Typer is a library for building CLI applications based on Python type hints. It's also a command line tool to run scripts, automatically converting them to CLI applications. Tries to be easy and intuitive to use. Actively tries to minimize code duplication. Implements pretty printing for online documentation.

A CLI utility and Python module which, when given a language and a filename, goes out and tracks down subtitles for it.

It's in the Debian package repos but as a Python module only. You have to install it from Pypi if you want the CLI utility.

The documentation leaves much to be desired and the only way to find a sample config file is to poke around in the repo.

A small library for legible console plotting in Python. Uses plain ASCII and some ANSI colors to do it.

DeltaDB is a lightweight, fast, and scalable database built on polars and deltalake. It is designed to streamline data operations, providing features like upsert, delete, commit, and version control while harnessing the high performance of polars and deltalake.

A small Python3 application for navigating and editing nested dictionaries, which typically come from JSON BLOBs, named 'pelecanus' after Pelecanus occidentalis, the brown Pelican of California and the Eastern Pacific, which is a wonderful bird, but also named such because I got tired of writing "NestedJson". It has no external dependencies.

Often, it's necessary to explore a JSON object without knowing precisely where things are (in the case of Hypermedia, for example). By creating a recursive data structure, we can facilitate such tasks as retrieving key-value pairs, iterating through the data structure, and searching for elements in the data structure.

MEALPY is the largest python library in the world for most of the cutting-edge meta-heuristic algorithms (nature-inspired algorithms, black-box optimization, global search optimizers, iterative learning algorithms, continuous optimization, derivative free optimization, gradient free optimization, zeroth order optimization, stochastic search optimization, random search optimization). These algorithms belong to population-based algorithms (PMA), which are the most popular algorithms in the field of approximate optimization.

ObjectBox Python is a lightweight yet powerful on-device database & vector database. Store Python objects and vectors directly with an easy-to-use CRUD API while enjoying exceptional speed and efficiency. And because it's an embedded database, there's no setup required. Its advanced vector search empowers AI applications including RAG, generative AI, and similarity searches. Designed for high performance, the ObjectBox database runs locally on-device. As an offline-first solution, ObjectBox makes sure your app reliably works offline as well as online.

ACID compliant. Claims to be scalable and sustainable (i.e., it doesn't need a lot of horsepower to run). Queries can be filtered, even across relations.

TerminalTextEffects (TTE) is a terminal visual effects engine. TTE can be installed as a system application to produce effects in your terminal, or as a Python library to enable effects within your Python scripts/applications. TTE includes a growing library of built-in effects which showcase the engine's features.

There is a showroom with animated gifs that shows what they all look like: https://chrisbuilds.github.io/terminaltexteffects/showroom/

sjvisualizer is a data visualization and animation library for Python for time-series data.

Tries to be easy to use. Give it a file of data (the examples given are .xlsx files, can probably use others) and it seems to know what to do if it thinks it's time-series data.

Has an actual website with more detailed and elaborate examples, including background information: https://www.sjdataviz.com/software

The unstructured library provides open-source components for ingesting and pre-processing images and text documents, such as PDFs, HTML, Word docs, and many more. The use cases of unstructured revolve around streamlining and optimizing the data processing workflow for LLMs. unstructured modular functions and connectors form a cohesive system that simplifies data ingestion and pre-processing, making it adaptable to different platforms and efficient in transforming unstructured data into structured outputs.

There is also an API built around this module.

A database that tries to make it easy to build an LLM-like search database. Super-simple API for loading data and querying it.

You can do everything in your code or run it as a server (chroma run --path /path/to/datastore/on/disk) and use an HTTP client to interact with it.