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Showing 348 open source projects for "mac os linux"
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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... -
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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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OSV.dev
Open source vulnerability DB and triage service
osv.dev (Open Source Vulnerabilities) is Google’s open source platform and API for aggregating, managing, and analyzing vulnerability data across multiple ecosystems. It powers the osv.dev website, providing a unified, queryable database of vulnerabilities that map directly to open source packages and versions. The system hosts vulnerability data for ecosystems such as PyPI, npm, Go, Maven, and Debian, among others. The platform includes a web UI, API, and a Go-based dependency scanner... -
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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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ODMantic
Sync and Async ODM (Object Document Mapper) for MongoDB
Odmantic is an Object-Document Mapper (ODM) for MongoDB, designed for Python applications using Pydantic models, providing a seamless integration with type safety and validation. -
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mycli
CLI for MySQL with auto-completion and syntax highlighting
mycli is an enhanced command-line client for MySQL and MariaDB that features syntax highlighting and intelligent auto-completion for database queries. Built for developers and DBAs, it improves productivity with features like query history, table suggestions, and colored output. The tool is designed to be both powerful and user-friendly, making interactive database work more efficient and visually intuitive. -
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Enferno
Modern Flask framework optimized for AI-assisted development
Enferno is a framework for building developer-first cloud backends using PostgreSQL and TypeScript. It offers primitives for defining data models, APIs, and access rules directly in code, enabling quick iteration and deployment. Enferno is designed to accelerate SaaS and internal tool development by combining the benefits of traditional backends with developer ergonomics. -
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Procrastinate
PostgreSQL-based Task Queue for Python
Procrastinate is a powerful PostgreSQL-based task queue for Python, built to integrate seamlessly with Django and FastAPI. It allows you to schedule and execute background jobs using your existing database infrastructure, avoiding the need for additional queueing systems like Redis. Procrastinate is designed with simplicity, reliability, and observability in mind. -
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athenaSQL
SQL builder for AWS Athena, inspired by sparkSQL
athenaSQL is Athena SQL query builder, inspired by sparkSQL. It borrow some sparkSQL’s concept sparkSQL. It was initially designed to eliminate the need for hard-coding SQL queries as strings within Python scripts and as an alternative to any bespoke SQL query templating. However, it offers the flexibility to be used in various ways as needed. -
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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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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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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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ddia
Designing Data-Intensive Application
ddia is a Chinese translation and online reading project for “Designing Data-Intensive Applications.” It covers both the first edition and ongoing second-edition translation work. The repository organizes the book content into chapters about data systems, storage, encoding, replication, partitioning, transactions, distributed systems, consistency, and derived data. It is built for readers who want deep systems design material in Chinese with a structured web reading experience. The project... -
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sqlite-web
Web-based SQLite database browser written in Python
sqlite-web is a web-based SQLite database browser written in Python. It lets users open existing SQLite databases or create new ones through a browser interface. The tool can browse table data, inspect database structure, and run arbitrary SQL queries from a dedicated query tab. It also supports common editing actions, including inserting, updating, and deleting rows. Users can add or drop tables, columns, and indexes, and they can import or export data in JSON or CSV format. It can run from... -
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Ibis
Expressive analytics in Python at any scale
Ibis is a Python library to help you write expressive analytics at any scale, small to large. Its goal is to simplify analytical workflows and make you more productive. Ibis gives you the benefit of a programming language. You don't need to sacrifice maintainability to get to those insights! Ibis builds on top of and works with existing Python tools. Ibis provides a full-featured replacement for SQL SELECT queries, but expressed with Python code. All tables in Ibis are immutable. To select a... -
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Motor
The async Python driver for MongoDB and Tornado or asyncio
Motor is an asynchronous Python driver for MongoDB that enables developers to work with MongoDB using non-blocking I/O patterns, making it ideal for high-performance and scalable applications. Built on top of Python’s Tornado and asyncio frameworks, Motor lets you issue database operations without blocking the event loop, enabling concurrency in web servers, real-time systems, and microservices. It provides a familiar API surface similar to the official synchronous PyMongo driver, so you can... -
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Cinemagoer
Python package useful to retrieve and manage the data of IMDb
Cinemagoer (previously known as IMDbPY) is a Python package for retrieving and managing the data of the IMDb movie database about movies and people. You can use the search_movie method of the access object to search for movies with a given (or similar) title. Similarly, you can search for people and companies using the search_person and the search_company methods. Movie, person, and company objects have id attributes which -when fetched through the IMDb web server- store the IMDb id of the... -
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sqlit
A user friendly TUI for SQL databases
sqlit is a keyboard-first terminal UI that lets you connect to, browse, and query SQL databases quickly without relying on heavyweight GUI clients. It positions itself as a “lazygit-style” experience for databases, aiming for fast startup, intuitive navigation, and developer-friendly workflows directly inside your terminal. The tool supports a wide range of database providers, so you can use one interface across local databases, remote servers, and cloud-hosted instances rather than juggling... -
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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... -
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Firebird
A powerful, cross platform, SQL database system
Firebird RDBMS offers ANSI SQL features & runs on Linux, Windows & several Unix platforms. Features excellent concurrency & performance & powerful stored procedure & trigger language. More information and downloads at https://firebirdsql.org/, issue tracker is https://github.com/FirebirdSQL/firebird/issues -
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Database connection pool with support for lots of languages and databases.
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ExcelToDatabase
An automated tool for batch-importing Excel data into a database
ExcelToDatabase is an automated tool for batch-importing Excel data into a database. It supports 10 popular databases including MySQL, Oracle, SQL Server, PostgreSQL, and so on. Supported file formats include xls, xlsx, xlsm, xlsb, csv, txt, xml, json, and dbf. Its native user interface brings users a comfortable experience for simplified Excel import and export, making it easier than ever before. Whether you want one-click, batch, or personalized import/export, or use scheduled tasks for... -
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Cinemagoer
Python package to retrieve and manage data of the IMDb
Cinemagoer is a Python package useful to retrieve and manage the data of the IMDb movie database about movies, people, characters and companies. Platform-independent, it can retrieve data from both the IMDb's web server and a local copy of the whole db. -
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SQLObject
SQLObject is a Python ORM.
SQLObject is an object-relational mapper for Python. It supports MySQL, PostgreSQL, SQLite, Firebird, MaxDB/SapDB, MS SQL and Sybase. It supports Python versions back to 2.7.