Package Health Score

73 / 100

security
No known security issues
popularity
Small
maintenance
Sustainable
community
Active

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Popularity

Small

GitHub Stars: 56.18K
Forks: 1.41K
Contributors: 190

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package bilbyai-quant, we found that it has been starred 56,183 times.

Security

No known security issues

Security and license risk for latest version

Release Date: May 16, 2024
Direct Vulnerabilities: 0
C
0
H
0
M
0
L
Indirect Vulnerabilities: 0
C
0
H
0
M
0
L
License Risk: 0
H
0
M
0
L

All security vulnerabilities belong to production dependencies of direct and indirect packages.

License

MIT

Security Policy

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Maintenance

Sustainable

Commit Frequency

Open Issues: 192
Open PR: 32
Last Release: 7 months ago
Last Commit: 21 days ago

Further analysis of the maintenance status of bilbyai-quant based on released PyPI versions cadence, the repository activity, and other data points determined that its maintenance is Sustainable.

We found that bilbyai-quant demonstrates a positive version release cadence with at least one new version released in the past 12 months.

As a healthy sign for on-going project maintenance, we found that the GitHub repository had at least 1 pull request or issue interacted with by the community.

Community

Active

Readme: Yes
Contributing.md: Yes
Code of Conduct: No
Contributors: 190
Funding: Yes

A good and healthy external contribution signal for bilbyai-quant project, which invites more than one hundred open source maintainers to collaborate on the repository.

We found a way for you to contribute to the project! Looks like bilbyai-quant is missing a Code of Conduct.

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Package

Python Versions Compatibility: >=3.9

Age: 7 months
Latest Release: 7 months ago
Dependencies: 0 Direct
Versions: 1
Maintainers: 0
Wheels: OS Independent

Readme

quant

A Python package for quant research.

The project owner is @leetdavid.

Development

If not already in a virtual environement, create and use one. Read about it in the Python documentation: venv — Creation of virtual environments.

python3 -m venv .venv
source .venv/bin/activate

Install the pinned pip version:

pip install -r $(git rev-parse --show-toplevel)/pip-requirements.txt

Finally, install the dependencies:

pip install -r $(git rev-parse --show-toplevel)/dev-requirements.txt -r requirements.txt

Testing

Execute tests from the library's folder (after having loaded the virtual environment, see above) as follows:

python3 -m pytest tests/

Execute the library's CI locally with act as follows:

act -j ci-libs-quant

FAQs

What is bilbyai-quant?

A Python package for quant research. Visit Snyk Advisor to see a full health score report for bilbyai-quant, including popularity, security, maintenance & community analysis.

Is bilbyai-quant popular?

We’re still processing downloads data for the python package bilbyai-quant. Visit the popularity section on Snyk Advisor to see the full popularity analysis.

Is bilbyai-quant well maintained?

We found indications that bilbyai-quant maintenance is sustainable demonstrating some project activity. We saw a total of 190 open source contributors collaborating on the project. See the full package health analysis to learn more about the package maintenance status.

Is bilbyai-quant safe to use?

The python package bilbyai-quant was scanned for known vulnerabilities and missing license, and no issues were found. Thus the package was deemed as safe to use. See the full health analysis review.

Last updated on 16 December-2024, at 09:02 (UTC).

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bilbyai-quant

A Python package for quant research. For more information about how to use this package see README

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Package Health Score

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Package

Readme

quant

Development

Testing

FAQs

What is bilbyai-quant?

Is bilbyai-quant popular?

Is bilbyai-quant well maintained?

Is bilbyai-quant safe to use?

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Package Health Score

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Direct Usage Popularity

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Commit Frequency

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Readme

quant

Development

Testing

FAQs

What is bilbyai-quant?

Is bilbyai-quant popular?

Is bilbyai-quant well maintained?

Is bilbyai-quant safe to use?

Build a secure application checklist

Select a recommended open source package

Scan your app for vulnerabilities

Source Code

Open Source

Container

Config

Fix identified vulnerabilities

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