fair_course
Science Score: 67.0%
This score indicates how likely this project is to be science-related based on various indicators:
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✓CITATION.cff file
Found CITATION.cff file -
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
✓DOI references
Found 1 DOI reference(s) in README -
✓Academic publication links
Links to: zenodo.org -
○Academic email domains
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (18.0%) to scientific vocabulary
Repository
Basic Info
- Host: GitHub
- Owner: ThWacker
- Language: Python
- Default Branch: main
- Size: 44.5 MB
Statistics
- Stars: 0
- Watchers: 1
- Forks: 2
- Open Issues: 0
- Releases: 2
Metadata Files
README.md
Spacewalks
Overview
Spacewalks is a Python analysis tool for researchers to generate visualisations and statistical summaries of NASA's extravehicular activity datasets.
Features
Key features of Spacewalks:
- Generates a CSV table of summary statistics of extravehicular activity crew sizes
- Generates a line plot to show the cumulative duration of space walks over time
Pre-requisites
Spacewalks was developed using Python version 3.12
To install and run Spacewalks you will need have Python >=3.12 installed. You will also need the following libraries (minimum versions in brackets)
- NumPy >=2.0.0 - Spacewalk's test suite uses NumPy's statistical functions
- Matplotlib >=3.0.0 - Spacewalks uses Matplotlib to make plots
- pytest >=8.2.0 - Spacewalks uses pytest for testing
- pandas >= 2.2.0 - Spacewalks uses pandas for data frame manipulation
Installation instructions
Clone the repository
bash
git clone https://github.com/ThWacker/FAIR_course.git
Navigate to the folder with the code
bash
cd astronaut-data-analysis-not-so-fair-main/
Create an environment and install all required dependencies
```bash
create environment
python3 -m venv my_env
activate environment
source my_env/bin/activate
install all dependencies
pip install -r requirements.txt ``` To ensure everything is working correctly, run the tests using pytest.
python
python3 -m pytest
Basic Usage
In the simplest case, you can just run:
bash
python3 eva_data_analysis.py
You can also explicitely define input and output files as positional arguments:
bash
python3 eva_data_analysis input.json output.csv
As an input, the .json in the data folder should be used, specifically that would be:
bash
python3 eva_data_analysis ./data/eva-data.json output.csv
License
MIT License
Copyright (c) [2024] [Theresa Wacker]
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
Owner
- Name: Theresa Wacker
- Login: ThWacker
- Kind: user
- Location: Exeter
- Company: MRC Center for Medical Mycology
- Twitter: theresa_wacker
- Repositories: 1
- Profile: https://github.com/ThWacker
Citation (CITATION.cff)
# This CITATION.cff file was generated with cffinit.
# Visit https://bit.ly/cffinit to generate yours today!
cff-version: 1.2.0
title: Spacewalks
message: >-
If you use this software, please cite it using the
metadata from this file.
type: software
authors:
- given-names: 'Theresa '
family-names: Wacker
email: t.wacker2@exeter.ac.uk
- given-names: Emma
family-names: Worthington
email: emma.worthington@noc.ac.uk
- given-names: Amber
family-names: Walsh
email: amber.walsh@noc.ac.uk
repository-code: 'https://github.com/ThWacker/FAIR_course'
keywords:
- Spacewalks Data
license: MIT
version: 1.0.1
identifiers:
