Search Results for "python::module" - Page 2
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Showing 601 open source projects for "python::module"
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Process Street | Compliance Operations PlatformBring compliance and operations under one roof with an AI agent that automates workflows, policies that enforce rules, and a platform that delivers results.
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django-pgtrigger
Write Postgres triggers for your Django models
django-pgtrigger is a Django library for defining and managing PostgreSQL triggers directly in Python code. It allows developers to create database-level logic like automatic field updates, auditing, or validation without writing raw SQL. It’s ideal for teams that want stronger data integrity while keeping logic version-controlled. -
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Aerich
A database migrations tool for TortoiseORM, ready to production
Aerich is a lightweight database migration tool built for Tortoise ORM, an async ORM for Python. It handles schema evolution through versioned migrations, enabling developers to update and rollback database changes with ease. Designed for asyncio-based applications, Aerich is ideal for fast-moving Python projects that need simple migration control without heavy dependencies. -
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Full Stack FastAPI and PostgreSQL
Full stack, modern web application generator
Generate a backend and frontend stack using Python, including interactive API documentation. Production ready Python web server using Uvicorn and Gunicorn. Very high performance, on par with NodeJS and Go (thanks to Starlette and Pydantic). Great editor support. Completion everywhere. Less time debugging. Designed to be easy to use and learn. Less time reading docs. Minimize code duplication. -
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RAG API
ID-based RAG FastAPI: Integration with Langchain and PostgreSQL
rag_api is an open-source REST API for building Retrieval-Augmented Generation (RAG) systems using LLMs like GPT. It lets users index documents, search semantically, and retrieve relevant content for use in generative AI workflows. Designed for rapid prototyping, it is ideal for chatbot development, document assistants, and knowledge-based LLM apps. -
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Advanced Alchemy
A carefully crafted, thoroughly tested, optimized companion library
...It simplifies common ORM patterns such as CRUD, pagination, and async support while providing extensibility and best practices out of the box. It’s designed to accelerate backend development for modern Python web apps. -
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Graph Notebook
Library extending Jupyter notebooks to integrate with Apache TinkerPop
The graph notebook provides an easy way to interact with graph databases using Jupyter notebooks. Using this open-source Python package, you can connect to any graph database that supports the Apache TinkerPop, openCypher or the RDF SPARQL graph models. These databases could be running locally on your desktop or in the cloud. Graph databases can be used to explore a variety of use cases including knowledge graphs and identity graphs. This project includes many examples of Jupyter notebooks. ... -
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goose
A database migration tool. Supports SQL migrations and Go functions
goose is a database migration tool. Manage your database schema by creating incremental SQL changes or Go functions. Starting with v3.0.0 this project adds Go module support, but maintains backwards compatibility with older v2.x.y tags. Goose supports embedding SQL migrations, which means you'll need go1.16 and up. If using go1.15 or lower, then pin v3.0.1. We use timestamped migrations by default but recommend a hybrid approach of using timestamps in the development process and sequential versions in production. ... -
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pg_probackup
Backup and recovery manager for PostgreSQL
pg_probackup is an advanced backup and recovery tool for PostgreSQL developed by PostgresPro. It supports full, incremental, and differential backups with compression and encryption, and provides fine-grained control over backup and restore processes. It’s designed for enterprise-grade backup strategies in PostgreSQL environments. -
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SuperDuperDB
Integrate, train and manage any AI models and APIs with your database
Build and manage AI applications easily without needing to move your data to complex pipelines and specialized vector databases. Integrate AI and vector search directly with your database including real-time inference and model training. Just using Python. A single scalable deployment of all your AI models and APIs which is automatically kept up-to-date as new data is processed immediately. No need to introduce an additional database and duplicate your data to use vector search and build on top of it. SuperDuperDB enables vector search in your existing database. Integrate and combine models from Sklearn, PyTorch, HuggingFace with AI APIs such as OpenAI to build even the most complex AI applications and workflows. ... -
Software for managing apps and accounts | WebCatalogTurn websites into desktop apps with WebCatalog Desktop—your all-in-one tool to manage apps and accounts. Switch between multiple accounts, organize apps by workflow, and access a curated catalog of desktop apps for Mac and Windows.
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Finance Database
This is a database of 300.000+ symbols containing Equities, ETFs, etc.
