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| Name: | MetPy |
| Description: | This project advances MetPy to address some current limitations in supported data formats, scalability, and run-time performance; it makes MetPy more suitable for working on much larger datasets, frequently encountered in climate science and ensemble-based modeling studies. |
| Type: | Software Libraries |
| Keywords: | software package: enhancement of MetPy package |
| License: | BSD-3-Clause |
| Project URL: | https://unidata.github.io/MetPy/ |
| Download URL: | |
| Installation URL: | https://unidata.github.io/MetPy/latest/userguide/installguide.html |
| Software Stack: | Python |
| Other products that use this product: | |
| Citation: | https://unidata.github.io/MetPy/latest/userguide/citing.html |
| Acknowledgement: | |
| Funding Agency: | NSF |
| Award No: | 2103682 |
| Funded Project Title: | Elements: Scaling MetPy to Big Data Workflows in Meteorology and Climate Science |
| PI Name: | Ryan May |
| PI Email: | rmay@ucar.edu |
| Related Products: | |
| Last Update: | |
| DOI No: | 10.5065/D6WW7G29 |
| Twitter Handle: |
| Metric Name | Count | ||
|---|---|---|---|
| github_commits | 6667 | ||
| github_contributors | 80 | ||
| github_forks | 416 | ||
| github_stars | 1277 |