Open Source Python Database Software for Mac - Page 2

Python Database Software for Mac

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Browse free open source Python Database Software for Mac and projects below. Use the toggles on the left to filter open source Python Database Software for Mac by OS, license, language, programming language, and project status.

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  • 1
    athenaSQL

    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.
    Downloads: 2 This Week
    Last Update:
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  • 2
    tccutil.py

    tccutil.py

    Command line tool to modify OS X's accessibility database (TCC.db)

    Apple has a utility in /usr/bin named tccutil, but it only supports one command, which is to reset the entire database. It has been like this for many versions of macOS. I wanted a command-line utility that would be able to add, remove, list, and take other actions. This tool needs SIP disabled in order to function. The risk of doing so is up to you. tccutil.py can be installed without any additional software. Depending how you have your $PATH variable setup, you can simply type tccutil (instead of the full path) and it will run this utility instead of Apple's. This utility needs super-user priveleges for most operations. It is important that you either run this as root or use sudo, otherwise it won't work and you will end up with “permission denied” errors.
    Downloads: 2 This Week
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  • 3
    Cinemagoer

    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.
    Downloads: 12 This Week
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  • 4
    Python module for reading and writing DBF files. Originally it was created by Jeff Kunce and later maintained by Hans Fiby.
    Downloads: 12 This Week
    Last Update:
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  • 5
    SQL Relay
    Database connection pool with support for lots of languages and databases.
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    Downloads: 25 This Week
    Last Update:
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  • 6
    Pigeon Planner

    Pigeon Planner

    Organise and manage your pigeons

    Pigeon Planner aims to be a simple to use pigeon database. Add, edit, remove pigeons and view their details such as name, image, sex, colour, pedigree, relatives and results in the user-friendly interface.
    Downloads: 12 This Week
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  • 7
    sqlmap
    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.
    Downloads: 6 This Week
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  • 8
    PyTables - Hierarchical datasets
    The goal of PyTables is to enable the end user to efficiently and easily manipulate large datasets (both homogenous, i.e. arrays, and heterogenous, i.e. tables) on a persistent, hierarchical way.
    Downloads: 6 This Week
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  • 9
    Aerich

    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.
    Downloads: 1 This Week
    Last Update:
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  • 10
    Arctic TimeSeries and Tick store

    Arctic TimeSeries and Tick store

    High performance datastore for time series and tick data

    Arctic is a timeseries/dataframe database that sits atop MongoDB. Arctic supports serialization of a number of datatypes for storage in the mongo document model. Serializes a number of data types eg. Pandas DataFrames, Numpy arrays, Python objects via pickling etc. so you don't have to handle different datatypes manually. Uses LZ4 compression by default on the client side to get big savings on network / disk. Allows you to version different stages of an object and snapshot the state (In some ways similar to git), and allows you to freely experiment and then just revert back the snapshot. [VersionStore only] Does the chunking (breaking a Dataframe to smaller part for you. Has different types of Stores, each with it's own benefits. Eg. Versionstore allows you to version and snapshot stuff, TickStore is for storage and highly efficient retrieval of streaming data, ChunkStore allows you to chunk and efficiently retrieve ranges of chunks.
    Downloads: 1 This Week
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  • 11
    Bracket

    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.
    Downloads: 1 This Week
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  • 12
    CogDB

    CogDB

    Micro Graph Database for Python Applications

    Cog is a lightweight, embedded graph database for Go that provides a simple interface for storing and querying graph-based data structures, making it useful for knowledge representation and graph analytics.
    Downloads: 1 This Week
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  • 13
    Django Postgres Extra

    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.
    Downloads: 1 This Week
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  • 14
    ERAlchemy

    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.
    Downloads: 1 This Week
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  • 15
    Entity relation diagrams generator

    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.
    Downloads: 1 This Week
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  • 16
    FAKE2DB

    FAKE2DB

    Create custom test databases that are populated with fake data

    Generate fake but valid data filled databases for test purposes using most popular patterns(AFAIK). Current support is sqlite, mysql, postgresql, mongodb, redis, CouchDB. The installation through pypi retrieves 'fake-factory' as a main dependency. db argument takes 6 possible options, sqlite, mysql, postgresql, mongodb, redis, CouchDB. name argument is OPTIONAL. When it is absent fake2db will name db's randomly. host argument is OPTIONAL. Hostname to use for database connection. Not used for sqlite. host argument is OPTIONAL. Hostname to use for database connection. Not used for sqlite. username argument is OPTIONAL. Username for the database user. password argument is OPTIONAL. Password for database user. Only supported for mysql & PostgreSQL. locale argument is OPTIONAL. The localization of data to be generated ('en_US' as default). seed argument is OPTIONAL. Integer for seeding random generator to produce the same data set between runs. Note: uuid4 values still generated randomly.
    Downloads: 1 This Week
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  • 17
    MongoEngine

