Play elevator music in the background while your script runs.

from script_background_music import play_music_in_background

play_music_in_background()

TinyFlux is a time series version of TinyDB that is also written in Python and has no external dependencies. It's a great companion for small analytics workflows and apps, as well as at-home IOT data stores. Python datetime objects are first-class citizens and queries are optimized for time, above all else. Designed to be simple and fun to use by providing a simple and clean API that can be learned in 5 minutes. The current source code has 4,000 lines of code (with about 50% documentation) and 4,000 lines tests. TinyFlux is about 150kb, unzipped. TinyFlux needs neither an external server nor any dependencies.

CaskDB is a disk-based, embedded, persistent, key-value store based on the Riak's bitcask paper, written in Python. It is more focused on the educational capabilities than using it in production. The file format is platform, machine, and programming language independent. Say, the database file created from Python on macOS should be compatible with Rust on Windows.

This project aims to help anyone, even a beginner in databases, build a persistent database in a few hours. There are no external dependencies; only the Python standard library is enough.

A library for evaluating tabletop dice roll expressions. Supports rolling multiple dice (3d6), dice arithmetic (adding die rolls together), dice with arbitrary numbers of sides (5d13), keeping or dropping the highest or lowest rolls, exploding dice (roll a maximum value, roll and add an extra die), and more.

Scapy is a powerful interactive packet manipulation program. It is able to forge or decode packets of a wide number of protocols, send them on the wire, capture them, match requests and replies, and much more. It can easily handle most classical tasks like scanning, tracerouting, probing, unit tests, attacks or network discovery (it can replace hping, 85% of nmap, arpspoof, arp-sk, arping, tcpdump, tshark, p0f, etc.). It also performs very well at a lot of other specific tasks that most other tools can’t handle, like sending invalid frames, injecting your own 802.11 frames, combining technics (VLAN hopping+ARP cache poisoning, VOIP decoding on WEP encrypted channel, …), etc.

Scapy runs natively on Linux, Windows, OSX and on most Unixes with libpcap (see scapy’s installation page). The same code base now runs natively on both Python 2 and Python 3.

gcprand is a Python library for gathering Global Consciousness Project Dot data and generating psychorandom numbers seeded by nooetic activity. It is a thoroughly unconventional entropy generator in the tradition of Cloudflare's LavaRand.

Reading through the code could provide insights into how to pull and analyze the data myself.

For something in between a pytorch and a karpathy/micrograd. This may not be the best deep learning framework, but it is a deep learning framework. Due to its extreme simplicity (<= 1000 lines of code), it aims to be the easiest framework to add new accelerators to, with support for both inference and training. Support basic ops and you get SOTA vision and language models.

ViperDB is a lightweight embedded key-value store written in pure Python. It has been designed for being extremely simple while efficient. The main db file consists of just ~300 lines of code. Thanks to the small codebase, every single line of code is tested. Takes design concepts by log-structured databases such as Bitcask. Written in pure Python - no external dependency needed.

A small set of Python functions to draw pretty maps from OpenStreetMap data. Based on osmnx, matplotlib and shapely libraries.

Create UIs for your machine learning model in Python in 3 minutes. Quickly create customizable UI components around your models. Gradio makes it easy for you to "play around" with your model in your browser by dragging-and-dropping in your own images, pasting your own text, recording your own voice, etc. and seeing what the model outputs.

Reddit Persona is a python module that extracts personality insights, sentiment & interests from a user account. Support for subreddit analysis not working due to praw update v3--> v5, fix incoming ).

Text is collected via reddit's python API, praw, and NLP is powered by the indico.io API.

Remi is a GUI library for Python applications that gets rendered in web browsers. This allows you to access your interface locally and remotely. There is also a drag-n-drop GUI Editor. Look at the Editor subfolder to download your copy.

No HTML knowledge is required, Remi does it all for you automatically.

Looks fairly straightforward to use, provided that you start using it at the beginning. I don't know how easy it would be to retrofit existing code.

Transforms tkinter, Qt, Remi, WxPython into portable people-friendly Pythonic interfaces, especially if you primarily do CLI tools. Tries to make it easy to build GUIs for applications, because ordinarily the process sucks. Supports several toolkits, including QT, WxPython, and Remi (if you want to turn something into a webapp); you can switch between those toolkits with a single line. No callback functions, that's all handled for you. Has a built-in debugger.

GPUtil is a Python module for getting the GPU status from NVIDA GPUs using nvidia-smi. GPUtil locates all GPUs on the computer, determines their availablity and returns a ordered list of available GPUs. Availablity is based upon the current memory consumption and load of each GPU. The module is written with GPU selection for Deep Learning in mind, but it is not task/library specific and it can be applied to any task, where it may be useful to identify available GPUs.

nvidia-smi aside, all of its dependencies are in the basic Python install.

jc JSONifies the output of many CLI tools and file-types for easier parsing in scripts. This allows further command-line processing of output with tools like jq or jello by piping commands. The jc parsers can also be used as python modules.

TinyXMPP is a small XMPP client library for Python applications. It allows developers to easily connect to XMPP servers and exchange messages in a fast and secure way.

The only demo code seems to be in the README right now.

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. Can serialize and dump to disk for storage and restoration. Integrity checking built in.

Not a server, it's an embedded database.

Converter from Markdown to the Gemini text format. It works as a Python module, or a command line application. One of its key features is that it can convert inline links into footnotes. It also supports tables, and will convert them into Unicode (or ASCII) tables. Anything else that it doesn't understand will remain the same as when you wrote it, like strikethrough for example.

I'm considering trying my hand at writing Pelican plugins with this module, so I can set up a Gemini site with my existing blog.

HPI is a Python package (named my), a collection of modules for social networks (posts, comments, favorites), reading (e-books and pdfs), annotations, todos and notes, health data, location data, photos & videos, browser history and instant messaging. The package hides the gory details of locating data, parsing, error handling and caching. You simply ‘import’ your data and get to work with familiar Python types and data structures.

Chepy is a python library with a handy cli that is aimed to mirror some of the capabilities of CyberChef. A reasonable amount of effort was put behind Chepy to make it compatible to the various functionalities that CyberChef offers, all in a pure Pythonic manner. There are some key advantages and disadvantages that Chepy has over Cyberchef. The Cyberchef concept of stacking different modules is kept alive in Chepy.