Package Health Score

48 / 100

security
Security review needed
popularity
Limited
maintenance
Inactive
community
Sustainable

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Popularity

Limited

GitHub Stars: 155
Forks: 85
Contributors: 20

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package datasist, we found that it has been starred 155 times.

Security

Security review needed

Security and license risk for latest version

Release Date: Apr 10, 2020
Direct Vulnerabilities: 0
C
0
H
0
M
0
L
Indirect Vulnerabilities: 0
C
0
H
0
M
0
L
License Risk: 0
H
1
M
0
L

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

License

MIT

Security Policy

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Maintenance

Inactive

Commit Frequency

No Recent Commits

Open Issues: 5
Open PR: 11
Last Release: 5 years ago
Last Commit: 3 years ago

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

An important project maintenance signal to consider for datasist is that it hasn't seen any new versions released to PyPI in the past 12 months, and could be considered as a discontinued project, or that which receives low attention from its maintainers.

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: Yes
Code of Conduct: No
Contributors: 20
Funding: No

With more than 10 contributors for the datasist 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 datasist is missing a Code of Conduct.

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Package

Python Versions Compatibility: ==3.5.*, ==3.6.*, ==3.7.*

Age: 5 years
Latest Release: 5 years ago
Dependencies: 8 Direct / 111 Total
Versions: 8
Maintainers: 2
Wheels: OS Independent

Readme

Getting Started

datasist

datasist: Python library for easy data analysis, visualization, exploration and modeling

Latest Release
Release Status
License
Build Status
Downloads
Source Rank
Twitter

What is it?

datasist is a python package providing fast, quick, and an abstracted interface to popular and frequently used functions or techniques relating to data analysis, visualization, data exploration, feature engineering, Computer, NLP, Deep Learning, modeling, model deployment etc.

Install

pip install datasist

Installation from source (Developers)

To install datasist from source you need python 3.6> in addition to the normal dependencies above.

Run the following command in a terminal/command prompt

git clone https://github.com/risenW/datasist.git
cd datasist
python setup.py install

Alternatively, you can use install with pip after cloning, if you want all the dependencies pulled in automatically (the -e option is for installing it in [development mode]:

git clone https://github.com/risenW/datasist.git
cd datasist
pip install -e .

Documentation

Full documentaion can be found here

Contributing to datasist

All contributions, bug reports, bug fixes, documentation improvements, enhancements and ideas are welcome.

If you would like to contribute to datasist, find a detailed contribution guide here.

Using Datasist

Quick start guide

Tutorial guide

Youtube Videos

Introduction to using Datasist, presented at NeuRips Meetup - PH. Click Here

Introduction to Datasist by DataKnight Click Here

datasist dependencies

joblib jupyter matplotlib nltk numpy pandas scikit-learn seaborn

FAQs

What is datasist?

A Python library for easy data analysis, visualization, exploration and modeling. Visit Snyk Advisor to see a full health score report for datasist, including popularity, security, maintenance & community analysis.

Is datasist popular?

The python package datasist receives a total of 210 weekly downloads. As such, datasist popularity was classified as limited. Visit the popularity section on Snyk Advisor to see the full health analysis.

Is datasist well maintained?

We found indications that datasist is an Inactive project. See the full package health analysis to learn more about the package maintenance status.

Is datasist safe to use?

While scanning the latest version of datasist, we found that a security review is needed. A total of 0 vulnerabilities or license issues were detected. See the full security scan results.

Last updated on 4 November-2024, at 15:04 (UTC).

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datasist

A Python library for easy data analysis, visualization, exploration and modeling For more information about how to use this package see README

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Package Health Score

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Package

Readme

Getting Started

datasist: Python library for easy data analysis, visualization, exploration and modeling

What is it?

Install

Installation from source (Developers)

Documentation

Contributing to datasist

Using Datasist

Youtube Videos

datasist dependencies

FAQs

What is datasist?

Is datasist popular?

Is datasist well maintained?

Is datasist safe to use?

Build a secure application checklist

Select a recommended open source package

Scan your app for vulnerabilities

Fix identified vulnerabilities

Monitor for new issues

Package Health Score

Explore Similar Packages

Direct Usage Popularity

Security and license risk for latest version

Commit Frequency

Embed Package Health Score Badge

Keep your project healthy

Check your requirements.txt

Snyk Vulnerability Scanner

Readme

Getting Started

datasist: Python library for easy data analysis, visualization, exploration and modeling

What is it?

Install

Installation from source (Developers)

Documentation

Contributing to datasist

Using Datasist

Youtube Videos

datasist dependencies

FAQs

What is datasist?

Is datasist popular?

Is datasist well maintained?

Is datasist 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

Monitor for new issues