https://github.com/pawel-kranzberg/hazyhorizon
Science Score: 26.0%
This score indicates how likely this project is to be science-related based on various indicators:
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○CITATION.cff file
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✓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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○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 (10.8%) to scientific vocabulary
Repository
Basic Info
- Host: GitHub
- Owner: Pawel-Kranzberg
- License: apache-2.0
- Language: Python
- Default Branch: main
- Size: 113 KB
Statistics
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
- Releases: 0
Metadata Files
README.md
Hazy Horizon
Non-paradigmatic support for time series processing and forecasting. Since prediction is very difficult, especially if it is about the future.
⚠️ Development Status
The current state remains a work in progress, with ongoing developments anticipated. Do not expect anything to work correctly at this stage.
🚀 Installation
From PyPI (Recommended)
bash
pip install hazyhorizon
Using uv
bash
uv add hazyhorizon
From Source
bash
git clone https://github.com/Pawel-Kranzberg/hazyhorizon.git
cd hazyhorizon
pip install -e .
📋 Requirements
- Python >= 3.11
- scipy >= 1.15.2
- scikit-learn >= 1.6.1
🎯 Features
- Time series processing utilities
- Forecasting support (in development)
- Non-paradigmatic approach to prediction
- Integration with scipy and scikit-learn
📖 Usage
```python import hazyhorizon
More documentation coming soon...
```
🤝 Contributing
Contributions are welcome! Please feel free to submit a Pull Request.
📄 License
This project is licensed under the Apache License 2.0 - see the LICENSE file for details.
🔗 Links
Owner
- Name: Pawel Kranzberg
- Login: Pawel-Kranzberg
- Kind: user
- Location: Warsaw, Poland
- Company: Kranzberg & Company
- Website: www.kranzberg.co
- Twitter: PawelKranzberg
- Repositories: 4
- Profile: https://github.com/Pawel-Kranzberg
GitHub Events
Total
- Push event: 2
- Create event: 1
Last Year
- Push event: 2
- Create event: 1
Packages
- Total packages: 1
- Total downloads: unknown
- Total dependent packages: 0
- Total dependent repositories: 0
- Total versions: 1
- Total maintainers: 1
pypi.org: hazyhorizon
Non-paradigmatic support for time series processing and forecasting
- Homepage: https://github.com/Pawel-Kranzberg/hazyhorizon
- Documentation: https://hazyhorizon.readthedocs.io/
- License: Apache-2.0
-
Latest release: 0.1.0
published 12 months ago
Rankings
Maintainers (1)
Dependencies
- actions/checkout v4 composite
- actions/setup-python v4 composite
- astral-sh/setup-uv v3 composite
- actions/checkout v4 composite
- actions/download-artifact v4 composite
- actions/setup-python v4 composite
- actions/upload-artifact v4 composite
- astral-sh/setup-uv v3 composite
- pypa/gh-action-pypi-publish release/v1 composite
- backports-tarfile 1.2.0
- build 1.2.2.post1
- certifi 2025.7.14
- cffi 1.17.1
- charset-normalizer 3.4.2
- colorama 0.4.6
- cryptography 45.0.5
- docutils 0.21.2
- hazyhorizon 0.1.0
- id 1.5.0
- idna 3.10
- importlib-metadata 8.7.0
- jaraco-classes 3.4.0
- jaraco-context 6.0.1
- jaraco-functools 4.2.1
- jeepney 0.9.0
- joblib 1.5.1
- keyring 25.6.0
- markdown-it-py 3.0.0
- mdurl 0.1.2
- more-itertools 10.7.0
- nh3 0.2.21
- numpy 2.3.1
- packaging 25.0
- pycparser 2.22
- pygments 2.19.2
- pyproject-hooks 1.2.0
- pywin32-ctypes 0.2.3
- readme-renderer 44.0
- requests 2.32.4
- requests-toolbelt 1.0.0
- rfc3986 2.0.0
- rich 14.0.0
- scikit-learn 1.7.0
- scipy 1.16.0
- secretstorage 3.3.3
- threadpoolctl 3.6.0
- twine 6.1.0
- urllib3 2.5.0
- zipp 3.23.0