vesical
A generalized python library for calculating and plotting various things related to mixed volatile (H2O-CO2) solubility in silicate melts.
Science Score: 49.0%
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✓DOI references
Found 5 DOI reference(s) in README -
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○Scientific vocabulary similarity
Low similarity (11.8%) to scientific vocabulary
Repository
A generalized python library for calculating and plotting various things related to mixed volatile (H2O-CO2) solubility in silicate melts.
Basic Info
- Host: GitHub
- Owner: kaylai
- License: mit
- Language: Jupyter Notebook
- Default Branch: master
- Size: 126 MB
Statistics
- Stars: 33
- Watchers: 2
- Forks: 10
- Open Issues: 46
- Releases: 15
Metadata Files
README.md
VESIcal
A generalized python library for calculating and plotting various things related to mixed volatile (H2O-CO2) solubility in silicate melts.
Documentation
Check here first for all your VESIcal questions! And be sure to read the manuscripts.
- Read all of our documentation, inlcuding quickstart guides here: https://vesical.readthedocs.io/en/latest/
- Check our our YouTube channel for videos on how to use VESIcal here: https://www.youtube.com/channel/UCpvCCs5KMXzOxXWm0seF8Qw
Interactive versions of manuscripts
- Curvenote/AGU Notebooks Now! implementation of VESIcal Part I manuscript: Manuscript on Curvenote
- Direct link to interactive jupyter notebook version of VESIcal Part I manuscript: Manuscript on Binder
- Jupyter Notebook hub with VESIcal:
PDF versions of manuscripts
- VESIcal Part I: An Open-Source Thermodynamic Model Engine for Mixed Volatile (H2O-CO2) Solubility in Silicate Melts
- VESIcal Part II: A critical approach to volatile solubility modelling using an open-source Python3 engine
Installation and online use
In general, VESIcal can be accessed and used in a variety of ways. From most flexible (advanced) to least flexible (novice), these are:
- local installation of the VESIcal library
- through the ENKI server (recommended for most users)
- through a jupyter notebook version of the VESIcal manuscript.
- via the web-app https://vesical.anvil.app/
VESIcal on the ENKI server
VESIcal requires installation of not only the VESIcal library but also some other python libraries, one of which is a bit tricky to install (ENKI/thermoengine aka the engine behind MELTS). But, we have a solution! All dependencies and the latest version of VESIcal are all installed on the ENKI server, within a Jupyter Notebook Hub. Steps to use VESIcal on the ENKI server are:
- Create a (free) GitLab account, which you'll use to sign into ENKI here: https://gitlab.com/users/sign_up
- Email ENKI PI Mark Ghiorso at ghiorso@ofm-research.org with your GitLab username and requet access to the ENKI server.
- Access the ENKI Production Server by going to http://enki-portal.org/ and clicking "SERVERS" > "PRODUCTION SERVER"
- Sign in with your GitLab credentials: You are now in your own jupyter notebook workspace! You can upload and create files here. They won't be accessible to anyone else.
- Click the green "CLOSE THIS SCREEN" button
- Create a new notebook by clicking the blue plus button and then selecting Python3 under Notebook. Or select from the menu File > New > Notebook
- Be sure to import VESIcal as v at the top of your file, and now you are ready to get to work!
See video tutorials on our ReadTheDocs page for more.
Installing locally
Important! Thermoengine must be installed! Please see below for details on how to install thermoengine, the python implementation of MELTS/MagmaSat
First, obtain Python3.x if you do not already have it installed. If you are new to python, we recommend installing it via anaconda3. VESIcal can be installed with one line. Open a terminal and type the following:
pip install VESIcal
Check that the installation worked by entering the following lines into a terminal:
python
import VESIcal as v
If no output is returned, VESIcal has installed properly! You will very likely, however, see a warning telling you that no module named 'thermoengine' could be found. The installation you performed via pip attempts to install all dependencies (other libraries that VESIcal requires), but thermoengine is not available via pip and so must be manually installed.
Dependencies that should automatically be installed for you are:
- pandas
- numpy
- matplotlib
- cycler
- abc
- scipy
- sys
- sympy
- copy
If any warnings related to these libraries appear, try installing them as you did VESIcal: with 'pip install [package]'.
Installing thermoengine
Thermoengine is the ENKI implementation of MELTS (MagmaSat), which is the default solubility model implemented in VESIcal. VESIcal cannot be run without thermoengine at this time, however a VESIcal-lite that does not include MagmaSat is planned. To install thermoengine, please refer to the ENKI documentation here: https://gitlab.com/ENKI-portal/ThermoEngine.
In almost all cases you will need to install thermoengine using docker. The thermoengine devs have kindly put together a docker image for you. We suggest you follow those instructions here: https://gitlab.com/ENKI-portal/ThermoEngine/-/tree/master/#running-a-container-image-locally.
Updating
To upgrade to the most recent version of VESIcal, type the following into terminal:
pip install VESIcal --upgrade
Contributing
Issues are tracked on GitHub.
