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Portability Python Packages

Python packages with the GitHub topic portability. Sorted by monthly downloads, with stars and forks.
jameslamb
pydistcheck

Linter that finds portability issues in Python package distributions (wheels, sdists, conda packages).

12K 44 3
cTuningLabs
cmeta

Common Meta Framework (cMeta/cX): code, data, models, scripts, workflows, agents and notes as uniform artifacts behind one CLI and one Python API - for R&D that is collaborative, reproducible, reusable, scalable, portable and sustainable. Plain files, minimal dependencies, and context an AI agent can read.

4K 8 1
mlcommons
ck

Collective Knowledge (CK), Collective Mind (CM/CMX) and MLPerf automations: community-driven projects to learn how to run AI, ML, and other emerging workloads more efficiently and cost-effectively across diverse models, datasets, software, and hardware using MLPerf methodology and benchmarks.

3K 649 122
mlcommons
cmind

Collective Knowledge (CK), Collective Mind (CM/CMX) and MLPerf automations: community-driven projects to learn how to run AI, ML, and other emerging workloads more efficiently and cost-effectively across diverse models, datasets, software, and hardware using MLPerf methodology and benchmarks.

2K 649 122
mohitagw15856
memory-passport

One plain-text format for portable AI assistant memory: spec, validator, and converters for ChatGPT, Claude, Claude Code and Cursor

762 0 0
HubTou
pnu

The PNU project: a learning exercise to reimplement UNIX command-line tools in Python, forming a portable utilities collection

437 8 3
kwhi6693-web
agent-xplat

Detect cross-OS portability issues in AI agent workflows, skills, configs, and scripts across Windows, macOS, and Linux.

437 0 0
pioneerjeff-labs
packwright

Build your agent once. Carry it everywhere. Compiles portable agent packs for Pi, Codex, Claude Code, and Cursor.

373 6 2
varun29ankuS
mif-tools

MIF — Memory Interchange Format. A vendor-neutral JSON schema for portable AI agent memories. Convert between mem0, CrewAI, LangChain, and more.

244 5 0
HubTou
pnu-libpnu

Common utility functions for the PNU project

239 0 0
formlio
forml

ForML - A development framework and MLOps platform for the lifecycle management of data science projects

238 106 12
0xAshraFF
convoseed-agent

CSP-1: Portable Conversational Identity — A User-Owned Protocol for Preserving AI Relational Style Across Models

157 2 0
mlcommons
cmx4mlops

Collective Knowledge (CK), Collective Mind (CM/CMX) and MLPerf automations: community-driven projects to learn how to run AI, ML, and other emerging workloads more efficiently and cost-effectively across diverse models, datasets, software, and hardware using MLPerf methodology and benchmarks.

156 649 122
invisiblethreat
rfile

Manage R files more easily

116 0 0
mlcommons
cmx4mlperf

Collective Knowledge (CK), Collective Mind (CM/CMX) and MLPerf automations: community-driven projects to learn how to run AI, ML, and other emerging workloads more efficiently and cost-effectively across diverse models, datasets, software, and hardware using MLPerf methodology and benchmarks.

77 649 122
Moist-Cat
port-env

Fix broken virtual environments

71 0 0
reity
monoliths

Python tool for automatically wrapping a multi-module Python library into a single portable module file.

66 1 0
portable-ai-memory
portable-ai-memory

Python SDK for Portable AI Memory (PAM) — validate, convert, and work with PAM files

65 1 0
XwhyZ-WHYLD
ucs-parser

Open standard for portable AI identity across platforms

49 2 1
ctuning
ckdb

Collective Knowledge (CK), Collective Mind (CM/CMX) and MLPerf automations: community-driven projects to learn how to run AI, ML, and other emerging workloads more efficiently and cost-effectively across diverse models, datasets, software, and hardware using MLPerf methodology and benchmarks.

49 649 122
ylikx
fixed2free2

Three tools to deal with Fortran code: fixed to free source form converter, upper- to lowercase converter, formatter for variable declarations

49 49 9
ctuning
mldb

Collective Knowledge (CK), Collective Mind (CM/CMX) and MLPerf automations: community-driven projects to learn how to run AI, ML, and other emerging workloads more efficiently and cost-effectively across diverse models, datasets, software, and hardware using MLPerf methodology and benchmarks.

36 649 122
    • Original data from PyPI, GitHub, and OSV; downloads served through ClickHouse
    • Sources & methodology