlike email or file-sharing tools, Fax.Cloud doesn’t bounce around the internet, exposed and vulnerable. It’s direct, encrypted, and verified. You get delivery confirmation, audit trails, and peace of mind, without the spam filters, metadata leaks, or cyber threats.
-
10
BriPy
A BRIC-seq data analysis package written in Python.
...In the future, it will provide several useful modules(e.g. calculating RPKM of each transcript from BAM file or ELAND output file). -Prerequisites To use BriPy package, you will need Python and the following extension packages. Python2.7 or higher NumPy SciPy Matplotlib -
11
ntcpcalc.py
python based ntcp calculation (LKB model, relative seriality model)
.../ntcpcalc.py userinp output would be as follows: NTCP=1.3% finished: - currently a number of different LKB (Lyman-Kutcher-Burman) model parameters and relative seriality models implemented - reads in differential DVH (dose-volume-histogram in ASCII format) - nine different LKB parameter sets for lung NTCP - two different LKB parameter sets for heart NTCP - three different relative-seriality-model parameter sets for lung NTCP - four different relative-seriality-model parameter sets for heart NTCP further to be implemented: -easy processing of an unlimited number of dose-volume datasets -implement plotting of dvh (comparing datasets and NTCP values) via matplotlib -add further biological models for different organs (e.g.TCP) -
12
WorldMap
Plot national-level historical data
Python package for plotting national-level historical data, 1946-2011. Uses cshapes, Basemap, matplotlib, and a few others. Intended for people without much experience using Python mapping tools. -
13
PyInstaller
Converts (packages) Python programs into stand-alone executables
...You'll never be required to look for tricks in wikis and apply custom modification to your files or your setup scripts. As an example, libraries like PyQt, Django or matplotlib are fully supported, without having to handle plugins or external data files manually. -
14
XYmath
XYmath is a GUI that creates, documents and explores y=f(x) curve fits
...After fitting, XYmath will find roots, minima, maxima, derivatives or integrals of the curve. It will generate source code that documents and evaluates the fit in python, FORTRAN or EXCEL. Configurable plots are created using matplotlib that are of publication quality. Click on XYWiki above for more information. If a recent version of pythonxy is installed, then XYmath can be installed with no additional dependencies. XYmath was developed with python 2.7 requires modules: matplotlib / pylab numexpr numpy PIL / Image scipy win32com / win32clipboard -
15
pyTRAX
ODEs solver with GUI
...The program runs on any Python-enabled platform, including GNU/Linux and MS\Windows OSs. To run the program you will need a python interpreter ver. 2.x and compatible versions of numpy, scipy and matplotlib libraries. See screenshot for usage reference. -
16
pyisocalc
Isotopic pattern calculator in python 2.x
This is an isotopic pattern calculator written in python. It depends on re, sys, numpy, operator, itertools, and matplotlib. -
17
PyParticles
PyParticles is an opensource particles simulation tool box entirely wr
PyParticles is an opensource particles simulation tool box entirely written in python. It support the most popular integrations methods and the most relevant forces model. It also offer a nice looking OpneGL interface or at your preference a Matplotlib based GUI. PyParticles as a forces models implements Gravity, spring, constant force and electrostatic and the user defined vector field force. As a integrations method it includes Euler, Midpoint, Runge Kutta, Störmer Verlet and Leap frog. -
18
FortGrapher
InLine Plot with Fortran
This is a Fortran Module that merges the performance of the computation of the Fortran with the power of a Python Package called Matplotlib plot the data computed by your fortran code. It allows you to divide you data into groups of datafiles and each group is stored on its own directory. It allows you to create different types of plotting files such as, PNG file for each datafile and PDF and MPEG files for each group of datafiles. It works with FORMATTED and UNFORMATTED fortran datafiles. ... -
19
pyShotDetect
(Auto-)Detect Video Scene Changes, output an edit list
...Given a .dv file automatically detect scene changes within that file (best performance on cuts and fade through/to black). Write a .kino file with each of the scenes for post-processing. Dependencies: (Python) openCV matplotlib Tkinter -
20
...Although written for this specific task it is easy to adopt for any experimental task which changes hardware parameters and waits for a specific condition before proceeding. The graphical interface (QT4) includes plotting (matplotlib), instrument configuration/monitoring and a program step creator. The communication with the hardware is independent of the GUI and any number of devices can be selected. To modify the code for any other task only the hardware interface needs to be redefined.
-
21
pygolem
Python API for the GOLEM Tokamak discharge database
This simple Python API aims to provide a simple and easy to understand access to the discharge database of the GOLEM Tokamak. The scipy, numpy and matplotlib Python libraries are used for data analysis and plotting. -
22
Data Productivity Toolkit
The Data Productivity Toolkit is a collection of linux command-line to
...Modeled after the general linux pipeline tools such as awk, grep, and sed, the kit provides powerful tools for selecting/combining data, performing statistics, and visualizing results. The tools are all written in python and in many instances provide a command-line API to basic python and numpy/scipy/matplotlib routines. -
23
Echoproc is a piece of scientific analysis software used to extract physical ice sheet characteristics from radio echograms from experiments like the Center for the Remote sensing of ice sheets (https://www.cresis.ku.edu/)
-
24
-
25
Fitta is a program for making and plotting statistical fits, simple and weighted fit, high quality plots thanks to the matplotlib library
