Tiny local JSON database for Python.

Overview

Pylowdb

Downloads Downloads

Simple to use local JSON database 🦉

# This is pure python, not specific to pylowdb ;)
db.data['posts'] = ({ 'id': 1, 'title': 'pylowdb is awesome' })

# Save to file
db.write()
# db.json
{
  "posts": [
    { "id": 1, "title": "pylowdb is awesome" }
  ]
}

Support me

Features

  • Lightweight
  • Minimalist and easy to learn API
  • Query and modify data using plain Python
  • Atomic write
  • Hackable:
    • Change storage, file format (JSON, YAML, ...) or add encryption via adapters

Install

pip install pylowdb

Usage

import os
from os import path
from pylowdb import (
    Low,
    JSONFile,
)

# Use JSON file for storage
file = path.join(os.getcwd(), 'db.json')
adapter = JSONFile(file)
db = Low(adapter)

# Read data from JSON file, this will set db.data content
db.read()

# If file.json doesn't exist, db.data will be None
# Set default data
# db.data = db.data or { 'posts': [] }
db.data = db.data or { 'posts': [] }

# Create and query items using plain Python

db.data['posts'].append('hello world')
db.data['posts'][0]

# You can also use this syntax if you prefer
posts = db.data['posts']
posts.append('hello world'

# Write db.data content to db.json
db.write()
// db.json
{
  "posts": [ "hello world" ]
}

More examples

For more example, see examples/ directory.

API

Classes

Pylowdb has classes (for synchronous adapters).

Low(adapter)

from pylowdb import (
    Low,
    JSONFile,
)
db = Low(JSONFile('file.json'))
db.read()
db.write()

Methods

db.read()

Calls adapter.read() and sets db.data.

Note: JSONFile adapter will set db.data to None if file doesn't exist.

db.data  # is None
db.read()
db.data # is not None

db.write()

Calls adapter.write(db.data).

db.data = { 'posts': [] }
db.write() # file.json will be { posts: [] }
db.data = {}
db.write() # file.json will be {}

Properties

db.data

Holds your db content. If you're using the adapters coming with pylowdb, it can be any type supported by json.dumbs.

For example:

db.data = 'string'
db.data = [1, 2, 3]
db.data = { 'key': 'value' }

Adapters

Pylowdb adapters

JSONFile

Adapter for reading and writing JSON files.

Low(JSONFile(filename))

Memory

In-memory adapter. Useful for speeding up unit tests.

Low(Memory())

YAMLFile

Adapter for reading and writing YAML files.

Low(YAMLFile(filename))

TextFile

Adapters for reading and writing text. Useful for creating custom adapters.

Third-party adapters

If you've published an adapter for pylowdb, feel free to create a PR to add it here.

Writing your own adapter

You may want to create an adapter to write db.data to YAML, XML, encrypt data, a remote storage, ...

An adapter is a simple class that just needs to expose two methods:

class CustomAdapter:
    read(self):
        # should return deserialized data
        pass
    write(self, data):
        # should return nothing
        pass

For example, let's say you have some async storage and want to create an adapter for it:

api = YourAPI()

class CustomAdapter:
    # Optional: your adapter can take arguments

    def __init__(self, *args, **kwargs):
        pass

    def read(self):
        data = api.read()
    return data

    def write(self, data):
        api.write(data)

adapter = CustomAdapter()
db = Low(adapter)

See pylowdb/adapters for more examples.

Custom serialization

To create an adapter for another format than JSON, you can use TextFile.

For example:

from pylowdb import (
    Adapter,
    Low,
    TextFile,
)
import yaml

class YAMLFile(Adapter):
    def __init__(self, filename: str):
        self.adapter = TextFile(filename)

    def read(self):
        data = self.adapter.read()
        if data is None:  
            return null
        else:
            return YAML.deserialize(data)

    def write(self, obj):
        return self.adapter.write(YAML.serialize(obj))

adapter = YAMLFile('file.yaml')
db = Low(adapter)

Limits

If you have large Python objects (~10-100MB) you may hit some performance issues. This is because whenever you call db.write, the whole db.data is serialized and written to storage.

Depending on your use case, this can be fine or not. It can be mitigated by doing batch operations and calling db.write only when you need it.

If you plan to scale, it's highly recommended to use databases like PostgreSQL, MySql, Oracle ...

