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Visual Programming Python Packages

Python packages with the GitHub topic visual-programming. Sorted by monthly downloads, with stars and forks.
biolab
orange3

🍊 :bar_chart: :bulb: Orange: Interactive data analysis

43K 6K 1K
SakuraEntropia
entropia-riko

ComfyUI-style node-graph editor for building, training, and exporting PyTorch & TensorFlow/Keras models.

880 4 0
flowforge
flowforge-sdk

Connect, Collect, Build, and Scale with FlowFuse

741 401 90
jaimervq
all-nodes

A high-level nodegraph implemented in PySide2, easy to expand and easy to debug

673 37 6
ciaren-labs
ciaren

Open-source, local-first visual ETL and data pipeline builder. Drag-and-drop data prep and ML workflows, preview every step, schedule runs, and export clean pandas or Polars Python code. Self-hosted, no lock-in.

628 33 8
ciaren-labs
ciaren-client

Open-source, local-first visual ETL and data pipeline builder. Drag-and-drop data prep and ML workflows, preview every step, schedule runs, and export clean pandas or Polars Python code. Self-hosted, no lock-in.

615 33 8
dgk
django-business-logic

Visual DSL framework for django

278 235 40
RhythrosaLabs
streamlit-node-editor

ComfyUI/Blueprints-style node graph editor component for Streamlit — typed ports, drag-to-connect

190 6 1
zaina-ml
zaina-ml-forge

A visual-based graph node editor for training computer vision models.

144 425 50
nickosh
napflow

Local-first flow editor and engine — visual flows that live in git, compose into bigger flows, and run headless in CI

102 0 0
BardOfCodes
geolipi

GeoLIPI: DSL for Implicit Geometric Modelling

97 8 4
photon-niko
shaapes

A graphical shape based esolang

87 36 6
osom8979
cvp

Computer Vision Player

82 2 0
yuchenz93
synapchart

Visual pipeline builder for neuroscience data analysis - drag-and-drop EEG/LFP and spike-train pipelines. Open source, pip-installable.

77 0 0
cvlab-ai
cvlab

CV Lab - Computer Vision Laboratory - a rapid prototyping tool for computer vision algorithms

53 41 17
AlvarBer
persimmon

A visual dataflow programming language for sklearn

42 248 41
    • Original data from PyPI, GitHub, and OSV; downloads served through ClickHouse
    • Sources & methodology