ml-tooling / best-of-python Goto Github PK

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Project details:

• Project Name: IP2Trace Python
• Github URL: https://github.com/ip2location/ip2trace-python
• Category: Others
• License: MIT
• Package Managers: pypi:IP2Trace

Additional context:

IP2Trace Python is a ready-to-use Python tool allowing users to display the geolocation information, such as country, region, city, latitude, longitude, zip code, time zone, ISP, domain name, connection type, area code, weather, mobile network, elevation, usage type in the IP traceroute results. It supports both IPv4 and IPv6 traceroute.

Project details:

• Project Name: TDDA
• Github URL: https://github.com/tdda/tdda
• Category: Data Pipelines & Streaming
• Package Managers: pypi:tdda
  Additional context:

TDDA = Test-Driven Data Analysis. Similar to Great Expectations. Heard about it in the Code for Though Podcast.

Project details:

• Project Name: Mozart
• Github URL: https://github.com/aashrafh/Mozart
• Category: Computer & Machine Vision
• License: Apache-2.0
• Package Managers: None

Additional context:

The aim of this project is to develop a sheet music reader. This is called Optical Music Recognition (OMR). Its objective is to convert sheet music to a machine-readable version. We take a simplified version where we convert an image of sheet music to a textual representation that can be further processed to produce midi files or audio files like wav or mp3.

Project details:

• Project Name: SOURCEdefender
• Github URL:
• Category: cryptography
• License: proprietary
• Package Managers: pypi:sourcedefender

Additional context:

SOURCEdefender is the easiest way to obfuscate Python code using AES-256 encryption.

Project details:

• Project Name: VidGear
• Github URL: https://github.com/abhiTronix/vidgear
• Category: Others
• License: Apache 2.0
• Package Managers: pypi:vidgear

Additional context:

VidGear is a High-Performance Video Processing Python Library that provides an easy-to-use, highly extensible, thoroughly optimised Multi-Threaded + Asyncio Framework on top of many state-of-the-art specialized libraries like OpenCV, FFmpeg, ZeroMQ, picamera, starlette, streamlink, pafy, pyscreenshot, aiortc and python-mss serving at its backend, and enable us to flexibly exploit their internal parameters and methods, while silently delivering robust error-handling and real-time performance 🔥

Project details:

• Project Name: Pandas AI
• Github URL: https://github.com/gventuri/pandas-ai
• Category: Data Containers & Dataframes
• License: MIT license
• Package Managers: pypi:pandasai

Project details:
Ubelt is a small library of robust, tested, documented, and simple functions that extend the Python standard library. It has a flat API that all behaves similarly on Windows, Mac, and Linux (up to some small unavoidable differences). Almost every function in ubelt was written with a doctest. This provides helpful documentation and example usage as well as helping achieve 100% test coverage (with minor exceptions for Python2, Windows, etc...).

• Project Name: ubelt
• Github URL: https://github.com/Erotemic/ubelt
• Category: utilities
• License: Apache License 2.0
• Package Managers: pypi:ubelt

Project details:

Ducks builds indexes on Python objects for fast lookup.

• Project Name: ducks
• Github URL: https://github.com/manimino/ducks
• Category: Data Structures
• License: MIT
• Package Managers: pypi:ducks

Additional context:

Ducks is something that Python should have had years ago. It fits into a huge variety of projects and solves a fundamental need.

The feedback has been very positive: https://www.reddit.com/r/Python/comments/wztfw4/ducks_the_python_object_finder/