Package Health Score

63 / 100

security
No known security issues
popularity
Small
maintenance
Inactive
community
Active

Explore Similar Packages

Popularity

Small

GitHub Stars: 24.13K
Forks: 4.61K
Contributors: 190

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package algorithms, we found that it has been starred 24,128 times.

Security

No known security issues

Security and license risk for latest version

Release Date: Oct 4, 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
0
M
0
L

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

License

MIT

Security Policy

We found a way for you to contribute to the project! Looks like algorithms is missing a security policy.

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Maintenance

Inactive

Commit Frequency

Open Issues: 61
Open PR: 156
Last Release: 4 years ago
Last Commit: 11 months ago

Further analysis of the maintenance status of algorithms 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 algorithms 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.

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: Yes
Contributors: 190
Funding: No

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

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Package

Python Versions Compatibility: ==3.4.*, ==3.5.*, ==3.6.*, ==3.7.*

Age: 7 years
Latest Release: 4 years ago
Dependencies: N/A
Versions: 3
Maintainers: 0
Wheels: OS Independent

Not sure how to use algorithms?

To help you get started, we've collected the most common ways that algorithms is being used within popular public projects.

keon / algorithms / algorithms / linkedlist / add_two_numbers.py View on Github

def convert_to_list(number: int) -> Node:
    """
        converts a positive integer into a (reversed) linked list.
        for example: give 112
        result 2 -> 1 -> 1
    """
    if number >= 0:
        head = Node(0)
        current = head
        remainder = number % 10
        quotient = number // 10

        while quotient != 0:
            current.next = Node(remainder)
            current = current.next
            remainder = quotient % 10
            quotient //= 10
        current.next = Node(remainder)
        return head.next
    else:
        print("number must be positive!")

View more ways to use algorithms

Pythonic Data Structures and Algorithms

Minimal and clean example implementations of data structures and algorithms in Python 3.

Contributing

Thanks for your interest in contributing! There are many ways to contribute to this project. Get started here

Tests

Use unittest

For running all tests write down:

$ python3 -m unittest discover tests

For running some specific tests you can do this as following (Ex: sort):

$ python3 -m unittest tests.test_sort

Use pytest

For running all tests write down:

$ python3 -m pytest tests

Install

If you want to use the API algorithms in your code, it is as simple as:

$ pip3 install algorithms

You can test by creating a python file: (Ex: use merge_sort in sort)

from algorithms.sort import merge_sort

if __name__ == "__main__":
    my_list = [1, 8, 3, 5, 6]
    my_list = merge_sort(my_list)
    print(my_list)

Uninstall

If you want to uninstall algorithms, it is as simple as:

$ pip3 uninstall -y algorithms

List of Implementations

Contributors

Thanks to all the contributors who helped in building the repo.

FAQs

What is algorithms?

Pythonic Data Structures and Algorithms. Visit Snyk Advisor to see a full health score report for algorithms, including popularity, security, maintenance & community analysis.

Is algorithms popular?

The python package algorithms receives a total of 583 weekly downloads. As such, algorithms popularity was classified as small. Visit the popularity section on Snyk Advisor to see the full health analysis.

Is algorithms well maintained?

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

Is algorithms safe to use?

The python package algorithms 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 20 December-2024, at 18:58 (UTC).

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algorithms