Package Health Score

48 / 100

security
Security review needed
popularity
Small
maintenance
Inactive
community
Sustainable

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Popularity

Small

GitHub Stars: 76
Forks: 11
Contributors: 20

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package redisbloom, we found that it has been starred 76 times.

Security

Security review needed

Security and license risk for latest version

Release Date: Nov 17, 2021
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

Inactive

Commit Frequency

No Recent Commits

Open Issues: 5
Open PR: 1
Last Release: 3 years ago
Last Commit: 2 years ago

Further analysis of the maintenance status of redisbloom 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 redisbloom 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: No
Code of Conduct: No
Contributors: 20
Funding: No

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

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Package

Python Versions Compatibility: >=3.6,<4.0

Age: 5 years
Latest Release: 3 years ago
Dependencies: 4 Direct / 4 Total
Versions: 8
Maintainers: 2
Wheels: OS Independent

Readme

Python client for RedisBloom

redisbloom-py is a package that gives developers easy access to several probabilistic data structures. The package extends redis-py's interface with RedisBloom's API.

Installation

$ pip install redisbloom

Usage example

# Using Bloom Filter
from redisbloom.client import Client
rb = Client()
rb.bfCreate('bloom', 0.01, 1000)
rb.bfAdd('bloom', 'foo')        # returns 1
rb.bfAdd('bloom', 'foo')        # returns 0
rb.bfExists('bloom', 'foo')     # returns 1
rb.bfExists('bloom', 'noexist') # returns 0

# Using Cuckoo Filter
from redisbloom.client import Client
rb = Client()
rb.cfCreate('cuckoo', 1000)
rb.cfAdd('cuckoo', 'filter')        # returns 1
rb.cfAddNX('cuckoo', 'filter')      # returns 0
rb.cfExists('cuckoo', 'filter')     # returns 1
rb.cfExists('cuckoo', 'noexist')    # returns 0

# Using Count-Min Sketch
from redisbloom.client import Client
rb = Client()
rb.cmsInitByDim('dim', 1000, 5)
rb.cmsIncrBy('dim', ['foo'], [5])
rb.cmsIncrBy('dim', ['foo', 'bar'], [5, 15])
rb.cmsQuery('dim', 'foo', 'bar')    # returns [10, 15]

# Using Top-K
from redisbloom.client import Client
rb = Client()
rb.topkReserve('topk', 3, 20, 3, 0.9)
rb.topkAdd('topk', 'A', 'B', 'C', 'D', 'E', 'A', 'A', 'B',
                   'C', 'G', 'D', 'B', 'D', 'A', 'E', 'E')
rb.topkQuery('topk', 'A', 'B', 'C', 'D')    # returns [1, 1, 0, 1]
rb.topkCount('topk', 'A', 'B', 'C', 'D')    # returns [4, 3, 2, 3]
rb.topkList('topk')                         # returns ['A', 'B', 'E']
rb.topkListWithCount('topk')                # returns ['A', 4, 'B', 3, 'E', 3]

API

For complete documentation about RedisBloom's commands, refer to RedisBloom's website.

License

BSD 3-Clause

Development

Create a virtualenv to manage your python dependencies, and ensure it's active. virtualenv -v venv
Install pypoetry to manage your dependencies. pip install poetry
Install dependencies. poetry install

tox runs all tests as its default target. Running tox by itself will run unit tests. Ensure you have a running redis, with the module loaded.

redisbloom dependencies

hiredis redis rmtest six

FAQs

What is redisbloom?

RedisBloom Python Client. Visit Snyk Advisor to see a full health score report for redisbloom, including popularity, security, maintenance & community analysis.

Is redisbloom popular?

The python package redisbloom receives a total of 1,477 weekly downloads. As such, redisbloom popularity was classified as small. Visit the popularity section on Snyk Advisor to see the full health analysis.

Is redisbloom well maintained?

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

Is redisbloom safe to use?

While scanning the latest version of redisbloom, 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 7 November-2024, at 10:56 (UTC).

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redisbloom

RedisBloom Python Client For more information about how to use this package see README

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Package

Readme

Python client for RedisBloom

Installation

Usage example

API

License

Development

redisbloom dependencies

FAQs

What is redisbloom?

Is redisbloom popular?

Is redisbloom well maintained?

Is redisbloom 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

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Snyk Vulnerability Scanner

Readme

Python client for RedisBloom

Installation

Usage example

API

License

Development

redisbloom dependencies

FAQs

What is redisbloom?

Is redisbloom popular?

Is redisbloom well maintained?

Is redisbloom 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