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Data Flow Python Packages

Python packages with the GitHub topic data-flow. Sorted by monthly downloads, with stars and forks.
erdewit
eventkit

Event-driven data pipelines

564K 148 32
Raman369AI
threadline-review

Threadline: Python code review, call graphs, and data flow visualization from source. Install: pip install --pre threadline-review

3K 1 0
wronai
code2logic

High-performance Python code flow analysis with NLP query processing - CFG, DFG, call graphs, and intelligent code queries

2K 7 1
kaelzhang
compton

An abstract data flow framework for quantitative trading

1K 0 0
SunBK201
scubatrace

Source-level code analysis toolkit for SAST, context engineering, and AI coding

840 34 2
offbit-ai
offbit-reflow

Actor-based DAG workflow execution engine for low-code applications and Agentic AI

756 22 3
intel
dffml

The easiest way to use Machine Learning. Mix and match underlying ML libraries and data set sources. Generate new datasets or modify existing ones with ease.

473 259 133
wronai
logic2code

High-performance Python code flow analysis with NLP query processing - CFG, DFG, call graphs, and intelligent code queries

249 7 1
intel
dffml-model-tensorflow

The easiest way to use Machine Learning. Mix and match underlying ML libraries and data set sources. Generate new datasets or modify existing ones with ease.

246 259 133
intel
dffml-config-yaml

The easiest way to use Machine Learning. Mix and match underlying ML libraries and data set sources. Generate new datasets or modify existing ones with ease.

240 259 133
intel
dffml-model-scratch

The easiest way to use Machine Learning. Mix and match underlying ML libraries and data set sources. Generate new datasets or modify existing ones with ease.

238 259 133
wronai
logic2test

High-performance Python code flow analysis with NLP query processing - CFG, DFG, call graphs, and intelligent code queries

234 7 1
ChrisCummins
programl

A Graph-based Program Representation for Data Flow Analysis and Compiler Optimizations

228 333 66
wronai
lolm

High-performance Python code flow analysis with NLP query processing - CFG, DFG, call graphs, and intelligent code queries

226 7 1
intel
dffml-service-http

The easiest way to use Machine Learning. Mix and match underlying ML libraries and data set sources. Generate new datasets or modify existing ones with ease.

223 259 133
intel
dffml-feature-git

The easiest way to use Machine Learning. Mix and match underlying ML libraries and data set sources. Generate new datasets or modify existing ones with ease.

211 259 133
intel
dffml-model-transformers

The easiest way to use Machine Learning. Mix and match underlying ML libraries and data set sources. Generate new datasets or modify existing ones with ease.

207 259 133
intel
dffml-source-mysql

The easiest way to use Machine Learning. Mix and match underlying ML libraries and data set sources. Generate new datasets or modify existing ones with ease.

192 259 133
RhythrosaLabs
streamlit-node-editor

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

190 6 1
intel
dffml-model-scikit

The easiest way to use Machine Learning. Mix and match underlying ML libraries and data set sources. Generate new datasets or modify existing ones with ease.

184 259 133
intel
shouldi

The easiest way to use Machine Learning. Mix and match underlying ML libraries and data set sources. Generate new datasets or modify existing ones with ease.

171 259 133
intel
dffml-feature-auth

The easiest way to use Machine Learning. Mix and match underlying ML libraries and data set sources. Generate new datasets or modify existing ones with ease.

162 259 133
intel
dffml-model-tensorflow-hub

The easiest way to use Machine Learning. Mix and match underlying ML libraries and data set sources. Generate new datasets or modify existing ones with ease.

127 259 133
ilyajob05
quickdataflow

QuickDataFlow library is designed for messaging between programs written in c++ and python

117 6 1
    • Original data from PyPI, GitHub, and OSV; downloads served through ClickHouse
    • Sources & methodology