Science Score: 64.0%
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
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✓Academic publication links
Links to: arxiv.org -
✓Committers with academic emails
2 of 13 committers (15.4%) from academic institutions -
○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (10.8%) to scientific vocabulary
Keywords
Keywords from Contributors
Repository
Python library for pedagogical auto-assessment
Basic Info
- Host: GitHub
- Owner: microsoft
- License: mit
- Language: Python
- Default Branch: main
- Homepage: https://microsoft.github.io/pybryt
- Size: 1.75 MB
Statistics
- Stars: 66
- Watchers: 6
- Forks: 18
- Open Issues: 3
- Releases: 22
Topics
Metadata Files
README.md
PyBryt - Python Library
PyBryt is an auto-assessment Python library for teaching and learning.
- The PyBryt Library is a FREE Open Source Python Library that provides auto assessment of grading submissions. Our goal is to empower students and educators to learn about technology through fun, guided, hands-on content aimed at specific learning goals.
- The PyBryt Library is a Open Source Python Library - focused on the auto assessment and validation of Python coding.
- The PyBryt library has been developed under open source to support learning and training institutions to auto assess the work completed by learners.
- The PyBryt Library will work existing auto grading solution such as Otter Grader, OkPy or Autolab.
Features
Educators and Institutions can leverage the PyBryt Library to integrate auto assessment and reference models to hands on labs and assessments.
- Educators do not have to enforce the structure of the solution;
- Learner practice the design process,code design and implemented solution;
- Meaningful & pedagogical feedback to the learners;
- Analysis of complexity within the learners solution;
- Plagiarism detection and support for reference solutions;
- Easy integration into existing organizational or institutional grading infrastructure.
Getting Started
See the Getting Started page on the pybryt documentation for steps to install and use pybryt for the first time. You can also check the Microsoft Learn interactive modules on Introductions to PyBryt and Advanced PyBryt to learn more about to use the library to autoassess your learners activities.
Testing
To run the demos, all demos are located in the demo folder.
First install PyBryt with pip:
pip install pybryt
Simply launch the index.ipynb notebook in each of the directories under demo from Jupyter Notebook, which demonstrates the process of using PyBryt to assess student submissions.
Technical Report
We continuously interact with computerized systems to achieve goals and perform tasks in our personal and professional lives. Therefore, the ability to program such systems is a skill needed by everyone. Consequently, computational thinking skills are essential for everyone, which creates a challenge for the educational system to teach these skills at scale and allow students to practice these skills. To address this challenge, we present a novel approach to providing formative feedback to students on programming assignments. Our approach uses dynamic evaluation to trace intermediate results generated by student's code and compares them to the reference implementation provided by their teachers. We have implemented this method as a Python library and demonstrate its use to give students relevant feedback on their work while allowing teachers to challenge their students' computational thinking skills. Paper available at PyBryt: auto-assessment and auto-grading for computational thinking
Citing Technical Report
bibtex
@misc{pyles2021pybryt,
title={PyBryt: auto-assessment and auto-grading for computational thinking},
author={Christopher Pyles and Francois van Schalkwyk and Gerard J. Gorman and Marijan Beg and Lee Stott and Nir Levy and Ran Gilad-Bachrach},
year={2021},
eprint={2112.02144},
archivePrefix={arXiv},
primaryClass={cs.HC}
}
Citing of Codebase
Please use the citing this repositry on the repo menu or citation.cff file in the root of this repo.
Contributing
This project welcomes contributions and suggestions. Most contributions require you to agree to a Contributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us the rights to use your contribution. For details, visit https://cla.opensource.microsoft.com.
When you submit a pull request, a CLA bot will automatically determine whether you need to provide a CLA and decorate the PR appropriately (e.g., status check, comment). Simply follow the instructions provided by the bot. You will only need to do this once across all repos using our CLA.
This project has adopted the Microsoft Open Source Code of Conduct. For more information see the Code of Conduct FAQ or contact opencode@microsoft.com with any additional questions or comments.
Trademarks
This project may contain trademarks or logos for projects, products, or services. Authorized use of Microsoft trademarks or logos is subject to and must follow Microsoft's Trademark & Brand Guidelines. Use of Microsoft trademarks or logos in modified versions of this project must not cause confusion or imply Microsoft sponsorship. Any use of third-party trademarks or logos are subject to those third-party's policies.
