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Cloud tools for web scraping and data extraction
Deploy pre-built tools that crawl websites, extract structured data, and feed your applications. Reliable web data without maintaining scrapers.
Automate 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.
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.
This application provides a web based visual browser for NetCDF files. The application provides a simple and friendly user interface for getting a quick overview of the data contained in the files.
Atera all-in-one platform IT management software with AI agents
Ideal for internal IT departments or managed service providers (MSPs)
Atera’s AI agents don’t just assist, they act. From detection to resolution, they handle incidents and requests instantly, taking your IT management from automated to autonomous.
Fandango, formerly and internally know as elcad. It is a python scripted 3d CAD application; the core is programmed on C++, and interface functions are exported to python to be used as building blocks for new commands.
pyLastFM graph is commandline tool for creating a nice looking graph time graph from Last.fm profile data. It uses the audioscrobbler.net XML interface and can create very high resolution output images.
PyPlotSuite aims to provide immediate, easy-to-use, GUI tools to display, analyze and create publication-quality 2D plots of 1D data series, images, 2D arrays. This project is based on (and would not exist without) pygtk, matplotlib and numpy.
A python package which aids in the analysis of ViEWER (http://www.webpages.uidaho.edu/~bdyre/viewer.htm) epoch logs. A wxPython GUI helps the user build a python script which uses the package to perform timeseries and spectral analyses.
GUESS, or the Graph Exploration System, is a system and language for visualizing and manipulating graph structures and creating new visualization applications.
DiaCanvas is a library for drawing diagrams. It is completely Model/View/Controller based and has a Visio (DIA) look. The package also contains a Python wrapper for the library.
Quick reference for switching between mathematical computation environments for computer algebra, numeric processing and data visualisation. Examples are Matlab, IDL, SPlus, and their open-source counterparts Octave, Scilab, Python+NumPy and R.
A 3D data visualization tool, specializing in the display of robotically collected point, range, and volumetric data. Provides a very flexible framework for different file formats and visualization parameters.
This project simulates a multi-agent system (swarm) behavior both graphically and not. The purpose of this project is to research the properties suggested in "stability analysis of swarms" V.Gazi & K.M.Passino. Using the vpython library for 3D modeling
pyVib is a Python-based molecular graphics visualizer. It allows visualizing vibrational modes (from latest gaussian fchk files), the related IR/VCD/Raman/ROA spectra, the GCM's (group coupling matrices) and ACP's (atomic contribution patterns).
Pyllar is a 3D plotting library for the Python programming language. It uses the Visualization Toolkit (VTK) and PyNum library provide high quality 3D plots for science and engineering.
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.
GRINEdit is a graph, relation, interaction, network editor.
The graph visualizer 'graphviz' is very popular but it is not interactive.
The project aims to make interactive graphviz.
Ocular is a spreadsheet written entirely in python. Cell contents are evaluated by python after any standard spreadsheet coordinates are parsed. This allows the full Monty from Python to be implemented in a visual environment.