Owner
Hussein Sarea
I love every thing creative,I adore anime and disney movies. Technology is my life, and I aspire to learn every single part about it.
Hussein Sarea
pickleDB is an open source key-value store using Python's json module.

pickleDB pickleDB is lightweight, fast, and simple database based on the json module. And it's BSD licensed! pickleDB is Fun import pickledb

Harrison Erd 738 Jan 04, 2023
Postgres full text search options (tsearch, trigram) examples

postgres-full-text-search Postgres full text search options (tsearch, trigram) examples. Create DB CREATE DATABASE ftdb; To feed db with an example

Jarosław Orzeł 97 Dec 30, 2022
Simple embedded in memory json database

dbj dbj is a simple embedded in memory json database. It is easy to use, fast and has a simple query language. The code is fully documented, tested an

Pedro Gonring 25 Aug 12, 2022
TinyDB is a lightweight document oriented database optimized for your happiness :)

Quick Links Example Code Supported Python Versions Documentation Changelog Extensions Contributing Introduction TinyDB is a lightweight document orien

Markus Siemens 5.6k Dec 30, 2022
TelegramDB - A library which uses your telegram account as a database for your projects

TelegramDB A library which uses your telegram account as a database for your projects. Basic Usage from pyrogram import Client from telegram import Te

Kaizoku 79 Nov 22, 2022
Mongita is to MongoDB as SQLite is to SQL

Mongita is a lightweight embedded document database that implements a commonly-used subset of the MongoDB/PyMongo interface. Mongita differs from MongoDB in that instead of being a server, Mongita is

Scott Rogowski 809 Jan 07, 2023
Tools for analyzing Git history using SQLite

git-history Tools for analyzing Git history using SQLite Installation Install this tool using pip: $ pip install git-history Usage This tool can be r

Simon Willison 128 Jan 02, 2023
A NoSQL database made in python.

CookieDB A NoSQL database made in python.

cookie 1 Nov 30, 2022
Given a metadata file with relevant schema, an SQL Engine can be run for a subset of SQL queries.

Mini-SQL-Engine Given a metadata file with relevant schema, an SQL Engine can be run for a subset of SQL queries. The query engine supports Project, A

Prashant Raj 1 Dec 03, 2021
Migrate data from SQL to NoSQL easily

Migrate data from SQL to NoSQL easily Installation 💯 pip install sql2nosql --upgrade Dependencies 📢 For the package to work, it first needs "clients

Facundo Padilla 43 Mar 26, 2022
Connect Django Project to PostgreSQL

An application for learning things with creating quizzes and flashcards.Django, PostgresSQL are used for this project.

Cena Ashoori 1 Jan 25, 2022
Monty, Mongo tinified. MongoDB implemented in Python !

Monty, Mongo tinified. MongoDB implemented in Python ! Was inspired by TinyDB and it's extension TinyMongo

David Lai 523 Jan 02, 2023
A Painless Simple Way To Create Schema and Do Database Operations Quickly In Python

PainlessDB - Taking Your Pain away to the moon 🚀 Contribute · Community · Documentation 🎫 Introduction : PainlessDB is a Python-based free and open-

Aiden Ellis 3 Jul 15, 2022
A simple GUI that interacts with a database to keep track of a collection of US coins.

CoinCollectorGUI A simple gui designed to interact with a database. The goal of the database is to make keeping track of collected coins simple. The G

Builder212 1 Nov 09, 2021
PathfinderMonsterDatabase - A database of all monsters in Pathfinder 1e, created by parsing aonprd.com

PathfinderMonsterDatabase A database of all monsters in Pathfinder 1e, created by parsing aonprd.com Setup Run the following line to install all requi

Yoni Lerner 11 Jun 12, 2022
Decentralised graph database management system

Decentralised graph database management system To get started clone the repo, and run the command below. python3 database.py Now, create a new termina

Omkar Patil 2 Apr 18, 2022
Codeqlcompile - 自动反编译闭源应用,创建codeql数据库

codeql_compile 自动反编译闭源应用,创建codeql数据库 准备 首先下载ecj.jar和idea提供反编译的java-decompiler.ja

236 Jan 05, 2023
Simple json type database for python3

What it is? Simple json type database for python3! What about speed? The speed is great! All data is stored in RAM until saved. How to install? pip in

3 Feb 11, 2022
LightDB is a lightweight JSON Database for Python

LightDB What is this? LightDB is a lightweight JSON Database for Python that allows you to quickly and easily write data to a file Installing pip3 ins

Stanislaw 14 Oct 01, 2022
EmployeeDB - Advanced Redis search functionalities on Python applied on an Employee management backend app

EmployeeDB - Advanced Redis search functionalities on Python applied on an Employee management backend app

Ahmad Bazzi 58 Oct 10, 2022