Search Results for "python database" - Page 4
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Showing 2129 open source projects for "python database"
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Context for your AI agentsBuild data pipelines that feed your AI models and agents without managing infrastructure. Crawl any website, transform content, and push directly to your preferred vector store. Use 10,000+ tools for RAG applications, AI assistants, and real-time knowledge bases. Monitor site changes, trigger workflows on new data, and keep your AIs fed with fresh, structured information. Cloud-native, API-first, and free to start until you need to scale.
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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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Snoop Project
This is the most powerful software taking into account CIS location
Snoop is an open data intelligence tool (OSINT world). Snoop Project is one of the most promising OSINT tools for finding nicknames. This is the most powerful software taking into account the CIS location. Is your life slideshow? Ask Snoop. Snoop project is developed without taking into account the opinions of the NSA and their friends, that is, it is available to the average user. Snoop is a research work (own database / closed bugbounty) in the field of searching and processing public data... -
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Dbmate
A lightweight, framework-agnostic database migration tool
Dbmate is a database migration tool, to keep your database schema in sync across multiple developers and your production servers. It is a standalone command line tool, which can be used with Go, Node.js, Python, Ruby, PHP, or any other language or framework you are using to write database-backed applications. This is especially helpful if you are writing many services in different languages, and want to maintain some sanity with consistent development tools. ... -
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Qdrant
Vector Database for the next generation of AI applications
Qdrant is a vector similarity engine & vector database. It deploys as an API service providing search for the nearest high-dimensional vectors. With Qdrant, embeddings or neural network encoders can be turned into full-fledged applications for matching, searching, recommending, and much more! Provides the OpenAPI v3 specification to generate a client library in almost any programming language. -
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Salt
Automate the management and configuration of infrastructures at scale
Salt Bootstrap is a shell script that detects the target platform and selects the best installation method. (Supported Platforms) Your Salt master can manage itself, so a Salt minion is installed along with the Salt master. Before implementing Salt to manage any data center infrastructure it is important to understand a few things about Salt platform support including: What platforms will the Salt Master run on? What systems and infrastructure can be managed by a Salt Minion? Salt runs on... -
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Superduper
Superduper: Integrate AI models and machine learning workflows
...This allows developers to completely avoid implementing MLOps, ETL pipelines, model deployment, data migration, and synchronization. Using Superduper is simply "CAPE": Connect to your data, apply arbitrary AI to that data, package and reuse the application on arbitrary data, and execute AI-database queries and predictions on the resulting AI outputs and data. -
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MySQL MCP Server
A Model Context Protocol (MCP) server that enables secure interaction
The MySQL MCP Server enables secure interaction with MySQL databases, allowing AI assistants to list tables, read data, and execute SQL queries through a controlled interface. It is designed for integration with AI applications like Claude Desktop and should not be run as a standalone Python program. -
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PokeAPI
The Pokémon API
This is a full RESTful API linked to an extensive database detailing everything about the Pokémon main game series. We've covered everything from Pokémon to Berry Flavors. We have awesome documentation on how to use this API. It takes minutes to get started. This API will always be publicly available and will never require any extensive setup process to consume. Each time the build script is run, it will iterate over each table in the database, wipe it, and rewrite each row using the data... -
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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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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. Scale-out architecture... -
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django-prometheus
Export Django monitoring metrics for Prometheus.io
Export Django monitoring metrics for Prometheus.io. This library provides Prometheus metrics for Django-related operations. Prometheus uses Histogram based grouping for monitoring latencies. You can define custom buckets for latency, adding more buckets decreases performance but increases accuracy. SQLite, MySQL, and PostgreSQL databases can be monitored. Just replace the ENGINE property of your database, replacing django.db.backends with django_prometheus.db.backends. You may want to... -
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Kubernetes Operator Pythonic Framework
A Python framework to write Kubernetes operators in just a few lines
Kopf —Kubernetes Operator Pythonic Framework— is a framework and a library to make Kubernetes operator's development easier, just in a few lines of Python code. The main goal is to bring the Domain-Driven Design to the infrastructure level, with Kubernetes being an orchestrator/database of the domain objects (custom resources), and the operators containing the domain logic (with no or minimal infrastructure logic). The project was originally started as zalando-incubator/kopf in March 2019, and then forked as nolar/kopf in August 2020: but it is the same codebase, the same packages, the same developer(s). ... -
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OSXPhotos
Python app to work with pictures and associated metadata
OSXPhotos provides the ability to interact with and query Apple's Photos.app library on macOS and Linux. You can query the Photos library database — for example, file name, file path, and metadata such as keywords/tags, persons/faces, albums, etc. You can also easily export both the original and edited photos. OSXPhotos also works with iPhoto libraries though some features are available only for Photos. Limited support is also provided for exporting photos and metadata from iPhoto libraries.... -
