Open Source Python Database Software for Linux
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Python Database Software for Linux
View 89 business solutionsBrowse free open source Python Database Software for Linux and projects below. Use the toggles on the left to filter open source Python Database Software for Linux by OS, license, language, programming language, and project status.
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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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LibreOffice
A free and powerful office suite
LibreOffice is a free and powerful office suite, and a successor to OpenOffice. Its clean interface and feature-rich tools help you unleash your creativity and enhance your productivity. LibreOffice is Free and Open Source Software (FOSS) – development is open to new talent and new ideas, and our software is tested and used daily by a large and devoted user community. Your documents will look professional and clean, regardless of their purpose: a letter, a master thesis, a brochure, financial reports, marketing presentations, technical drawings and diagrams. LibreOffice makes your work look great while you focus on the content, thanks to its powerful styles system and structuring tools. LibreOffice is compatible with a wide range of document formats such as Microsoft® Word (.doc, .docx), Excel (.xls, .xlsx), PowerPoint (.ppt, .pptx) and Publisher. But LibreOffice goes much further with its native support for a modern and open standard (OpenDocument Format). -
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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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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 object. If you know the IMDb id of a movie, you can use the get_movie method to retrieve its data. It’s possible to retrieve the list of top 250 and bottom 100 movies. As on the IMDb site, each TV series and also each of a TV series’ episodes is treated as a regular title, just like a movie. The episodes of a series can be fetched using the “episodes” infoset. -
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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ECDICT
Free English to Chinese Dictionary Database
ECDICT is a comprehensive English–Chinese dictionary dataset packaged for developers who need an offline, queryable lexicon for applications, NLP, or educational tools. It aggregates headwords, phonetics, parts of speech, translations, and example information into formats that are easy to integrate. The project provides multiple distribution forms—commonly SQLite/CSV/StarDict-style files—so you can choose the right storage and query approach for your app. Because it’s offline and local, it avoids network latency and licensing hurdles that come with calling proprietary dictionary APIs. The dataset is large enough to support general-purpose lookup while being manageable to ship with desktop or mobile apps. For builders, it’s a pragmatic foundation for dictionary apps, pop-up translators, flashcard tools, or NLP preprocessing. -
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Grafana
Leading open-source visualization and observability platform
Grafana OSS is the leading open-source platform for visualization and observability. It enables teams to query, visualize, alert on, and explore telemetry data from multiple sources in a single interface. With support for 100+ data source plugins—including Prometheus, Loki, Elasticsearch, InfluxDB, SQL/NoSQL databases, and OpenTelemetry—Grafana helps teams correlate metrics, logs, and traces across applications and infrastructure. Users can build interactive dashboards with rich visualizations, template variables, and reusable panels to monitor systems and troubleshoot issues in real time. Grafana includes capabilities such as ad hoc data exploration, alerting, annotations, and flexible query support. Its extensible plugin ecosystem integrates with cloud platforms, databases, and developer tools—allowing teams to build observability workflows without vendor lock-in. The easiest way to get started with Grafana is with Grafana Cloud, our fully managed, full-stack observability platform. -
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CodeChecker
CodeChecker is an analyzer tooling, defect database
CodeChecker is a static analysis infrastructure built on the LLVM/Clang Static Analyzer toolchain, replacing scan-build in a Linux or macOS (OS X) development environment. Executes Clang-Tidy and Clang Static Analyzer with Cross-Translation Unit analysis, Statistical Analysis (when checkers are available). Creates the JSON compilation database by wiretapping any build process (e.g., CodeChecker log -b "make"). Automatically analyzes GCC cross-compiled projects: detecting GCC or Clang compiler configuration and forming the corresponding clang analyzer invocations. Incremental analysis: Only the changed files and its dependencies need to be reanalyzed. False positive suppression with a possibility to add review comments. Result visualization in command line or in static HTML. Web application for viewing discovered code defects with a streamlined, easy experience (with PostgreSQL, or SQLite backend). -
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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 proxychains4 if you need proxy support. You can specify multiple proxies to use in a round-robin fashion by providing a comma-separated string of proxies using the -p switch. To start off, pagodo.py needs a list of all the current Google dorks. The repo contains a dorks/ directory with the current dorks when the ghdb_scraper.py was last run. It's advised to run ghdb_scraper.py to get the freshest data before running pagodo.py. -
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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 subset of a table's columns, or to add new columns, you must produce a new table by means of a projection. If you pass a function instead of a string or Ibis expression in any projection context, it will be invoked with the "parent" table as its argument. This can help significantly when [composing complex operations. -
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SpeechRecognition
Speech recognition module for Python
Library for performing speech recognition, with support for several engines and APIs, online and offline. Recognize speech input from the microphone, transcribe an audio file, save audio data to an audio file. Show extended recognition results, calibrate the recognizer energy threshold for ambient noise levels (see recognizer_instance.energy_threshold for details). Listening to a microphone in the background, various other useful recognizer features. The easiest way to install this is using pip install SpeechRecognition. The first software requirement is Python 2.6, 2.7, or Python 3.3+. This is required to use the library. PyAudio is required if and only if you want to use microphone input (Microphone). PyAudio version 0.2.11+ is required, as earlier versions have known memory management bugs when recording from microphones in certain situations. To hack on this library, first make sure you have all the requirements listed in the "Requirements" section. -
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MySQL for Python
MySQL database connector for Python programming
MySQLdb is a Python DB API-2.0-compliant interface; see PEP-249 for details. For up-to-date versions of MySQLdb, use the homepage link. Supported versions: * MySQL versions from 3.23 to 5.5; 5.0 or newer recommended. MariaDB should also work. * Python versions 2.4-2.7; Python 3 support coming soon. ZMySQLDA is a Database Adapter for Zope2. -
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A HUD and stats tracker for your poker games written in Python. Supports Holdem, Omaha, Stud, Razz and Draw games.
