This package provides an interface to the EMToolKit through PyPi
Project description
EMToolKit
Welcome to the EMToolKit repository, a suite of tools for computing Solar Differential Emission Measures (DEM) in Python. This toolkit is designed for photometric analysis and visualization, tailored for solar physics research and applications.
Documentation
- Official Documentation: ReadTheDocs
- Documentation Mirror: GitHub Pages
Installation
For installation instructions, please refer to the Installation Guide
Contributing
To contribute to EMToolKit, please see the contribute file for details on how to get involved.
License
This project is licensed under the BSD License. See the LICENSE file for more details.
Troubleshooting
If you encounter any issues, please refer to the issue tracker or consult the documentation.
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file emtoolkit-0.1.7.tar.gz.
File metadata
- Download URL: emtoolkit-0.1.7.tar.gz
- Upload date:
- Size: 3.1 MB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.11.9
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
c7b94102354a76c4288ab9c1121010c51c266f7e9bd5224d6391af26da723c59
|
|
| MD5 |
6dbbe93c4c74955a715ca53827a87521
|
|
| BLAKE2b-256 |
a2b34273d588d7f0b53bb8397fa40240b892bf12fd5f2cf1039af04dc3924879
|
File details
Details for the file emtoolkit-0.1.7-py3-none-any.whl.
File metadata
- Download URL: emtoolkit-0.1.7-py3-none-any.whl
- Upload date:
- Size: 64.4 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.11.9
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
60215af7ba1570867bcd8b7683bbf24d8755af26ff45c6ddb83bfc955c7504c1
|
|
| MD5 |
6a67fb6e2c4f969e22a41c753f790e50
|
|
| BLAKE2b-256 |
1aefe8c5c11367fe5d90651cff4af0865ea54057e7b76072a19632d8838a18cb
|
