Science Score: 44.0%
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
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○Committers with academic emails
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (4.6%) to scientific vocabulary
Repository
the HomemAde FramEwoRk for Machine Learning
Basic Info
- Host: GitHub
- Owner: emptymalei
- License: mit
- Language: Python
- Default Branch: main
- Homepage: https://haferml.leima.is
- Size: 685 KB
Statistics
- Stars: 11
- Watchers: 2
- Forks: 2
- Open Issues: 2
- Releases: 5
Metadata Files
README.md
Hafer ML
The HomemAde FramEwoRk for Machine Learning (HAFER ML) is a minimal and unambitious framework for your machine learning projects, with reproducibility in mind.
Hafer is oat in German.
Install
pip install haferml
This will leave out many dependencies. To install all,
pip install "haferml[all]"
The extras options:
all: everythingaws: required if one needs AWSdocs: required to build the docs
The Idea
The Hafer ML frameworks is designed to be a minimal framework for data scientists. Hafer ML uses config files and saves the artifacts at every step for reproducibility.

Owner
- Name: LM
- Login: emptymalei
- Kind: user
- Location: Germany
- Company: @zalando
- Website: https://leima.is
- Repositories: 147
- Profile: https://github.com/emptymalei
I build ML models in Germany. Applied Scientist, PhD in Physics. Worked on neutrino physics, cosmology, spiking neuron models, interplanetary immigration (scif
Citation (CITATION.cff)
cff-version: 1.2.0 message: "If you use this software, please cite it as below." authors: - family-names: "Ma" given-names: "Lei" orcid: "https://orcid.org/0000-0002-9726-180X" title: "HaferML" version: 2.0.4 date-released: 2021-04-28 url: "https://github.com/emptymalei/haferml"
GitHub Events
Total
- Release event: 1
- Delete event: 1
- Push event: 4
- Pull request event: 2
- Create event: 1
Last Year
- Release event: 1
- Delete event: 1
- Push event: 4
- Pull request event: 2
- Create event: 1
Committers
Last synced: 10 months ago
Top Committers
| Name | Commits | |
|---|---|---|
| LM | hi@l****s | 56 |
Committer Domains (Top 20 + Academic)
Issues and Pull Requests
Last synced: 8 months ago
All Time
- Total issues: 5
- Total pull requests: 14
- Average time to close issues: 2 days
- Average time to close pull requests: about 1 hour
- Total issue authors: 1
- Total pull request authors: 1
- Average comments per issue: 0.4
- Average comments per pull request: 0.14
- Merged pull requests: 12
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 0
- Pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Issue authors: 0
- Pull request authors: 0
- Average comments per issue: 0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- emptymalei (3)
Pull Request Authors
- emptymalei (9)
Top Labels
Issue Labels
Pull Request Labels
Packages
- Total packages: 2
-
Total downloads:
- pypi 99 last-month
-
Total dependent packages: 0
(may contain duplicates) -
Total dependent repositories: 2
(may contain duplicates) - Total versions: 13
- Total maintainers: 1
pypi.org: haferml
HAFER ML, the homemade framework for machine learning.
- Homepage: https://github.com/emptymalei/haferml
- Documentation: https://haferml.readthedocs.io/
- License: MIT
-
Latest release: 0.0.13
published almost 5 years ago
Rankings
Maintainers (1)
pypi.org: hafer
HAFER ML, the homemade framework for machine learning
- Homepage: https://github.com/emptymalei/haferml
- Documentation: https://hafer.readthedocs.io/
- License: MIT
-
Latest release: 0.0.1
published almost 5 years ago
Rankings
Maintainers (1)
Dependencies
- awscli >=1.19.50
- boto3 >=1.17.51
- mkdocs-autorefs >=0.1.1
- mkdocs-material >=0.4.4
- mkdocstrings >=0.15.0
- nose *
- click >=7.1.2
- inquirer >=2.7.0
- joblib >=1.0.1
- loguru >=0.5.3
- pandas >=1.2.0
- scipy >=1.2.1
- simplejson >=3.17.2
- actions/checkout v2 composite
- actions/setup-python v2 composite
- actions/checkout v2 composite
- actions/setup-python v2 composite
- pypa/gh-action-pypi-publish release/v1 composite
- actions/checkout v2 composite
- actions/setup-python v2 composite