ACT
Atmospheric data Community Toolkit - A python based toolkit for exploring and analyzing time series atmospheric datasets (by ARM-DOE)
cfgrib
A Python interface to map GRIB files to the NetCDF Common Data Model following the CF Convention using ecCodes (by ecmwf)
ACT | cfgrib | |
---|---|---|
5 | - | |
126 | 376 | |
1.6% | 0.8% | |
8.8 | 7.4 | |
16 days ago | 11 days ago | |
Python | Python | |
GNU General Public License v3.0 or later | Apache License 2.0 |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
ACT
Posts with mentions or reviews of ACT.
We have used some of these posts to build our list of alternatives
and similar projects.
cfgrib
Posts with mentions or reviews of cfgrib.
We have used some of these posts to build our list of alternatives
and similar projects.
We haven't tracked posts mentioning cfgrib yet.
Tracking mentions began in Dec 2020.
What are some alternatives?
When comparing ACT and cfgrib you can also consider the following projects:
metoffer - A simple Python wrapper for the API provided by the British Met Office known as DataPoint with additional tools for handling the returned data.
iris - A powerful, format-agnostic, and community-driven Python package for analysing and visualising Earth science data