Patches may be submitted via a Github pull request. All changes should include tests (VESIcal uses python's unittest library) and pass flake8.
Owner
- Name: Kayla i
- Login: kaylai
- Kind: user
- Website: http://www.kaylaiacovino.com
- Twitter: kaylai
- Repositories: 8
- Profile: https://github.com/kaylai
Professional magma maker
CodeMeta (codemeta.json)
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"license": "https://spdx.org/licenses/MIT",
"codeRepository": "https://github.com/kaylai/VESIcal",
"dateCreated": "2021-06-22",
"datePublished": "2021-06-22",
"dateModified": "2021-06-22",
"downloadUrl": "https://github.com/kaylai/VESIcal",
"name": "VESIcal",
"version": "1.0.1",
"identifier": "10.5281/zenodo.4914503",
"description": "A generalized python library for calculating and plotting various things related to mixed volatile (H2O-CO2) solubility in silicate melts.",
"applicationCategory": "Geology",
"referencePublication": "https://doi.org/10.1029/2020EA001584",
"keywords": [
"volatile solubility",
"volcanology",
"petrology",
"igneous"
],
"programmingLanguage": [
"Python 3"
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"relatedLink": [
"https://vesical.readthedocs.io/en/latest/"
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"givenName": "Kayla",
"familyName": "Iacovino",
"email": "kayla.iacovino@nasa.gov",
"affiliation": {
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"name": "Jacobs, NASA Johnson Space Center"
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GitHub Events
Total
- Issues event: 12
- Watch event: 6
- Issue comment event: 4
- Push event: 6
- Pull request event: 1
- Fork event: 1
- Create event: 2
Last Year
- Issues event: 12
- Watch event: 6
- Issue comment event: 4
- Push event: 6
- Pull request event: 1
- Fork event: 1
- Create event: 2
Committers
Last synced: about 3 years ago
All Time
- Total Commits: 677
- Total Committers: 6
- Avg Commits per committer: 112.833
- Development Distribution Score (DDS): 0.403
Top Committers
| Name | Commits | |
|---|---|---|
| Kayla Iacovino | k****o@g****m | 404 |
| Simon Matthews | s****s@g****m | 170 |
| PennyWieser | 6****r@u****m | 53 |
| Kayla i | c****a@g****m | 45 |
| Bob Myhill | m****b@g****m | 4 |
| TDGerve | t****e@g****m | 1 |
Issues and Pull Requests
Last synced: 7 months ago
All Time
- Total issues: 117
- Total pull requests: 19
- Average time to close issues: 2 months
- Average time to close pull requests: about 1 month
- Total issue authors: 5
- Total pull request authors: 7
- Average comments per issue: 3.0
- Average comments per pull request: 1.05
- Merged pull requests: 12
- Bot issues: 0
- Bot pull requests: 3
Past Year
- Issues: 11
- Pull requests: 1
- Average time to close issues: about 2 hours
- Average time to close pull requests: N/A
- Issue authors: 1
- Pull request authors: 1
- Average comments per issue: 0.09
- Average comments per pull request: 0.0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- kaylai (65)
- PennyWieser (32)
- simonwmatthews (16)
- fboschetty (3)
- lvanderlaat (1)
Pull Request Authors
- kaylai (16)
- dependabot[bot] (4)
- PennyWieser (2)
- simonwmatthews (2)
- JetForMe (1)
- bobmyhill (1)
- TDGerve (1)
Top Labels
Issue Labels
Pull Request Labels
Packages
- Total packages: 2
-
Total downloads:
- pypi 93 last-month
-
Total dependent packages: 0
(may contain duplicates) -
Total dependent repositories: 2
(may contain duplicates) - Total versions: 37
- Total maintainers: 2
pypi.org: vesical
A generalized python library for calculating and plotting various things related to mixed volatile (H2O-CO2) solubility in silicate melts.
- Homepage: https://github.com/kaylai/VESIcal
- Documentation: https://vesical.readthedocs.io/
- License: MIT License
-
Latest release: 1.2.10
published almost 2 years ago
Rankings
Maintainers (2)
pypi.org: vesical-kaylai
A generalized python library for calculating and plotting various things related to mixed volatile (H2O-CO2) solubility in silicate melts.
- Homepage: https://github.com/kaylai/VESIcal
- Documentation: https://vesical-kaylai.readthedocs.io/
- License: MIT License
-
Latest release: 0.1.0
published over 5 years ago
Rankings
Maintainers (1)
Dependencies
- matplotlib *
- numpy *
- openpyxl *
- pandas *
- scipy *
- sympy *
- matplotlib *
- matplotlib *
- numpy *
- openpyxl *
- pandas *
- scipy *
- sympy *
- matplotlib *
- ipykernel *
- ipynb *
- matplotlib *
- mock *
- nbsphinx *
- numpy *
- pandas *
- scipy *
- sphinx >=1.4
- sphinx_rtd_theme *
- sympy *
- matplotlib >=3.3.4
- numpy >=1.21
- openpyxl >=1.1.0
- pandas >=1.2.3
- scipy >=1.6.1
- sympy >=1.7.1