PyFlow is a general purpose visual scripting framework for python

Overview

Overview

PyFlow is a general purpose visual scripting framework for python.

State

Base structure of program implemented, such things as packages discovery, input customization, exporters, base classes for entities and tools.

You can completely remove nodes and tools that ships by default and start your own library from scratch.

You can evaluate programs without running user interface.

We have simple CLI interface and setup.py script.

Expectedly, we faced problems with our runtime execution model, it is good for certain types of tasks despite it is slow. Also, complicated flow control requires cycles handling.

For example current for loop node implementation doesn't work well with any kind of delay stuff in it's body. Of course it can be solved by adding more logic to loop processing, but we don't know exactly how to make it efficient yet.

Road map

We will add new types of graphs (undirected graphs, trees) and algorithms to work with those structures.

Code generation is probably the future of PyFlow.

We are going to implement more building blocks. Functions - which unlike subgraphs will have single definition and multiple entry points across the program. Objects - very important concept of programming in general, object will have own methods, access levels and variables. Events and delegates - similar to ue4.

Application presets and api for writing own presets. Templates like in any IDE (shader, command line tool, software installer, etc.).

Documentation updates.

User interface improvements and new tools to enhance user experience.

We want to have most python standard library wrapped into a nodes!

Installation

Manual

  1. Clone or download repository.

  2. Install requirements for your use case.

    requirement lists can be found under PyFlow/requirements

  3. To run the program in standalone mode, run pyflow.py. It can be found in the root folder of repository.

Or using pip

Latest development version. Contains latest features

pip install git+https://github.com/wonderworks-software/[email protected]

Latest release version

pip install git+https://github.com/wonderworks-software/[email protected]

After package is installed, you can invoke pyflow.exe on windows or pyflow on unix OS. Program is located inside PATH/TO/PYTHON/Scripts.

Features overview

  • Modular

    Add own node sets, pins, shelf tools, dock tools, preferences widgets, data exporters/importers

  • Easy integration

    PyFlow is a normal python program. It can run under any python environment

  • Python3 and 2 support

  • Logic and UI are separated

    Main logic elements (Node and Pin) has non gui representation, so programs can be evaluated without GUI

  • Subgraphs

    Collapse parts of graphs into subgraphs

    collapseToCompound

  • Watch what is going on

    collapseToCompound

  • Expose properties from subgraphs

    Any node can share it's properties with owning sub graph node

    collapseToCompound

  • Subgraphs import/export

    Share subgraphs with others

    compoundIO

    If compound node was exported to some package, it will appear in node box

    compoundIO

  • Python node

    Write whatever code directly into a node

    pythonNode

  • Python node import/export

    Share python nodes with others

    pythonNode

    If python node was exported to some package, it will appear in node box

    pythonNode

  • Fast node generation from functions

    Single decorator to expose node from function

    pythonNode pythonNode

  • Package loading from arbitrary locations

    Packages can be loaded from provided list of directories. It can be your development folder or folder in network drive inside your studio

  • Graph commenting

    • Comment node

      commentNode

    • Sticky node

      stickyNode

  • Custom input system

    If you got used to specific keymap of your software of choice, you can easily remap PyFlow input actions

    input

  • Drop on wire

    Automatically сonnect the node by dragging it onto the wire

    input

  • Photoshop-like history

    Easy to use powerful undo system

    history

    By a single line call

    historyApi

  • Property view

    Modify node and pins attributes using property panels

    historyApi

  • Variables

    Save arbitrary data into a variables

    historyApi

  • Editable shareable themes

    Create and share themes with others

    historyApi

  • Data importers/exporters

    Editor data can be exported/imported to/from arbitrary format

  • Command line interface

    cmdHelp

    Exported programs can be edited and evaluated from command line without gui

    cmdAddition cmdHelp

  • Convenient wires interaction

    wiresConnect

  • Wire styles

    wiresConnect

    wiresConnect

    wiresConnect

  • Node deprecation flag

    Tell users to update their programs

    deprecated deprecated

  • Widgets library

    • Sliders

      Custom Houdini style sliders, value draggers, ramp widgets

      historyApi

    • Properties framework

      Custom widgets for property panels. Collapsible categories, search field

    • Input framework

      Custom widgets for mouse, keyboard capture

  • Plugin wizards framework

    Generate package template to start development. Or create own wizard for your module

  • Easy configuration files framework

    While adding own modules you probably want to have some configuration data. We provide easy to use api for this

And more..

Getting Started

We have documentation

Contributing

See CONTRIBUTING.md

Versioning

We use a semantic versioning policy.

Authors

See also the list of contributors who participated in this project.

Discussion

Join us to our discord channel and ask anything related to project!

