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Ai Ethics Python Packages

Python packages with the GitHub topic ai-ethics. Sorted by monthly downloads, with stars and forks.
mlco2
codecarbon

Track emissions from Compute and recommend ways to reduce their impact on the environment.

135K 2K 334
tournesol-app
solidago

Free and open source code of the https://tournesol.app platform. Meet the community on Discord https://discord.gg/WvcSG55Bf3

688 382 53
OnourImpram
social-cc-plugin

Bilingual Claude Code handbook for social scientists, with citation-audited workflows and AI disclosure templates.

466 2 0
ChrisMeniw
meniw-protocol

Chris Meniw — AI Governance, the Meniw Doctrine & the Agentic Era. Open knowledge graph and essays.

371 0 0
SafeerAhmad211
avs-framework

Open-source statistical engine for auditing AI employment decision systems: adverse impact analysis under the Uniform Guidelines (29 CFR 1607), name-swap bias testing, and model drift detection

177 1 0
ethicsai
ethical-smart-grid

Reinforcement learning environment for learning ethical behaviours in a SmartGrid use-case.

131 3 0
lamduong0
human-ai-impact-bench

Open pre-release benchmark and deployment gate for conversational AI effects on human emotion, autonomy, cognition, trust, and social connection.

129 0 0
avarshvir
gita-py

gita-py is a lightweight Python package for programmatically accessing Bhagavad Gita chapter summaries and verses, letting developers fetch and validate spiritual content with simple functions.

111 1 3
OrchardHarmonics
orchard-kit

Complete alignment and safety architecture for autonomous AI agents. Membrane security, continuous trust verification, epistemic hygiene, emergence protocols, and defence tools. 30 years of cybernetic research — deployable today.

105 7 1
ahb-sjsu
moral-spectrum-analyzer

Moral Spectrum Analyzer — measures the moral coverage of AI content-evaluation, moderates where validated, escalates where not, and discovers missing dimensions. GTC 2026 prototype (Pillar A).

72 5 0
kasra-kakavand
faircheck

🔍 The fairness monitoring library for AI - audit, measure, and mitigate demographic bias in your ML models with one line of code

68 0 0
    • Original data from PyPI, GitHub, and OSV; downloads served through ClickHouse
    • Sources & methodology