Python earth-science

Open-source Python projects categorized as earth-science

Top 3 Python earth-science Projects

  • iris

    A powerful, format-agnostic, and community-driven Python package for analysing and visualising Earth science data (by SciTools)

  • FourCastNet

    Initial public release of code, data, and model weights for FourCastNet

  • Project mention: What kind of bubble is AI? | news.ycombinator.com | 2024-01-25

    There is already a lot of real value in scientific domain-specific models. One such example is weather forecasting. We can suddenly create forecasts with astonishing accuracy on commodity hardware in a matter of seconds, versus several hours with traditional numeric models. This is life-saving.

    And it's open source, e.g.: https://github.com/NVlabs/FourCastNet

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

    InfluxDB logo
  • pylandtemp

    Algorithms for computing global land surface temperature and emissivity from NASA's Landsat satellite images with Python.

NOTE: The open source projects on this list are ordered by number of github stars. The number of mentions indicates repo mentiontions in the last 12 Months or since we started tracking (Dec 2020).

Index

What are some of the best open-source earth-science projects in Python? This list will help you:

Project Stars
1 iris 615
2 FourCastNet 452
3 pylandtemp 149

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