Tiny local JSON database for Python.

Pylowdb

Downloads Downloads

Simple to use local JSON database ๐Ÿฆ‰

# 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
Similar Resources

Python function to extract all the rows from a SQLite database file while iterating over its bytes, such as while downloading it

Python function to extract all the rows from a SQLite database file while iterating over its bytes, such as while downloading it

Nov 9, 2022

A Persistent Embedded Graph Database for Python

A Persistent Embedded Graph Database for Python

Cog - Embedded Graph Database for Python cogdb.io New release: 2.0.5! Installing Cog pip install cogdb Cog is a persistent embedded graph database im

Dec 30, 2022

A Painless Simple Way To Create Schema and Do Database Operations Quickly In Python

A Painless Simple Way To Create Schema and Do Database Operations Quickly In Python

PainlessDB - Taking Your Pain away to the moon ๐Ÿš€ Contribute ยท Community ยท Documentation ๐ŸŽซ Introduction : PainlessDB is a Python-based free and open-

Jul 15, 2022

HTTP graph database built in Python 3

KiwiDB HTTP graph database built in Python 3. Reference Format References are strings in the format: {[email protected]} Authentication Currently, t

Dec 17, 2021

A NoSQL database made in python.

CookieDB A NoSQL database made in python.

Nov 30, 2022

TinyDB is a lightweight document oriented database optimized for your happiness :)

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

Dec 30, 2022

This is a simple graph database in SQLite, inspired by

This is a simple graph database in SQLite, inspired by

This is a simple graph database in SQLite, inspired by "SQLite as a document database".

Jan 3, 2023

Elara DB is an easy to use, lightweight NoSQL database that can also be used as a fast in-memory cache.

Elara DB is an easy to use, lightweight NoSQL database that can also be used as a fast in-memory cache.

Elara DB is an easy to use, lightweight NoSQL database written for python that can also be used as a fast in-memory cache for JSON-serializable data. Includes various methods and features to manipulate data structures in-memory, protect database files and export data.

Jan 4, 2023

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

Nov 9, 2021
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

Oct 1, 2022
A Simple , โ˜๏ธ Lightweight , ๐Ÿ’ช Efficent JSON based database for ๐Ÿ Python.
A Simple , โ˜๏ธ Lightweight ,  ๐Ÿ’ช Efficent JSON based database for ๐Ÿ Python.

A Simple, Lightweight, Efficent JSON based DataBase for Python The current stable version is v1.6.1 pip install pysondb==1.6.1 Support the project her

Jan 7, 2023
ClutterDB - Extremely simple JSON database made for infrequent changes which behaves like a dict

extremely simple JSON database made for infrequent changes which behaves like a dict this was made for ClutterBot

Jan 12, 2022
Simpledb-py: Simple JSON database

Simpledb-py: Simple JSON database

Feb 9, 2022
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

Feb 11, 2022
AWS Tags As A Database is a Python library using AWS Tags as a Key-Value database.

AWS Tags As A Database is a Python library using AWS Tags as a Key-Value database. This database is completely free* ??

Nov 25, 2022
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 >>>

Jan 4, 2023
securedb is a fast and lightweight Python framework to easily interact with JSON-based encrypted databases.

securedb securedb is a Python framework that lets you work with encrypted JSON databases. Features: newkey() to generate an encryption key write(key,

Nov 23, 2022
Oh-My-PickleDB is an open source key-value store using Python's json module.
Oh-My-PickleDB is an open source key-value store using Python's json module.

OH-MY-PICKLEDB oh-my-pickleDB is a lightweight, fast, and intuitive data manager written in python ?? Table of Contents About Getting Started Deployme

Feb 20, 2022
Python object-oriented database

ZODB, a Python object-oriented database ZODB provides an object-oriented database for Python that provides a high-degree of transparency. ZODB runs on

Dec 31, 2022