    MongoEngine

    A Python Object-Document-Mapper for working with MongoDB

    MongoEngine is a Python Object-Document Mapper for working with MongoDB.
    Downloads: 1 This Week
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  • 18
    MySQL Export Laravel Migrations

    MySQL Export Laravel Migrations

    A MySQL Workbench plugin which exports a Model to Laravel 5 Migrations

    A MySQL Workbench plugin that allows for exporting a model to Laravel 5 migrations that follow PSR-2 coding standards. When exported, each migration is generated and saved in it's own, properly named, migration file.
    Downloads: 1 This Week
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  • 19
    OSV.dev

    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 that checks software dependencies, container images, SBOMs (SPDX, CycloneDX), and Git repositories for known vulnerabilities. This repository contains the full infrastructure code for deploying osv.dev on Google Cloud Platform, including Terraform configurations, APIs, data pipelines, indexers, and background workers for vulnerability ingestion and impact analysis. It also integrates with automated feeds from sources like NVD and OSS-Fuzz, enabling continuous updates and high data accuracy.
    Downloads: 1 This Week
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  • 20
    Orator

    Orator

    The Orator ORM provides a simple yet beautiful ActiveRecord implement.

    The Orator ORM provides a simple yet beautiful ActiveRecord implementation. The Orator ORM is based on conventions to avoid the hassle of defining every single aspect of your models. It is inspired by the database part of the Laravel framework, but largely modified to be more pythonic. All you need to get you started is the configuration describing your database connections and passing it to a DatabaseManager instance. If you have multiple databases configured you can specify which one is the default. For MySQL and PostgreSQL, the connectors are configured to return unicode strings. If you want to use the previous behavior just set the use_unicode configuration option to False. Once you have configured your database connection, you can run queries. To run a set of operations within a database transaction, you can use the transaction method which is a context manager.
    Downloads: 1 This Week
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  • 21
    Pity

    Pity

    API test platform

    Pity is a powerful and user-friendly open-source API test platform that supports automated test case creation, test scheduling, and result visualization. Designed for developers and QA teams, it provides a web-based interface for writing, organizing, and executing HTTP tests, making it easy to maintain robust API quality in CI/CD pipelines.
    Downloads: 1 This Week
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  • 22
    PyMongo

    PyMongo

    PyMongo - the Official MongoDB Python driver

    The PyMongo distribution contains tools for interacting with MongoDB database from Python. The bson package is an implementation of the BSON format for Python. The pymongo package is a native Python driver for MongoDB. The gridfs package is a gridfs implementation on top of pymongo.
    Downloads: 1 This Week
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  • 23
    SuperDuperDB

    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. Train models on your data in your datastore simply by querying without additional ingestion and pre-processing.
    Downloads: 1 This Week
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  • 24
    Walrus

    Walrus

    Lightweight Python utilities for working with Redis

    The purpose of walrus is to make working with Redis in Python a little easier. Rather than ask you to learn a new library, walrus subclasses and extends the popular redis-py client, allowing it to be used as a drop-in replacement. In addition to all the features in redis-py, walrus adds support for some newer commands, including full support for streams and consumer groups. Persistent structures implemented on top of Hashes. Supports secondary indexes to allow filtering on equality, inequality, ranges, less/greater-than, and a basic full-text search index. The full-text search features a boolean search query parser, porter stemmer, stop-word filtering, and optional double-metaphone implementation.
    Downloads: 1 This Week
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  • 25
    WikiSQL

    WikiSQL

    A large annotated semantic parsing corpus for developing NL interfaces

    A large crowd-sourced dataset for developing natural language interfaces for relational databases. WikiSQL is the dataset released along with our work Seq2SQL: Generating Structured Queries from Natural Language using Reinforcement Learning. Regarding tokenization and Stanza, when WikiSQL was written 3-years ago, it relied on Stanza, a CoreNLP python wrapper that has since been deprecated. If you'd still like to use the tokenizer, please use the docker image. We do not anticipate switching to the current Stanza as changes to the tokenizer would render the previous results not reproducible.
    Downloads: 1 This Week
    Last Update:
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