Netcdf C Alternatives
Official GitHub repository for netCDF-C libraries and utilities.
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Xarray | 3,322 |  | 566 | 1,531 | a year ago | 75 | December 08, 2023 | 1,113 | apache-2.0 | Python |
| N-D labeled arrays and datasets in Python | ||||||||||
| Rioxarray | 454 |  | 141 | a year ago | 69 | August 14, 2023 | 58 | other | Python | |
| geospatial xarray extension powered by rasterio | ||||||||||
| Peroxide | 418 |  | 1 | 5 | a year ago | 207 | November 25, 2023 | 11 | apache-2.0 | Rust |
| Rust numeric library with R, MATLAB & Python syntax | ||||||||||
| Siphon | 226 |  | 6 | 19 | 2 months ago | 12 | July 15, 2015 | 100 | bsd-3-clause | Python |
| Siphon - A collection of Python utilities for retrieving atmospheric and oceanic data from remote sources, focusing on being able to retrieve data from Unidata data technologies, such as the THREDDS data server. | ||||||||||
| Netcdf Fortran | 207 | 9 | a year ago | 4 | July 30, 2022 | 113 | other | Roff | ||
| Official GitHub repository for netCDF-Fortran libraries, which depend on the netCDF C library. Install the netCDF C library first. | ||||||||||
| Georinex | 193 |  | 1 | 1 | 2 years ago | 35 | November 15, 2023 | 22 | mit | Python |
| Python RINEX 2 / 3 NAV / OBS / sp3 reader & batch convert to HDF5 with C-like speed | ||||||||||
| Wxee | 192 |  | 1 | a year ago | 12 | December 21, 2023 | 3 | mit | Python | |
| A Python interface between Earth Engine and xarray for processing time series data | ||||||||||
| H5netcdf | 192 |  | 14 | 129 | 4 months ago | 40 | November 07, 2023 | 13 | bsd-3-clause | Python |
| Pythonic interface to netCDF4 via h5py | ||||||||||
| Rasters.jl | 191 | a year ago | 82 | mit | Julia | |||||
| Raster manipulation for the Julia language | ||||||||||
| Goes2go | 149 | a year ago | 10 | August 23, 2023 | 18 | mit | Python | |||
| Download and process GOES-16 and GOES-17 data from NOAA's archive on AWS using Python. | ||||||||||
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