Package Health Score

88 / 100

security
No known security issues
popularity
Key ecosystem project
maintenance
Healthy
community
Sustainable

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Popularity

Key ecosystem project

GitHub Stars: 2.34K
Forks: 163
Contributors: 20

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package cachetools, we found that it has been starred 2,338 times.

Security

No known security issues

Security and license risk for latest version

Release Date: Aug 18, 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

Yes

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Maintenance

Healthy

Commit Frequency

Open Issues: 6
Open PR: 3
Last Release: 3 months ago
Last Commit: 3 months ago

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

We found that cachetools 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

Sustainable

Readme: Yes
Contributing.md: No
Code of Conduct: No
Contributors: 20
Funding: No

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

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Package

Python Versions Compatibility: >=3.7

Age: 11 years
Latest Release: 3 months ago
Dependencies: N/A
Versions: 49
Maintainers: 1
Wheels: OS Independent

Not sure how to use cachetools?

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

nocproject / noc / tests / test_discovery.py View on Github

@cachetools.cached(_profile_cache)
def get_profile(name):
    return Profile.get_by_name(name)

View more ways to use cachetools

cachetools

This module provides various memoizing collections and decorators, including variants of the Python Standard Library's @lru_cache function decorator.

from cachetools import cached, LRUCache, TTLCache

# speed up calculating Fibonacci numbers with dynamic programming
@cached(cache={})
def fib(n):
    return n if n &lt; 2 else fib(n - 1) + fib(n - 2)

# cache least recently used Python Enhancement Proposals
@cached(cache=LRUCache(maxsize=32))
def get_pep(num):
    url = 'http://www.python.org/dev/peps/pep-%04d/' % num
    with urllib.request.urlopen(url) as s:
        return s.read()

# cache weather data for no longer than ten minutes
@cached(cache=TTLCache(maxsize=1024, ttl=600))
def get_weather(place):
    return owm.weather_at_place(place).get_weather()

For the purpose of this module, a cache is a mutable mapping of a fixed maximum size. When the cache is full, i.e. by adding another item the cache would exceed its maximum size, the cache must choose which item(s) to discard based on a suitable cache algorithm.

This module provides multiple cache classes based on different cache algorithms, as well as decorators for easily memoizing function and method calls.

Installation

cachetools is available from PyPI and can be installed by running:

pip install cachetools

Typing stubs for this package are provided by typeshed and can be installed by running:

pip install types-cachetools

Project Resources

Related Projects

asyncache: Helpers to use cachetools with async functions
cacheing: Pure Python Cacheing Library
CacheToolsUtils: Cachetools Utilities
kids.cache: Kids caching library
shelved-cache: Persistent cache for Python cachetools

License

Licensed under the MIT License.

FAQs

What is cachetools?

Extensible memoizing collections and decorators. Visit Snyk Advisor to see a full health score report for cachetools, including popularity, security, maintenance & community analysis.

Is cachetools popular?

The python package cachetools receives a total of 45,693,682 weekly downloads. As such, cachetools popularity was classified as a key ecosystem project. Visit the popularity section on Snyk Advisor to see the full health analysis.

Is cachetools well maintained?

We found that cachetools demonstrated a healthy version release cadence and project activity. It has a community of 20 open source contributors collaborating on the project. See the full package health analysis to learn more about the package maintenance status.

Is cachetools safe to use?

The python package cachetools 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 21 November-2024, at 10:33 (UTC).

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cachetools

Extensible memoizing collections and decorators For more information about how to use this package see README

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cachetools

Installation

Project Resources

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License

FAQs

What is cachetools?

Is cachetools popular?

Is cachetools well maintained?

Is cachetools safe to use?

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Package Health Score

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Direct Usage Popularity

Security and license risk for latest version

Commit Frequency

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Not sure how to use cachetools?

cachetools

Installation

Project Resources

Related Projects

License

FAQs

What is cachetools?

Is cachetools popular?

Is cachetools well maintained?

Is cachetools safe to use?

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Select a recommended open source package

Scan your app for vulnerabilities

Source Code

Open Source

Container

Config

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