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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 the command line, through Docker, or with a higher-performance gevent WSGI server, making it useful for quick database inspection, lightweight administration, and local development workflows. -
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imgSeek is a photo collection manager and viewer with content-based search and many other features. The query is expressed either as a rough sketch painted by the user or as another image you supply (or an image in your collection).
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SYDI is a project aimed to help system administrators in getting started with their Network Documentation. It can document Windows Servers, MS SQL Servers, Exchange Organizations and Linux systems.
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sqlmap is an open source penetration testing tool that automates the process of detecting and exploiting SQL injection flaws and taking over of database servers.
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Entity relation diagrams generator
Entity Relation Diagrams generation tool
ERAlchemy generates Entity Relation (ER) diagram from databases or from SQLAlchemy models. The simplest way to install eralchemy on OSX is by using Homebrew. ERAlchemy requires GraphViz to generate the graphs and Python. Both are available for Windows, Mac and Linux. Thanks to it's modular architecture, it can be connected to other ORMs/ODMs/OGMs/O*Ms. Some tests require a local postgres database with a schema named test in a database named test all owned by a user named postgres with a password of postgres. ERAlchemy was inspired by erd, though it is able to render the ER diagram directly from the database and not just only from the ER markup language. -
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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 implemented with performance in mind, often leveraging optimized data structures that balance fast reads and writes with minimal resource consumption. Developers can integrate OpenViking into modern AI stacks to unify context storage across services, enabling consistent session history, personalized responses, and richer search experiences. -
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SQLModel
SQL databases in Python, designed for simplicity, compatibility
SQLModel, SQL databases in Python, designed for simplicity, compatibility, and robustness. SQLModel is a library for interacting with SQL databases from Python code, with Python objects. It is designed to be intuitive, easy to use, highly compatible, and robust. SQLModel is based on Python-type annotations, and powered by Pydantic and SQLAlchemy. -
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TinyDB
Document oriented database optimized for you
TinyDB is a lightweight document oriented database optimized for your happiness :) It's written in pure Python and has no external dependencies. The target are small apps that would be blown away by a SQL-DB or an external database server. The current source code has 1800 lines of code (with about 40% documentation) and 1600 lines tests. Like MongoDB, you can store any document (represented as dict) in TinyDB. TinyDB is designed to be simple and fun to use by providing a simple and clean API. TinyDB neither needs an external server (as e.g. PyMongo) nor any dependencies from PyPI. TinyDB works on all modern versions of Python and PyPy. You can easily extend TinyDB by writing new storages or modify the behaviour of storages with Middlewares. TinyDB has been tested with Python 3.6 - 3.10 and PyPy3. -
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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 unattended full automation, ExcelToDatabase delivers unprecedented productivity improvements. For detail, Please go to website: https://www.diluauto.com/en/ Contact: Email: diluauto@foxmail.com -
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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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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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The MonetDB project has moved to http://www.monetdb.org/.
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Barman for PostgreSQL
Backup and Recovery Manager for PostgreSQL
Barman (backup and recovery manager) is an administration tool for disaster recovery of PostgreSQL servers written in Python. It allows to perform remote backups of multiple servers in business critical environments and help DBAs during the recovery phase. Barman's most wanted features include backup catalogs, retention policies, remote recovery, archiving and compression of WAL files and backups. Barman is written and maintained by PostgreSQL professionals 2ndQuadrant.
