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Frameworks Python Packages

Python packages with the GitHub topic frameworks. Sorted by monthly downloads, with stars and forks.
NVIDIA
framework-reproducibility

Providing reproducibility in deep learning frameworks

4K 431 42
RogerThomas
jero

An opinionated, msgspec-first ASGI micro-framework

2K 1 0
yasik
llm-patch-tool

Robust search/replace file editing for LLM-driven code changes.

1K 0 0
qinnovates
qtara

Rediscovering the meaning of mind-maps through Brain Computer Interface Security (BCIS)

491 4 0
itzmetanjim
py-positron

PyPositron is a python framework for building apps with HTML, CSS and Python.

490 41 2
NVIDIA
tensorflow-determinism

Providing reproducibility in deep learning frameworks

482 431 42
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
rannd1nt
phaethon

End-to-End Physics-Constrained Scientific Computing & Sci-ML Framework

336 4 0
openmas-ai
openmas

Easily Build Smart Multi-Agent Systems

282 5 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
msinamsina
ai-graph

A powerful and flexible AI Graph framework for building processing pipelines and state machines

231 8 3
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
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
saketjndl
sylo-sdk

Sylo is an open-source Python SDK and cloud platform that adds production-grade reliability to your existing AI agent pipelines — checkpointing, permission enforcement, human approval gates, and immutable audit logging — without replacing the frameworks you already use.

170 3 0
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
zranndts
unitflex

End-to-End Physics-Constrained Scientific Computing & Sci-ML Framework

161 4 0
KrishnanSG
pytsal

An easy to use low-code open-source python framework for Time Series analysis, visualization, forecasting along with AutoTS

153 40 7
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
    • Original data from PyPI, GitHub, and OSV; downloads served through ClickHouse
    • Sources & methodology