These data visualizations were created for my introductory computer science course using Python

Homework 2: Matplotlib and Data Visualization Overview These data visualizations were created for my introductory computer science course using Python

Sophia Huang 12 Oct 20, 2022
A Bokeh project developed for learning and teaching Bokeh interactive plotting!

Bokeh-Python-Visualization A Bokeh project developed for learning and teaching Bokeh interactive plotting! See my medium blog posts about making bokeh

Will Koehrsen 350 Dec 05, 2022
coordinate to draw the nimbus logo on the graffitiwall

This is a community effort to draw the nimbus logo on beaconcha.in's graffitiwall. get started clone repo with git clone https://github.com/tennisbowl

4 Apr 04, 2022
Manim is an animation engine for explanatory math videos.

A community-maintained Python framework for creating mathematical animations.

12.4k Dec 30, 2022
nptsne is a numpy compatible python binary package that offers a number of APIs for fast tSNE calculation.

nptsne nptsne is a numpy compatible python binary package that offers a number of APIs for fast tSNE calculation and HSNE modelling. For more detail s

Biomedical Visual Analytics Unit LUMC - TU Delft 29 Jul 05, 2022
A tool for creating SVG timelines from simple JSON input.

A tool for creating SVG timelines from simple JSON input.

Jason Reisman 432 Dec 30, 2022
Quickly and accurately render even the largest data.

Turn even the largest data into images, accurately Build Status Coverage Latest dev release Latest release Docs Support What is it? Datashader is a da

HoloViz 2.9k Dec 28, 2022
This is a Cross-Platform Plot Manager for Chia Plotting that is simple, easy-to-use, and reliable.

Swar's Chia Plot Manager A plot manager for Chia plotting: https://www.chia.net/ Development Version: v0.0.1 This is a cross-platform Chia Plot Manage

Swar Patel 1.3k Dec 13, 2022
Draw tree diagrams from indented text input

Draw tree diagrams This repository contains two very different scripts to produce hierarchical tree diagrams like this one: $ ./classtree.py collectio

Luciano Ramalho 8 Dec 14, 2022
Voilà, install macOS on ANY Computer! This is really and magic easiest way!

OSX-PROXMOX - Run macOS on ANY Computer - AMD & Intel Install Proxmox VE v7.02 - Next, Next & Finish (NNF). Open Proxmox Web Console - Datacenter N

Gabriel Luchina 654 Jan 09, 2023
An open-source plotting library for statistical data.

Lets-Plot Lets-Plot is an open-source plotting library for statistical data. It is implemented using the Kotlin programming language. The design of Le

JetBrains 820 Jan 06, 2023
Generate visualizations of GitHub user and repository statistics using GitHub Actions.

GitHub Stats Visualization Generate visualizations of GitHub user and repository statistics using GitHub Actions. This project is currently a work-in-

Aditya Thakekar 1 Jan 11, 2022
Python library that makes it easy for data scientists to create charts.

Chartify Chartify is a Python library that makes it easy for data scientists to create charts. Why use Chartify? Consistent input data format: Spend l

Spotify 3.2k Jan 01, 2023
Gaphas is the diagramming widget library for Python.

Gaphas Gaphas is the diagramming widget library for Python. Gaphas is a library that provides the user interface component (widget) for drawing diagra

Gaphor 144 Dec 14, 2022
A curated list of awesome Dash (plotly) resources

Awesome Dash A curated list of awesome Dash (plotly) resources Dash is a productive Python framework for building web applications. Written on top of

Luke Singham 1.7k Dec 26, 2022
Gallery of applications built using bqplot and widget libraries like ipywidgets, ipydatagrid etc.

bqplot Gallery This is a gallery of bqplot examples. View the gallery at https://bqplot.github.io/bqplot-gallery. Contributing new examples Clone this

8 Aug 23, 2022
This is a small repository for me to implement my simply Data Visualisation skills through Python.

Data Visualisations This is a small repository for me to implement my simply Data Visualisation skills through Python. Steam Population Chart from 10/

9 Dec 31, 2021
Active Transport Analytics Model (ATAM) is a new strategic transport modelling and data visualization framework for Active Transport as well as emerging micro-mobility modes

{ATAM} Active Transport Analytics Model Active Transport Analytics Model (“ATAM”) is a new strategic transport modelling and data visualization framew

Peter Stephan 0 Jan 12, 2022
Curvipy - The Python package for visualizing curves and linear transformations in a super simple way

Curvipy - The Python package for visualizing curves and linear transformations in a super simple way

Dylan Tintenfich 55 Dec 28, 2022
Param: Make your Python code clearer and more reliable by declaring Parameters

Param Param is a library providing Parameters: Python attributes extended to have features such as type and range checking, dynamically generated valu

HoloViz 304 Jan 07, 2023