As a private investor, the sheer amount of information that can be found on the internet is rather daunting. Trying to understand what type of companies or ETFs are available is incredibly challenging with there being millions of companies and derivatives available on the market. Sure, the most traded companies and ETFs can quickly be found simply because they are known to the public (for example, Microsoft, Tesla, S&P500 ETF or an All-World ETF). However, what else is out there is often... -
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pgsync
Postgres to Elasticsearch/OpenSearch sync
pgsync is a lightweight tool for syncing Postgres databases across environments, such as from production to staging. It allows selective table syncing, data masking, and parallel copying for fast and safe data migration. pgsync is ideal for developers who need realistic test data without exposing sensitive information. -
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pagodo
Automate Google Hacking Database scraping and searching
pagodo automates Google searching for potentially vulnerable web pages and applications on the Internet. It replaces manually performing Google dork searches with a web GUI browser. There are 2 parts. The first is ghdb_scraper.py that retrieves the latest Google dorks and the second portion is pagodo.py that leverages the information gathered by ghdb_scraper.py. This version of pagodo also supports native HTTP(S) and SOCKS5 application support, so no more wrapping it in a tool like... -
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PikaPython
An ultra-lightweight Python interpreter that runs with only 4KB of RAM
An ultra-lightweight Python interpreter that runs with only 4KB of RAM, and zero dependencies. It is ready to use out of the box without any configuration required and easy to extend with C. Similar projects: MicroPython, JerryScript. -
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INS
Inspiration database for Internet practitioners with no ads
INS is described as a kind of “inspiration database for internet workers” — a repository that collects and curates interesting websites, tools, links, or resources that might inspire developers, designers, or any knowledge workers. It aims to operate without ads, focusing purely on the content and resource quality, and leverages automation (e.g. GitHub Actions) to check link validity or site load speed, ensuring that listed resources remain accessible over time. For people in tech who... -
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ArcticDB
ArcticDB is a high performance, serverless DataFrame database
Built for the modern Python Data Science ecosystem, ArcticDB transforms your ability to handle complex real-world data with an Incredibly fast proven Petabyte scale. ArcticDB is designed with quant users in mind. It allows you to self-manage your data leveraging your preferred infrastructure. Giving you the keys to protect your most valuable asset. Supports large concurrent writes to many tables ensuring datasets can be onboarded fast and in the most convenient format. -
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dbatools
SQL Server automation and instance migrations have never been safer
Instance migrations and best practice implementations have never been safer, faster or freer. dbatools is PowerShell module that you may think of like a command-line SQL Server Management Studio. The project initially started out as just Start-SqlMigration.ps1, but has now grown into a collection of over 500 commands that help automate SQL Server tasks and encourage best practices. dbatools now works on PowerShell Core (aka PowerShell 6+). This means that you can run a large majority of our commands on Linux and macOS. ... -
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Django Postgres Extra
Bringing all of PostgreSQL's awesomeness to Django
django-postgres-extra is a Django extension that enhances PostgreSQL support by adding advanced features like native upserts, materialized view support, and better constraint handling. It improves developer productivity by exposing PostgreSQL-specific capabilities in a Django-friendly way while maintaining ORM consistency. -
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Bracket
Selfhosted tournament system
Bracket is an open-source tool that tracks and manages data access across your PostgreSQL database. It provides visibility into which parts of your codebase are accessing which tables and columns, enabling data governance, security auditing, and architectural insights. Bracket is particularly helpful for growing teams needing better observability in complex applications. -
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ERAlchemy
Entity Relation Diagrams generation tool
ERAlchemy is a tool that generates Entity-Relationship (ER) diagrams from databases or SQLAlchemy models and vice versa. It’s useful for database documentation, reverse engineering, and understanding complex schemas. ERAlchemy can export diagrams in formats like Graphviz and Mermaid, making it easy to include in reports or markdown files. -
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Parse Server
API server module for Node/Express
Build applications faster with object and file storage, user authentication, push notifications, dashboard and more out of the box. Our preferred channels of communication for help, issues and disscussion. Parse Server works with the Express web application framework. It can be added to existing web applications, or run by itself. Parse Server is continuously tested with the most recent releases of Node.js to ensure compatibility. We follow the Node.js Long Term Support plan and only test... -
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pgai
A suite of tools to develop RAG, semantic search, and other AI apps
pgai is a suite of PostgreSQL extensions developed by Timescale to empower developers in building AI applications directly within their databases. It integrates tools for vector storage, advanced indexing, and AI model interactions, facilitating the development of applications like semantic search and Retrieval-Augmented Generation (RAG) without leaving the SQL environment. -
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QuivrHQ
Opiniated RAG for integrating GenAI in your apps
Quivr is an open-source platform that leverages Retrieval-Augmented Generation (RAG) to integrate Generative AI into applications. It serves as a "second brain," enabling users to build powerful AI-driven assistants that can process and retrieve information efficiently. Quivr supports various large language models and vector stores, providing flexibility and customization for developers. -
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Valkey
A flexible distributed key-value datastore
...You can operate on data structures in-place with an expressive collection of commands. Valkey also supports native extensibility with built-in scripting support for Lua and supports module plugins to create new commands, data types, and more. -
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SQL Explorer
Easily share data across your company via SQL queries
SQL Explorer aims to make the flow of data between people fast, simple, and confusion-free. It is a Django-based application that you can add to an existing Django site, or use as a standalone business intelligence tool. Quickly write and share SQL queries in a simple, usable SQL editor, preview the results in the browser, share links, download CSV, JSON, or Excel files (and even expose queries as API endpoints, if desired), and keep the information flowing! Comes with support for multiple... -
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OpenViking
Context database designed specifically for AI Agents
OpenViking is an open-source context database engineered for efficient indexing and retrieval of large amounts of unstructured or semi-structured context data used by AI applications. It’s primarily designed to serve as a high-performance, scalable backend for storing app context, embeddings, conversational histories, and other textual artifacts that need rapid lookup and semantic search, which makes it especially useful for systems like chatbots or memory-augmented agents. The project is...
