Package Health Score

74 / 100

security
No known security issues
popularity
Recognized
maintenance
Healthy
community
Sustainable

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scrivener
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Popularity

Recognized

GitHub Stars: 724
Forks: 105
Contributors: 30

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package dabl, we found that it has been starred 724 times.

Security

No known security issues

Security and license risk for latest version

Release Date: Aug 7, 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

BSD-3-Clause

Security Policy

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Maintenance

Healthy

Commit Frequency

Open Issues: 76
Open PR: 13
Last Release: 3 months ago
Last Commit: 3 months ago

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

We found that dabl demonstrates a positive version release cadence with at least one new version released in the past 3 months.

In the past month we didn't find any pull request activity or change in issues status has been detected for the GitHub repository.

Community

Sustainable

Readme: Yes
Contributing.md: No
Code of Conduct: No
Contributors: 30
Funding: No

With more than 10 contributors for the dabl repository, this is possibly a sign for a growing and inviting community.

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

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Package

Python Versions Compatibility: >=3.8

Age: 5 years
Latest Release: 3 months ago
Dependencies: 4 Direct
Versions: 18
Maintainers: 1
Wheels: OS Independent

Readme

dabl

The data analysis baseline library.

"Mr Sanchez, are you a data scientist?"
"I dabl, Mr president."

Find more information on the website.

Try it out

pip install dabl

Current scope and upcoming features

This library is very much still under development. Current code focuses mostly on exploratory visualization and preprocessing. There are also drop-in replacements for GridSearchCV and RandomizedSearchCV using successive halfing. There are preliminary portfolios in the style of POSH auto-sklearn to find strong models quickly. In essence that boils down to a quick search over different gradient boosting models and other tree ensembles and potentially kernel methods.

Check out the the website and example gallery to get an idea of the visualizations that are available.

Stay Tuned!

Related packages

Lux

Lux is an awesome project for easy interactive visualization of pandas dataframes within notebooks.

Pandas Profiling

Pandas Profiling can provide a thorough summary of the data in only a single line of code. Using the ProfileReport() method, you are able to access a HTML report of your data that can help you find correlations and identify missing data.

dabl focuses less on statistical measures of individual columns, and more on providing a quick overview via visualizations, as well as convienient preprocessing and model search for machine learning.

dabl dependencies

numpy pandas scipy seaborn

FAQs

What is dabl?

Data Analysis Baseline Library. Visit Snyk Advisor to see a full health score report for dabl, including popularity, security, maintenance & community analysis.

Is dabl popular?

The python package dabl receives a total of 1,642 weekly downloads. As such, dabl popularity was classified as a recognized. Visit the popularity section on Snyk Advisor to see the full health analysis.

Is dabl well maintained?

We found that dabl demonstrated a healthy version release cadence and project activity. It has a community of 30 open source contributors collaborating on the project. See the full package health analysis to learn more about the package maintenance status.

Is dabl safe to use?

The python package dabl 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 25 October-2024, at 22:46 (UTC).

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dabl

Data Analysis Baseline Library For more information about how to use this package see README

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Package

Readme

dabl

Try it out

Current scope and upcoming features

Related packages

Lux

Pandas Profiling

dabl dependencies

FAQs

What is dabl?

Is dabl popular?

Is dabl well maintained?

Is dabl safe to use?

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Package Health Score

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Commit Frequency

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Readme

dabl

Try it out

Current scope and upcoming features

Related packages

Lux

Pandas Profiling

dabl dependencies

FAQs

What is dabl?

Is dabl popular?

Is dabl well maintained?

Is dabl safe to use?

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Scan your app for vulnerabilities

Source Code

Open Source

Container

Config

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