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visual-programming

Here are 71 public repositories matching this topic...

Flowfile

Flowfile is a visual ETL tool and Python library combining drag-and-drop workflows with Polars dataframes. Build data pipelines visually, define flows programmatically with a Polars-like API, and export to standalone Python code. Perfect for fast, intuitive data processing from development to production.

  • Updated Oct 2, 2026
  • Python

Drag-and-drop algorithmic trading bot builder for crypto. Features live charting, built-in risk management (kill-switches), and asynchronous execution via FastAPI and CCXT.

  • Updated Sep 26, 2026
  • Python

A local-first, graph-based AI workspace. Branch any conversation across a visual canvas instead of one scrolling thread, attach nodes that research the web, run Python, and chart results, then hand multi-step work to a budgeted, fully undoable agent. Works with local (Ollama, llama.cpp) and Cloud hosted models like GPT

  • Updated Oct 1, 2026
  • Python

A lightweight Python-node-based visual editor for building modular workflows and logic using connected nodes. Designed for flexibility and extensibility, Vibrante-Node enables developers to create and manage graph-based systems such as pipelines, tools, and automation workflows in an intuitive visual interface.

  • Updated Jun 13, 2026
  • Python

FROG is a fully open graphical dataflow language designed for secure, deterministic, and hardware-agnostic orchestration. With an open JSON expression, IR core, and multi-target compilers, FROG separates language, runtime, and IDE to create a true open foundation for graphical programming.

  • Updated Oct 2, 2026
  • Python

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.

  • Updated Sep 30, 2026
  • Python

TDPilot v2.4.0 — local-first TouchDesigner AI copilot with 114 MCP tools, truthful concept routing, deterministic visual techniques, transactional execution, live validation, bounded repair, and rollback.

  • Updated Jul 23, 2026
  • Python

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