- type: doi
- value: 10.5072/zenodo.137901
date-released: 2024-11-29
GitHub Events
Total
- Release event: 2
- Public event: 1
- Push event: 13
- Pull request review event: 1
- Pull request event: 5
- Create event: 3
Last Year
- Release event: 2
- Public event: 1
- Push event: 13
- Pull request review event: 1
- Pull request event: 5
- Create event: 3
Dependencies
- Jinja2 ==3.1.2
- Keras-Preprocessing ==1.1.2
- MacSyFinder ==2.1.3
- Markdown ==3.7
- MarkupSafe ==2.1.1
- NanoComp ==1.20.0
- NanoFilt ==2.8.0
- NanoLyse ==1.2.1
- NanoPlot ==1.41.0
- NanoStat ==1.6.0
- Pillow ==9.3.0
- PyYAML ==6.0
- Pygments ==2.17.2
- Python-Deprecated ==1.1.0
- Werkzeug ==2.1.0
- absl-py ==1.0.0
- astunparse ==1.6.3
- babel ==2.16.0
- bio ==1.6.2
- biopython ==1.84
- biothings-client ==0.3.1
- black ==24.10.0
- bokeh ==3.0.3
- cachetools ==5.0.0
- certifi ==2021.10.8
- cffi ==1.16.0
- chardet ==5.2.0
- charset-normalizer ==2.0.12
- click ==8.1.7
- colorama ==0.4.6
- colorlog ==6.8.2
- contourpy ==1.0.6
- coverage ==7.6.8
- cycler ==0.11.0
- einops ==0.8.0
- exceptiongroup ==1.2.2
- fair-esm ==2.0.0
- filelock ==3.16.0
- flatbuffers ==2.0
- fonttools ==4.38.0
- fsspec ==2024.9.0
- gast ==0.5.3
- ghp-import ==2.1.0
- google-auth ==2.6.2
- google-auth-oauthlib ==0.4.6
- google-pasta ==0.2.0
- gprofiler-official ==1.0.0
- griffe ==1.5.1
- grpcio ==1.44.0
- h5py ==3.6.0
- idna ==3.3
- importlib-metadata ==4.11.3
- iniconfig ==2.0.0
- joblib ==1.4.2
- kaleido ==0.2.1
- keras ==2.8.0
- kiwisolver ==1.4.4
- libclang ==13.0.0
- llvmlite ==0.43.0
- mappy ==2.24
- matplotlib ==3.6.2
- memory-profiler ==0.61.0
- mergedeep ==1.3.4
- mkdocs ==1.6.1
- mkdocs-autorefs ==1.2.0
- mkdocs-get-deps ==0.2.0
- mkdocs-material ==9.5.46
- mkdocs-material-extensions ==1.3.1
- mkdocstrings ==0.27.0
- mkdocstrings-python ==1.12.2
- mpmath ==1.3.0
- mygene ==3.2.2
- mypy-extensions ==1.0.0
- nanoQC ==0.9.4
- nanoget ==1.18.1
- nanomath ==1.2.1
- nanopack ==1.1.0
- networkx ==3.2.1
- numba ==0.60.0
- numpy ==1.22.3
- oauthlib ==3.2.0
- opt-einsum ==3.3.0
- packaging ==24.2
- paginate ==0.5.7
- pandas ==1.5.2
- pathspec ==0.12.1
- patsy ==0.5.3
- pep8 ==1.7.1
- platformdirs ==4.2.2
- plotly ==5.11.0
- pluggy ==1.5.0
- pooch ==1.8.2
- porechop ==0.2.4
- prompt-toolkit ==3.0.41
- protobuf ==5.28.0
- psrecord ==1.4
- psutil ==5.9.4
- pyarrow ==10.0.1
- pyasn1 ==0.4.8
- pyasn1-modules ==0.2.8
- pycparser ==2.21
- pymdown-extensions ==10.12
- pynndescent ==0.5.13
- pyparsing ==3.0.9
- pysam ==0.20.0
- pytest ==8.3.3
- pytest-cov ==6.0.0
- python-dateutil ==2.8.2
- pytz ==2022.7
- pyyaml_env_tag ==0.1
- quast ==5.2.0
- radian ==0.6.9
- rchitect ==0.4.4
- regex ==2024.11.6
- reportlab ==4.2.2
- requests ==2.27.1
- requests-oauthlib ==1.3.1
- rsa ==4.8
- scikit-learn ==1.5.1
- scipy ==1.9.3
- seaborn ==0.10.1
- simplejson ==3.19.3
- six ==1.16.0
- sympy ==1.13.2
- tenacity ==8.1.0
- tensorboard ==2.8.0
- tensorboard-data-server ==0.6.1
- tensorboard-plugin-wit ==1.8.1
- tensorboardX ==2.6.2.2
- tensorflow ==2.8.0
- tensorflow-io-gcs-filesystem ==0.24.0
- termcolor ==1.1.0
- tf-estimator-nightly ==2.8.0.dev2021122109
- threadpoolctl ==3.5.0
- tomli ==2.1.0
- torch ==2.2.2
- tornado ==6.2
- tqdm ==4.66.4
- typing_extensions ==4.12.2
- umap-learn ==0.5.6
- urllib3 ==1.26.9
- warmup-scheduler ==0.3
- watchdog ==6.0.0
- wcwidth ==0.2.12
- wrapt ==1.14.0
- xyzservices ==2022.9.0
- zipp ==3.7.0