omegaml / omegaml
MLOps simplified. One-stop AI delivery platform, all the features you need.
Why this job: topics: tensorflow, scikit-learn, machine-learning, pytorch
What it does
Jupyter Notebook is immediately available at http://localhost:8899 (omegamlisfun to login). Any notebook you create will automatically be stored in the integrated omega-ml database, making collaboration a breeze. The REST API is available at http://localhost:5000.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 30 days ago
- Stars
- 109
- On GitHub
- Licence
- Apache-2.0
- Allows business use
- Downloads for
- None listed
- No release files
- Latest tag
- release/0.18.0
- Released 11 months ago
- Built with
- Python
- 52% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 46% closed
- 81 still open
- Pull requests
- 410 merged
- 14 waiting
- Releases
- 31
- 1 in the last year
- Contributing guide (opens in new tab)
- Security policy (opens in new tab)
- No code of conduct
Similar repos
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|---|---|---|---|---|
| keras-team / keras | 64,420 | today | Apache-2.0 | No downloads |
| ageron / handson-ml | 25,610 | 5 months ago | Apache-2.0 | No downloads |
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More: languages, topics and project record
Languages
- Python 52%
- JavaScript 29%
- CSS 12%
- HTML 6%
Topics
- ai
- artificial-intelligence
- celery
- data-science
- deploy
- docker-image
- genai
- jupyter-notebook
- machine-learning
- mlops
- productized
- pytorch
Project record
- JobAI libraries and models
- StatusListed
- Commits735
- Forks16
- Watching5
- Stars in 28 days+1
- CreatedDec 10, 2018
- First seen by usNov 7, 2026
- CheckedNov 8, 2026
