https://github.com/codecentric-oss/niceml
niceML 🍦 is a Python-based MLOps framework designed to streamline the development and maintenance of machine learning projects, offering efficient and scalable pipelines using TensorFlow and Dagster.
https://github.com/codecentric-oss/niceml
Keywords
dagster deep-learning image-classification machine-learning mlops object-detection python semantic-segmentation tensorflow
Last synced: 11 months ago
JSON representation
Acceptance Criteria
- Revelant topics? true
- External users? true
- Open source license? true
- Active? true
- Fork? false
Repository metadata
niceML 🍦 is a Python-based MLOps framework designed to streamline the development and maintenance of machine learning projects, offering efficient and scalable pipelines using TensorFlow and Dagster.
- Host: GitHub
- URL: https://github.com/codecentric-oss/niceml
- Owner: codecentric-oss
- License: mit
- Created: 2023-04-19T07:39:11.000Z (about 2 years ago)
- Default Branch: main
- Last Pushed: 2024-05-15T09:28:51.000Z (12 months ago)
- Last Synced: 2024-05-16T17:25:41.578Z (12 months ago)
- Topics: dagster, deep-learning, image-classification, machine-learning, mlops, object-detection, python, semantic-segmentation, tensorflow
- Language: Python
- Homepage: https://niceml.io/
- Size: 30.2 MB
- Stars: 36
- Watchers: 3
- Forks: 2
- Open Issues: 12
- Releases: 0
-
Metadata Files:
- Readme: README.md
- Changelog: CHANGELOG.md
- License: LICENSE
- Code of conduct: CODE_OF_CONDUCT.md
Owner metadata
- Name: codecentric-oss
- Login: codecentric-oss
- Email:
- Kind: organization
- Description:
- Website:
- Location:
- Twitter:
- Company:
- Icon url: https://avatars.githubusercontent.com/u/131243079?v=4
- Repositories: 1
- Last ynced at: 2023-04-25T15:42:51.410Z
- Profile URL: https://github.com/codecentric-oss
GitHub Events
Total
- Create event: 108
- Issues event: 28
- Release event: 25
- Watch event: 38
- Delete event: 76
- Issue comment event: 20
- Member event: 4
- Push event: 384
- Pull request review comment event: 193
- Pull request review event: 247
- Pull request event: 161
- Fork event: 2
Last Year
- Create event: 108
- Delete event: 76
- Fork event: 2
- Issue comment event: 20
- Issues event: 28
- Member event: 4
- Pull request event: 161
- Pull request review comment event: 193
- Pull request review event: 247
- Push event: 384
- Release event: 25
- Watch event: 38
Issue and Pull Request metadata
Last synced: 12 months ago
Total issues: 21
Total pull requests: 85
Average time to close issues: 21 days
Average time to close pull requests: 2 days
Total issue authors: 4
Total pull request authors: 6
Average comments per issue: 0.48
Average comments per pull request: 0.11
Merged pull request: 82
Bot issues: 0
Bot pull requests: 0
Past year issues: 19
Past year pull requests: 71
Past year average time to close issues: 21 days
Past year average time to close pull requests: 2 days
Past year issue authors: 4
Past year pull request authors: 5
Past year average comments per issue: 0.47
Past year average comments per pull request: 0.1
Past year merged pull request: 69
Past year bot issues: 0
Past year bot pull requests: 0
Top Issue Authors
- aiakide (16)
- ankeko (3)
- benjaminbauer (1)
- dstalzjohn (1)
Top Pull Request Authors
- aiakide (39)
- ankeko (24)
- dstalzjohn (17)
- pasocodes (3)
- TimoSchadt (1)
- TimothyBorrell (1)
Top Issue Labels
- 🪲 bug (15)
- 📋 needs review (14)
- ✨ feature (6)
- ♻️ refactoring (4)
- ⚙️ configuration (4)
- 🔧 enhancement (3)
- 📚 documentation (2)
- 💡 idea (2)
- 🧪 testing (2)
- 🚨 high priority (2)
- 🎨 UI/UX (1)
- 🌀 cleanup (1)
- 💪 good first issue (1)
- 🔒 security (1)
Top Pull Request Labels
- 🪲 bug (46)
- ✨ feature (23)
- 🔧 enhancement (22)
- 📚 documentation (16)
- ♻️ refactoring (13)
- 📋 needs review (12)
- 🧪 testing (8)
- 🚨 high priority (7)
- ⚙️ configuration (7)
- 🔒 security (5)
- 🌀 cleanup (4)
- 🎨 UI/UX (3)
- ✅ completed (2)
- ⚡️ performance (1)
Package metadata
- Total packages: 1
-
Total downloads:
- pypi: 431 last-month
- Total dependent packages: 0
- Total dependent repositories: 0
- Total versions: 25
- Total maintainers: 3
pypi.org: niceml
Welcome to niceML 🍦, a Python-based MLOps framework that uses TensorFlow and Dagster. This framework streamlines the development, and maintenance of machine learning models, providing an end-to-end solution for building efficient and scalable pipelines.
- Homepage:
- Documentation: https://niceml.readthedocs.io/
- Licenses: MIT License
- Latest release: 0.15.0 (published 12 months ago)
- Last Synced: 2024-05-15T19:41:14.534Z (12 months ago)
- Versions: 25
- Dependent Packages: 0
- Dependent Repositories: 0
- Downloads: 431 Last month
-
Rankings:
- Dependent packages count: 7.167%
- Average: 20.261%
- Dependent repos count: 33.355%
- Maintainers (3)
Dependencies
- abatilo/actions-poetry v2.0.0 composite
- actions/cache v2 composite
- actions/checkout v3 composite
- actions/setup-python v4 composite
- abatilo/actions-poetry v2.0.0 composite
- actions/checkout v3 composite
- actions/setup-python v4 composite
- actions/upload-artifact v3 composite
- nuhrberg/pytest-summary main composite
- abatilo/actions-poetry v2.0.0 composite
- actions/checkout v3 composite
- actions/setup-python v4 composite
- 253 dependencies
- albumentations ^1.3.0
- altair ^4.2.2
- cattrs ^22.2.0
- click ^8.1.3
- copier ^7.2.0
- cryptography ^41.0.0
- cython ^0.29.34
- dagit ^1.3.3
- dagster ~1.4
- dagster-mlflow ^0.20.14
- fastparquet ^2023.2.0
- hydra-core ^1.3.2
- invoke >=1.4.1,<2
- isodate ^0.6.1
- mkdocs-gen-files ^0.5.0
- networkx ^3.1
- opencv-python ^4.7.0.72
- pandas 1.5.0
- pandera ^0.14.5
- pillow ^9.5.0
- protobuf ^3.0.0
- pympler ^1.0.1
- python >=3.8,<3.9.7 || >3.9.7,<3.11
- python-dotenv ^1.0.0
- pyyaml ^6.0
- requests ^2.31.0
- schema ^0.7.5
- scikit-learn ^1.2.2
- scipy >=1.8
- streamlit ^1.22.0
- tensorflow ~2.12
- tensorflow-macos ~2.12
- tensorflow-metal ~1.0
- toml ^0.10.2
- tornado ^6.3.2
Score: -Infinity