Discover @andgineer Open Source projects

Andrey Sorokin (@andgineer)

andgineer

Stars
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Global Rank 108,144 (Top 4 %)
Followers 42
Following 4
Registered over 12 years ago
Most used languages

Python
71.4 %

Shell
9.5 %

Dockerfile
9.5 %

HTML
4.8 %

Pascal 4.8 %
Location 🇷🇸 Serbia
Country Total Rank 123
Country Ranking

Pascal 1

Dockerfile
13

Python
53

Shell
71

HTML
275

TRegExpr

Regular expressions (regex), pascal.

e2e-tests

End to end py.test with Selenium Grid in docker-compose

docker-amazon-dash-button-hack

Amazon Dash Button hack in Docker for Synology

docker-allure

Allure 2 docker

hrcomparison

Compares heart rate data from different heart rate monitors. Import data from Training Center XML (TCX)

fastapi-celery

Python backend template: FastAPI + SQLAlchemy/Postgres + Celery/Redis

goodreads-export

Export book reviews from goodreads to markdown files (Obsidian etc).

spark-aws-rdkit

Docker image with Apache Spark / Hadoop3 (compatible with AWS services like S3) and with RDKit installed in anaconda environment

joplin-bulker

Joplin bulk operations

aios3

Simplifyed S3 file operations using Python asyncio (based on aiobotocore)

itunes-audiobook-from-mp3

Fix mp3 files tags to convert them into iTunes/iPhone audiobooks.

redis-redirect

Wrapper to fix redis.exceptions.ResponseError: MOVED

garmin-daily

Fill Google Sheets with data from Garmin Connect

docker-matplotlib

Alpine Linux based matplotlib with python3

regexpstudio.com

(archive) TRegExpr docs site

uv-venv

Github Action to install uv and create a virtual environment

http-stream-xml

Parse HTTP response as stream, by chunks.

docker-iot-calendar

Render data from Google Sheets / Calendar on Amazon Kindle

api-db-prototype

API with SQL Alchemy layer alternatively implemented with Flask and Connexion

cookiecutter-python-package

Cookiecutter template for Python package with GitHub actions to publish on PiPy and with mkdocs material.

xdist-scheduling-exclusive

pytest-xdist scheduler that runs some tests on dedicated workers. can significantly improve runtime by running long tests on separate workers.