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Pathway
Python ETL framework for stream processing, real-time analytics, LLM
...Pathway is especially well-suited for scenarios like financial analytics, IoT, fraud detection, and logistics, where high-velocity and continuously changing data is the norm. Unlike traditional batch processing frameworks, Pathway continuously updates the results of your data logic as new events arrive, functioning more like a database that reacts in real-time. It supports Python, integrates with modern data tools, and offers a deterministic dataflow model to ensure reproducibility and correctness. -
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dateutil
Useful extensions to the standard Python datetime features
The dateutil module provides powerful extensions to the standard date time module, available in Python. dateutil can be installed from PyPI using pip (note that the package name is different from the importable name). -
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VectorDB
A Python vector database you just need, no more, no less
vectordb is a Pythonic vector database offers a comprehensive suite of CRUD (Create, Read, Update, Delete) operations and robust scalability options, including sharding and replication. It's readily deployable in a variety of environments, from local to on-premise and cloud. vectordb delivers exactly what you need - no more, no less. It's a testament to effective Pythonic design without over-engineering, making it a lean yet powerful solution for all your needs. vectordb capitalizes on the... -
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Maltrail
Malicious traffic detection system
Maltrail is a malicious traffic detection system, utilizing publicly available (black)lists containing malicious and/or generally suspicious trails, along with static trails compiled from various AV reports and custom user-defined lists, where trail can be anything from domain name, URL, IP address (e.g. 185.130.5.231 for the known attacker) or HTTP User-Agent header value (e.g. sqlmap for automatic SQL injection and database takeover tool). Also, it uses (optional) advanced heuristic... -
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Modoboa
Mail hosting made simple
Modoboa is a mail hosting and management platform including a modern and simplified Web User Interface. It provides useful components such as an administration panel and webmail. Modoboa integrates with well known software such as Postfix or Dovecot. A SQL database (MySQL, PostgreSQL or SQLite) is used as a central point of communication between all components. Modoboa is developed with modularity in mind, expanding it is really easy. Actually, all current features are extensions. It is written in Python 3 and uses the Django, jQuery and Bootstrap frameworks. Follow the evolution of your server traffic thanks to a few builtin graphics: messages distribution per type and average size. ... -
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Piccolo
A fast, user friendly ORM and query builder which supports asyncio
Piccolo is a modern, fast, and type-safe ORM for Python, designed with developer ergonomics in mind. It provides a clean syntax for defining schemas and building queries while supporting both sync and async execution. With built-in admin tools and rich introspection, Piccolo is suitable for web apps, APIs, and small-to-medium scale backends that prioritize clarity and speed. -
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Patroni
A template for PostgreSQL high availability with Etcd, Consul, etc.
Patroni is a template for you to create your own customized, high-availability solution using Python and - for maximum accessibility - a distributed configuration store like ZooKeeper, etcd, Consul or Kubernetes. Database engineers, DBAs, DevOps engineers, and SREs who are looking to quickly deploy HA PostgreSQL in the datacenter-or anywhere else-will hopefully find it useful. We call Patroni a "template" because it is far from being a one-size-fits-all or plug-and-play replication system. ... -
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Tactical RMM
A remote monitoring & management tool, built with Django, Vue and Go
Tactical RMM is a remote monitoring & management tool, built with Django and Vue. It uses an agent written in golang and integrates with MeshCentral. Demo database resets every hour. A lot of features are disabled for obvious reasons due to the nature of this app. Teamviewer-like remote desktop control. Real-time remote shell. Remote file browser (download and upload files). Remote command and script execution (batch, powershell and python scripts). Event log viewer. Services management. Windows patch management. ... -
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Django Migration Linter
Detect backward incompatible migrations for your django project
django-migration-linter is a tool that statically analyzes Django migration files to detect potentially dangerous operations. It flags migrations that might lock tables, drop columns, or perform expensive schema changes, helping teams catch issues before deployment. This tool is ideal for teams practicing continuous delivery or working on high-availability systems. -
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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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Graphene-SQLAlchemy
Graphene SQLAlchemy integration
A SQLAlchemy integration for Graphene. For installing Graphene, just run this command in your shell. Graphene is a powerful Python library for building GraphQL APIs, and SQLAlchemy is a popular ORM (Object-Relational Mapping) tool for working with databases. When combined, graphene-sqlalchemy allows developers to quickly and easily create a GraphQL API that seamlessly interacts with a SQLAlchemy-managed database. It is fully compatible with SQLAlchemy 1.4 and 2.0. -
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Flask App Builder
Simple and rapid application development framework
Simple and rapid application development framework, built on top of Flask. includes detailed security, auto CRUD generation for your models, google charts and much more. Automatic permissions lookup, based on exposed methods. Inserts on the Database all the detailed permissions possible on your application. Public (no authentication needed) and Private permissions. Role-based permissions. Authentication support for OpenID, Database and LDAP. Support for self-user registration. Automatic,...