Owner
- Name: Microsoft
- Login: microsoft
- Kind: organization
- Email: opensource@microsoft.com
- Location: Redmond, WA
- Website: https://opensource.microsoft.com
- Twitter: OpenAtMicrosoft
- Repositories: 7,257
- Profile: https://github.com/microsoft
Open source projects and samples from Microsoft
Citation (CITATION.cff)
cff-version: 1.2.0 message: "If you use this software, please cite it as below." authors: - family-names: "Stott" given-names: "Lee" orcid: "https://orcid.org/0000-0002-3715-0892" - family-names: "Gilad-Bachrach" given-names: "Ran" orcid: "https://orcid.org/0000-0002-4001-8307" - family-names: Pyles given-names: Christopher orcid: "https://orcid.org/0000-0001-8520-7593" - family-names: "Beg" given-names: "Marijan" orcid: "https://orcid.org/0000-0002-6670-3994" - family-names: "Levy" given-names: "Nir" orcid: "https://orcid.org/0000-0002-4256-4934" - family-names: "Gorman" given-names: "Gerard John" orcid: "https://orcid.org/0000-0003-0563-3678" - family-names: "Percival" given-names: "James Robert" orcid: "https://orcid.org/0000-0002-6556-0055" - family-names: "Rhodri" given-names: "Nelson" orcid: "https://orcid.org/0000-0003-2768-5735" title: "Pybryt - Python library for pedagogical auto-assessment" version: 0.7.0 date-released: 2022-04-28 url: "https://github.com/microsoft/pybryt"
GitHub Events
Total
- Watch event: 6
Last Year
- Watch event: 6
Committers
Last synced: about 1 year ago
Top Committers
| Name | Commits | |
|---|---|---|
| Chris Pyles | c****s@b****u | 440 |
| Chris Pyles | 4****s | 67 |
| Lee Stott | l****t@m****m | 34 |
| github-actions | 4****] | 19 |
| Marijan Beg | m****g@i****k | 17 |
| Anthony Shaw | a****w@g****m | 10 |
| Nir Levy | n****y@m****m | 10 |
| nir-levy | n****y@n****m | 8 |
| Microsoft Open Source | m****e | 5 |
| root | r****t@D****n | 2 |
| Mark Patterson | 3****7 | 1 |
| Ran Gilad-Bachrach | 1****b | 1 |
| microsoft-github-operations[bot] | 5****] | 1 |
Committer Domains (Top 20 + Academic)
Issues and Pull Requests
Last synced: 5 months ago
All Time
- Total issues: 37
- Total pull requests: 64
- Average time to close issues: about 2 months
- Average time to close pull requests: 2 days
- Total issue authors: 6
- Total pull request authors: 7
- Average comments per issue: 0.62
- Average comments per pull request: 0.88
- Merged pull requests: 63
- Bot issues: 1
- Bot pull requests: 12
Past Year
- Issues: 1
- Pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Issue authors: 1
- Pull request authors: 0
- Average comments per issue: 0.0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 1
- Bot pull requests: 0
Top Authors
Issue Authors
- chrispyles (25)
- marijanbeg (7)
- ranigb (2)
- microsoft-github-policy-service[bot] (1)
- muzzahmed (1)
- leestott (1)
Pull Request Authors
- chrispyles (41)
- github-actions[bot] (12)
- leestott (4)
- tonybaloney (3)
- marijanbeg (2)
- markpatterson27 (1)
- ranigb (1)
Top Labels
Issue Labels
Pull Request Labels
Packages
- Total packages: 1
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Total downloads:
- pypi 249 last-month
- Total docker downloads: 157
- Total dependent packages: 1
- Total dependent repositories: 17
- Total versions: 24
- Total maintainers: 2
pypi.org: pybryt
Python auto-assessment library
- Homepage: https://github.com/microsoft/pybryt
- Documentation: https://pybryt.readthedocs.io/
- License: MIT
-
Latest release: 0.7.0
published over 3 years ago
Rankings
Maintainers (2)
Dependencies
- furo *
- nbsphinx *
- sphinx-argparse *
- sphinx-click *
- sphinxcontrib-apidoc *
- Cython *
- IPython *
- astunparse *
- click *
- dill *
- ipykernel *
- nbconvert *
- nbformat *
- numpy *
- pandas *
- actions/checkout v2 composite
- actions/setup-python v2 composite
- actions/checkout v2 composite
- actions/setup-python v2 composite
- actions/checkout v2 composite
- actions/setup-python v2 composite
- pip
- python 3.8.*