lol VS XFFF

Compare lol vs XFFF and see what are their differences.

lol

A utility library for Python (It contains a JSON-based-database, argparse, some common datatypes, switch cases etc) (by pranavbaburaj)
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lol XFFF
1 1
10 0
- -
8.7 10.0
almost 3 years ago over 2 years ago
Python Python
MIT License MIT License
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lol

Posts with mentions or reviews of lol. We have used some of these posts to build our list of alternatives and similar projects.
  • A JSON based database for python
    1 project | dev.to | 11 Feb 2021
    In this tutorial, we will check out a database library in python, called lol-db. Before starting this tutorial, I assume that you have a basic knowledge of python and pip. In this tutorial, we will be covering:

XFFF

Posts with mentions or reviews of XFFF. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing lol and XFFF you can also consider the following projects:

pysonDB - A Simple , ☁️ Lightweight , 💪 Efficent JSON based database for 🐍 Python. PysonDB-V2 has been released ⬇️

nsa-codebreaker-2020 - My solutions to the 2020 NSA Codebreaker Challenge

pyreports - pyreports is a python library that allows you to create complex report from various sources

NCS-Competition - Hayden Housen's solutions to the 2021 National Cyber Scholarship and Cyber FastTrack Competitions

datagoose - 🔐 Easy to use, fast, lightweight, secure, JSON based database for Python!

dbjson - This is a simple flat file database which stores its data in a JSON file.

Mimesis - Mimesis is a powerful Python library that empowers developers to generate massive amounts of synthetic data efficiently.

elara - Elara DB is an easy to use, lightweight persistent key-value store that can also be used as a fast in-memory cache. Manipulate data structures in-memory, encrypt database files and export data. :dart:

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

pickleDB - pickleDB is an open source key-value store using Python's json module.