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notion-py is a Python library that serves as an unofficial API client for interacting with Notion pages and databases. It functions as an object-relational mapper that translates Notion database tables and blocks into Python classes for structured data management.
The main features of jamalex/notion-py are: Notion Integrations, Block Hierarchy Management, Data Change Listeners, Notion Converters, Notion Block Parsers, Page Content Retrievals, Page Content Updates, Programmatic Content Structuring.
Projects with overlapping indexed features include: makenotion/notion-sdk-js — This project is a JavaScript client library and SDK for interacting with the Notion REST API. It provides typed… sooperset/mcp-atlassian — mcp-atlassian is a tool that connects Atlassian project data to AI assistants using the Model Context Protocol. It… datlechin/tablepro — TablePro is a cross-platform database management client designed for browsing, querying, and administering both SQL… spaceandtimefdn/sxt-python-sdk — The SxT-Python-SDK is a Python library and SQL database client designed for executing queries and managing database… shuzheng/zheng — Zheng is a Spring Boot microservices framework and enterprise J2EE development platform. It functions as a distributed… loco-rs/loco — Loco is a full-stack web framework for Rust designed to accelerate application development using a…
This project is a JavaScript client library and SDK for interacting with the Notion REST API. It provides typed methods and utilities to programmatically manage pages, databases, and workspace resources within a Notion environment. The SDK includes tools for implementing OAuth 2.0 authorization flows to grant third-party application access to workspace content. It features mechanisms for handling cursor-based pagination via asynchronous iterators and implements exponential back-off retries to manage rate limits and transient server errors. The library covers a broad range of capabilities, in
mcp-atlassian is a tool that connects Atlassian project data to AI assistants using the Model Context Protocol. It provides a standardized tool-calling interface that enables AI assistants to interact directly with project data and documentation. The project supports multi-tenant environments and diverse hosting scenarios, including cloud and on-premise deployments. It implements multiple authentication methods such as OAuth 2.0, API tokens, and personal access tokens, and can route traffic through configurable HTTP, HTTPS, or SOCKS proxies to meet corporate security requirements. Its capabi
TablePro is a cross-platform database management client designed for browsing, querying, and administering both SQL and NoSQL databases. It functions as a unified workspace that integrates a code-centric SQL editor with schema visualization tools, allowing developers to manage complex data models and execute queries across diverse database engines. The application distinguishes itself through an agentic AI integration layer that connects language models directly to database tools, enabling automated query generation, optimization, and error fixing with configurable approval gates. It features
The SxT-Python-SDK is a Python library and SQL database client designed for executing queries and managing database schemas via the Space and Time API. It serves as a programmatic interface for interacting with a decentralized data warehouse. The SDK provides tools for decentralized database management, including the ability to define and create table structures and establish views. It enables blockchain data analysis by allowing users to run SQL statements to extract and manipulate on-chain data. The library handles the full data lifecycle from authentication to export. It manages session t