Open Source Python Data Visualization Software for Mac - Page 4

GTO is a file format whose primary usage is storage of static geometric data, though it can be used to store just about anything.

Gaphor is a UML modeling environment written in Python. Gaphor is small and very extensible. The repository is located at http://github.com/gaphor/gaphor.

GemGIS is a Python-based, open-source geographic information processing library. It is capable of preprocessing spatial data such as vector data (shape files, geojson files, geopackages,…), raster data (tif, png,…), data obtained from online services (WCS, WMS, WFS) or XML/KML files (soon). Preprocessed data can be stored in a dedicated Data Class to be passed to the geomodeling package GemPy in order to accelerate the model-building process. Postprocessing of model results will allow export from GemPy to geoinformation systems such as QGIS and ArcGIS or to Google Earth for further use.

Geomatrix, collection of C/C++ libraries to be used for symbolic description of n-dimensional geometric models. Operates internally with a representation that constructs complex objects based on primitives, allowing loss-less modifcation of models.

Gimini is a mindmap creation tool in Python + wxPython.

Gnupylot is a GUI for gnuplot (the widely used multi-OS plotting utility). It's written in Python using PyQt4 libraries. With Gnupylot you can save your plots (even the datasets). It's still in Alpha stage.

This object-oriented python module converts 3D VRML models into Collada and integrates it in Google Earth (GE) through the Keyhole Markup Language (KML). It enables the visualisation of large scale aerial/satellite images in the Geo Browser.

Graphite is a Python graphing package currently under development which uses either SPING or PIDDLE (http://piddle.sourceforge.net). It produces PS, PDF, SVG output, bitmap, TK or wXpython with optional modules.

Guanxi is a robust analysis and simulation application for Social Network Analysts. Guanxi allows researchers in the field to create, import, and export an endless array of networks, analyze their structure, and run custom dynamics over them.

GyVe (GalaxY ViEwer) is a visualization program for understanding the distribution of galaxies and clusters of galaxies.

This is a python package that allows one to easily create timelines in object-oriented python which later renders to HTML.

HyperTools is a library for visualizing and manipulating high-dimensional data in Python. It is built on top of matplotlib (for plotting), seaborn (for plot styling), and scikit-learn (for data manipulation). Functions for plotting high-dimensional datasets in 2/3D. Static and animated plots. Simple API for customizing plot styles. Set of powerful data manipulation tools including hyperalignment, k-means clustering, normalizing and more. Support for lists of Numpy arrays, Pandas dataframes, text or (mixed) lists. Applying topic models and other text vectorization methods to text data. HyperTools is designed to facilitate dimensionality reduction-based visual explorations of high-dimensional data. The basic pipeline is to feed in a high-dimensional dataset (or a series of high-dimensional datasets) and, in a single function call, reduce the dimensionality of the dataset(s) and create a plot.

Analysis software for Nbody/SPH or SPH simulations (e.g. performed with Gadget II). See http://sourceforge.net/apps/wordpress/hyplot/about and http://sourceforge.net/apps/trac/hyplot/wiki for more information.

math lib for .NET. n-dim arrays, complex numbers, linear algebra, FFT, sorting, cells- and logical arrays as well as 3D plotting classes help developing algorithms on every platform supporting .NET. Sources from SVN, binaries: http://ilnumerics.net

IPyPlot is a small python package offering fast and efficient plotting of images inside Python Notebooks. It's using IPython with HTML for faster, richer and more interactive way of displaying big numbers of images.

IVuPy is a set of Python bindings for the Coin3D C++ class libraries which serve to create software for 3D visualization in science and engineering. IVuPy aims to be a solid basis for large Python programs for 3D visualization and data analysis.

The enhanced Python fork of JILL, Julia Installer for Linux (and every other platform), Light.

Jupytab allows you to explore in Tableau data which is generated dynamically by a Jupyter Notebook. You can thus create Tableau data sources in a very flexible way using all the power of Python. This is achieved by having Tableau access data through a web server created by Jupytab.

A framework for visualization.

KALE (Kubeflow Automated pipeLines Engine) is a project that aims at simplifying the Data Science experience of deploying Kubeflow Pipelines workflows. Kubeflow is a great platform for orchestrating complex workflows on top Kubernetes and Kubeflow Pipeline provides the mean to create reusable components that can be executed as part of workflows. The self-service nature of Kubeflow make it extremely appealing for Data Science use, at it provides an easy access to advanced distributed jobs orchestration, re-usability of components, Jupyter Notebooks, rich UIs and more. Still, developing and maintaining Kubeflow workflows can be hard for data scientists, who may not be experts in working orchestration platforms and related SDKs. Additionally, data science often involve processes of data exploration, iterative modelling and interactive environments (mostly Jupyter notebook).

Karesansui is an open-source virtualization management application made in Japan. It's smart graphical user interface lowers your management cost, and brings a total management/audit solution for both physical and virtual servers. Full featured RESTful interface allows customizing and integration with other management/billing systems.

Krisk brings Echarts to the Python Data Science Ecosystem, and helpful tools for high-level statistical interactive visualization.

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.

MSCViewer is a tool intended for debugging of control flows in concurrent, distributed systems. The tool loads logs generated by various entities in the system and visualize a sequence diagram chart for events and interactions. The diagram is fully interactive: entity can be added/removed from the diagram and shuffled; events can be filtered, searched, highlighted and annotated with comments. MSCViewer features integration with a Python interpreter which allows writing Python scripts interacting with the model. This powerful feature can be used to automate validatation of distributed control flows, integrate with graphing infrastructure, etc.

Artificial plants laboratory.