NVIDIA/earth2studio
Open-source deep-learning framework for exploring, building and deploying AI weather/climate workflows. observed · 2026-10-20
Health v2 · maintenance only
88/100
- Activity 100
- Release rhythm 85
- Longevity 66
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-10-21. Adoption (stars, forks) is never an input.
- gap_med: 32
- age_days: 928
- days_rel: 20
- days_push: 1
- n_releases_24m: 18
Adoption not part of the score
1205 stars · 283 forks observed · 2026-10-20
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
Earth2Studio is a Python deep-learning framework from NVIDIA for building, exploring, and deploying AI-driven weather and climate workflows. It provides ready-to-use AI weather models (e.g., FourCastNet3), data sources, and inference pipelines runnable in a few lines of code.
Use cases
- run AI weather forecast with FourCastNet
- build deep learning weather prediction workflows
- fetch ERA5 or GFS data for climate research
- deploy AI climate models for inference
- compare AI weather models on GPU
- generate deterministic forecasts from GFS data
When to choose
- you want to run or experiment with AI weather/climate models in Python
- you need GPU-accelerated forecast inference with pluggable models and data sources
- you are doing research on AI-driven earth system modeling
When to avoid
- you need traditional numerical weather prediction (NWP) solvers
- you need a general-purpose climate data analysis or visualization tool without AI models
- you cannot use GPU resources
Facets
library · maturity active
deep-learning machine-learning data-science sdk weather artificial-intelligence deep-learning data-science python cloud weather-forecasting climate-modeling ai-weather-models earth-system-science inference-workflows nvidia climate-science linux gpu
3 sources
- readme: https://github.com/NVIDIA/earth2studio · fetched 2026-10-20 · 3000c96e5edf
- homepage: https://nvidia.github.io/earth2studio/ · fetched 2026-08-29 · 99ef38696945
- registry_pypi: https://pypi.org/pypi/earth2studio/json · fetched 2026-08-29 · 45d2db4d1d25
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| NVIDIA/earth2studio | main | 88 |
For agents
markdown · JSON · MCP: product_card(name="NVIDIA/earth2studio")
Data as of 2026-10-19T08:05:51.212177+00:00 · Report a problem