Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
awesome-meteo
A list of python resources to do stuffs related to atmospheric science
https://github.com/pankajkarman/awesome-meteo
- numpy
- pandas - source library that is made mainly for working with relational or labeled data both easily and intuitively.
- scipy
- xarray - dimensional arrays in Python simple, efficient, and fun!
- sympy
- cupy
- pint-xarray
- XrViz
- salem
- modin
- vaex - of-Core DataFrames (similar to Pandas), to visualize and explore big tabular datasets.
- matplotlib
- Science Plots
- proplot - quality graphics
- Faceted
- gif
- xmovie
- Colormaps
- Basemap
- cartopy
- Holoviews
- Geoviews
- psyplot
- geoplot - level Python geospatial plotting library.
- Bokeh
- Graphviz
- hvPlot - level plotting API for pandas, dask, xarray, and networkx
- PyVista
- VisPy - performance interactive 2D/3D data visualization library
- mpl3
- arviz
- statsmodels
- Linear Models
- Prince
- Seaborn
- Altair
- Skill Metrics
- PyMC3
- Pingouin
- scikits-bootstrap
- bayesian_bootstrap
- tensorflow-probability
- pyro
- hmmlearn - learn like API
- filterpy
- GPflow
- Orbit
- patsy
- bambi - Building Interface (Bambi) in Python.
- pyextremes
- confidence interval
- PyWavelets
- Impyute
- hoggorm
- GeoPandas
- folium
- rasterio
- shapely
- pyproj
- Fiona
- geojson
- GeoTile
- nctoolkit
- sklearn-xarray - learn estimators to xarray types without losing their labels.
- Earthpy
- GeoCube
- Satpy
- metpy
- cfgrib
- xcast - of-the-art postprocessing techniques to gridded data sets.
- scikit-downscale
- uxarray - styled package for reading and directly operating on unstructured grid datasets
- Metview
- xMCA
- ConTrack - Contour Tracking
- WaveBreaking
- climateforcing
- Atlite
- **Access Cmip6**
- climpred: verification of weather and climate forecasts
- Bias Correction
- xclim - related indicator tools with an extensible framework for constructing custom climate indicators, statistical downscaling and bias adjustment of climate model simulations, as well as climate model ensemble analysis tools.
- eofs
- xskillscore
- dask
- multiprocessing - based parallelism
- mpi4py
- joblib
- PyMieScatt
- PyTMatrix - matrix scattering calculations
- typhon
- climt
- lowtran - -in Python
- xESMF
- gt4py - performance implementations of stencil kernels for weather and climate modeling from a domain-specific language
- pace - specific language in Python.
- konrad - dimensional radiative-convective equilibrium (RCE) model.
- pyLRT
- pyClimat
- pyLBL - by-line radiative transfer model
- climlab - oriented climate modeling
- AtChem2 - model for the MCM
- AC_tools
- PyCHAM
- PySDM - based (super-droplet) warm-rain/aqueous-chemistry cloud microphysics package with box, parcel & 1D/2D prescribed-flow examples
- PyBox - model generator and simulator designed for atmospheric chemistry and aerosol studies.
- pykpp - like chemical mechanism parser that produces a box model solvable by SciPy's odeint solver
- sktime
- Statistical Forecast
- Machine Learning Forecast
- Neural Forecast - of-the-art neural forecasting models.
- darts - friendly forecasting and anomaly detection on time series.
- DLMMC - series data
- traces - spaced time series analysis
- tsai - of-the-art Deep Learning library for Time Series and Sequences.
- bayesloop - varying parameters and model selection based on Bayesian inference.
- scikit-learn - learn is a Python module for machine learning
- tensorflow
- pytorch
- keras - source library that provides a Python interface for artificial neural networks. Keras acts as an interface for the TensorFlow library
- Keras Tuner
- hyperopt
- hyperas
- Bayesian Optimization
- BoTorch
- Dragonfly
- Talos
- AutoKeras
- auto-sklearn - learn
- imbalanced-learn
- scikit-opt
- PlotNeuralNet
- x-unet - net complete with efficient attention
- dvc
- xai
- shap
- PiML
- Xplique
- dtreeviz
- explainerdashboard - learn compatible) machine learning model. The dashboard provides interactive plots on model performance, feature importances, feature contributions to individual predictions, "what if" analysis, partial dependence plots, SHAP (interaction) values, visualisation of individual decision trees, etc.
- Keract
- DiCE
- tf-explain
- explainx
- keras-vis
- flashtorch
- tigramite
- DoWhy
- CausalNex - if" analysis using Bayesian Networks.
- causal-curve
- Causal ML
- y0
- skccm
- causallib
- Deep Convolutional AutoEncoder - chem model for bias correcting simulations of Nitorgen dioxide (NO2), Carbon monoxide (CO), Rainfall and Temperature.
- Atmos. Chem. Downscaling CNN
- Techniques for deep learning on satellite and aerial imagery
- AI-based weather forecasting models
- Pangu-Weather
- FourCastNet
- MetNet
- ClimateLearn - of-the-art climate data and machine learning models in a standardized, straightforward way. This library provides access to multiple datasets, a zoo of baseline approaches, and a suite of metrics and visualizations for large-scale benchmarking of statistical downscaling and temporal forecasting methods.
- RainNet - based precipitation nowcasting
- SmaAt-UNet - Architecture
- ClimaX
- Stiff-PINN - PINN: Physics-Informed Neural Network for Stiff Chemical Kinetics
- wxee
- geemap
- Pillow
- scikit-image
- opencv
- imageio
- instafilter - like filters in python
Programming Languages
Keywords
python
65
machine-learning
32
deep-learning
19
data-science
15
xarray
14
forecasting
9
visualization
8
time-series
8
tensorflow
8
statistics
8
scikit-learn
8
keras
8
pytorch
7
gis
7
pandas
6
interpretability
6
atmospheric-modelling
6
atmospheric-science
6
dask
6
bayesian-inference
5
artificial-intelligence
5
probabilistic-programming
5
matplotlib
5
plotting
5
xai
5
geospatial
5
raster
5
image-processing
5
causal-inference
4
hyperparameter-optimization
4
climate-science
4
numpy
4
python3
4
explainability
4
science
4
explainable-ai
4
automl
4
explainable-ml
4
closember
3
bayesian
3
regression
3
data-visualization
3
interpretable-machine-learning
3
time-series-analysis
3
principal-component-analysis
3
variational-inference
3
bayesian-statistics
3
deep-neural-networks
3
neural-networks
3
ml
3