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FastAPI framework, high performance, easy to learn, fast to code, ready for production
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
Streamlit — A faster way to build and share data apps.
The platform for building AI from enterprise data
Write scalable load tests in plain Python 🚗💨
Try PyScript: https://pyscript.com Examples: https://tinyurl.com/pyscript-examples Community: https://discord.gg/HxvBtukrg2
Typer, build great CLIs. Easy to code. Based on Python type hints.
SQL databases in Python, designed for simplicity, compatibility, and robustness.
Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable,…
Always know what to expect from your data.
The fastest ⚡️ way to build data pipelines. Develop iteratively, deploy anywhere. ☁️
Simple, powerful, and fast logging for Python.
A Python package for interactive geospatial analysis and visualization with Google Earth Engine.
A Python package for interactive mapping and geospatial analysis with minimal coding in a Jupyter environment
Utils for streaming large files (S3, HDFS, gzip, bz2...)
A Python package for segmenting geospatial data with the Segment Anything Model (SAM)
Convert code repos into an LLM prompt-friendly format. Mostly built by GPT-4.
An open source library and framework for deep learning on satellite and aerial imagery.
Uncomplicated Observability for Python and beyond! 🪵🔥
Specification for storing geospatial vector data (point, line, polygon) in Parquet
Build your own Raster dynamic map tile services
A Python library for fast, interactive geospatial vector data visualization in Jupyter.
Open Data Cube analyses continental scale Earth Observation data through time
Python Package for Airborne RGB machine learning
Dev jobs in the sustainability sector - be part of the solution, not the problem
Laspy is a pythonic interface for reading/modifying/creating .LAS LIDAR files matching specification 1.0-1.4.