quantbelt / jupyter-quant
A dockerized Jupyter quant research environment.
Why this job: works in the areas we cover, but does not say which job it does
What it does
- It can be used as a docker image or pypi package.
- Includes tools for quant analysis, statsmodels, pymc, arch, py_vollib,
- The usual suspects are included, numpy, pandas, sci-py, scikit-learn,
- ib_async for Interactive Broker
- Includes all major Python packages for statistical and time series analysis,
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit today
- Stars
- 247
- On GitHub
- Licence
- Apache-2.0
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- v2611.1
- Released 6 days ago
- Built with
- Shell
- 52% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 98% closed
- 1 still open
- Pull requests
- 685 merged
- 9 waiting
- Releases
- 42
- 5 in the last year
- No contributing guide
- Security policy (opens in new tab)
- No code of conduct
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More: languages, topics and project record
Languages
- Shell 52%
- Dockerfile 45%
- Python 3%
Topics
- ai
- machine-learning
- quant-trading
- quantitative-analysis
- quantitative-trading
- trading-strategies
Project record
- JobOther AI tools
- StatusListed
- Commits355
- Forks30
- Watching4
- Stars in 28 days0
- CreatedAug 26, 2023
- First seen by usNov 7, 2026
- CheckedNov 12, 2026