The AT Protocol (🦋 Bluesky) SDK for Python 🐍
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Updated
Mar 30, 2026 - Python
The AT Protocol (🦋 Bluesky) SDK for Python 🐍
Difference-in-Differences causal inference in Python. Callaway-Sant'Anna, Synthetic DiD, Honest DiD, event studies. sklearn-like API, validated against R.
[DEPRECATED] Moved to microsoft/agent-governance-toolkit
Create Data Mesh. Use interoperable digital twins to create data interactions and build powerful real-time data products. This repository is a library for Decentralised Identity (DID) management with Iotics for applications in Python v3.8+.
Python library for validating, constructing, and representing DIDs and DID Documents
Cryptographic identity, trust chains, and E2E encrypted messaging for AI agents. pip install aip-identity
Attestix - Attestation Infrastructure for AI Agents. DID-based agent identity, W3C Verifiable Credentials, EU AI Act compliance layer, delegation chains, and reputation scoring. 47 MCP tools across 9 modules.
Verifiable Credentials and Decentralized Identity Features Offered by EveryCRED
Python library for DIDs on Factom
An implementation of did:peer:4
DeepEcon: Your one-stop Python package for econometric algorithms.
Punytag adds 2 columns to your Namebase or Bob Wallet export files, with tags and Unicode names. Sort your Handshake domain names easier with Unicode rendering (emojis, symbols, foreign characters), Punycode validation status, and basic categorization tags. Also includes a program to convert any list of Punycode to Unicode, or Unicode to Punycode
A curated list of awesome resources, tools, frameworks, and educational content related to Decentralized Identity (DID) and Self-Sovereign Identity (SSI). Decentralized Identity enables individuals to own, control, and share their digital identities securely without relying on centralized authorities.
Cool gadgets for Hyperledger Aries-style SSI agents.
Decentralized communication infrastructure for AI Agents — DID identity, federated discovery, E2E encryption, session management, and MCP-native integration.
Secure Digital Agent Protocol — HTTPS for AI agent communication. Cryptographic identity, mutual authentication, encrypted payloads, trust delegation, and audit trails for multi-provider agent ecosystems. Works with A2A, MCP, and any agent-to-agent protocol.
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