OpenLIBS is a package that provides functionality to analyse Laser Induced Breakdown Spectroscopic Spectras
Project description
LIBS_Elemental_Analysis
Laser Induced Breakdown Spectroscopy(LIBS) is a versatile tool to quantitatively and qualitatively analyse a sample using laser ablation. This Package Gives one the ability to computationally perform the Analysis for on a LIBS Spectra to obtain Qualitative information about the sample.
Help with OpenLIBS
If you need help regarding OpenLIBS, then please open an issue or reach out to me through any of the contacts you can find in my GitHub Profile
If you would like to submit a bug report or feature request, please open an issue.
Contributing
Contributions to this project are always welcome. Please see the Contribution Guidelines to see how to help.
Code of Conduct
I value a positive and respectful community, and I kindly ask that you follow our code of conduct in all interactions with other members. Please take a moment to review the Code of Conduct.
License
Please refer the License of this project to understand about your rights.
Project details
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
File details
Details for the file OpenLIBS-0.1.0.tar.gz
.
File metadata
- Download URL: OpenLIBS-0.1.0.tar.gz
- Upload date:
- Size: 80.0 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.10.4
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 161b1c901cae9c49dec8ac9f73f330ce17ad42368262df8ded14fa58f2b0ca7d |
|
MD5 | f07e65a5610f075ee1b7b7a8f5e000cc |
|
BLAKE2b-256 | 821d7ec9b4529a8a403dfbf8dbbf6b4ec0669a4f4a441ba8baebfd1111827b65 |
File details
Details for the file OpenLIBS-0.1.0-py3-none-any.whl
.
File metadata
- Download URL: OpenLIBS-0.1.0-py3-none-any.whl
- Upload date:
- Size: 99.6 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.10.4
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 15ba4a0117eec58a9157620b528e4426c3b355dc90f26d1ae05fe8c06b19b520 |
|
MD5 | 09a0e0149e6d5103f37c41646a0f061f |
|
BLAKE2b-256 | 9e282472ba44f0c86005c9ded1f90a8ce72cf29aa544f0318efd28882bf4b855 |