ctx
safety
ctx | safety | |
---|---|---|
2 | 7 | |
2 | 1,631 | |
- | 0.9% | |
10.0 | 6.5 | |
over 9 years ago | about 1 month ago | |
Python | Python | |
MIT License | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
ctx
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Introducing dotwiz: a blazing fast dict type which enables dot access
It's interesting you set slots = dict, but there are a lot of other offerings that implement __getitem__, like munch and ctx (not the malicious version, this one: https://github.com/figlief/ctx)
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I think the CTX package on PyPI has been hacked!
The github repo still has the correct code.
safety
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A Tale of Two Kitchens - Hypermodernizing Your Python Code Base
Safety and Dependabot complement these security tools by focusing on external dependencies. Safety takes charge of examining your dependencies, ensuring they are up-to-date and free from any known vulnerabilities. Dependabot works similarly, scanning dependencies, verifying if they're current and assessing them for potential security flaws. This function is crucial as weaknesses in external dependencies can compromise the security of the entire codebase.
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Any resources for writing production-grade code in Python?
https://pyup.io/safety/ for security checks of dependencies
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On dependency on external libraries
I'm trying this tool at the moment: https://pyup.io/safety/
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I think the CTX package on PyPI has been hacked!
Checking could be done if something like this eventually shows up in safety or pip-audit.
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Creating A Modern Python Development Environment
A 2021 security report by Snyk, states 47% of Python projects contain known vulnerabilities. On the bright hand side, almost 87% of known vulnerabilities can be resolved by upgrading the vulnerable package. Safety checks your installed dependencies for known security vulnerabilities.
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Modern Python setup for quality development
safety: Safety checks your installed dependencies for known security vulnerabilities.
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My IT department at work wants to ban Anaconda and replace it with ???
There is a python project called "safety". https://github.com/pyupio/safety If you run this after every package install or update and on a regular cadence it should catch the worst offenders much easier than having someone manually review every package.
What are some alternatives?
pattern-matching-in-python - Pattern Matching in Python
bandit - Bandit is a tool designed to find common security issues in Python code.
python-oop - Catalog of Python object-oriented programming articles and links
pre-commit-hooks - git pre-commit hooks that work with http://pre-commit.com/
kad - A simple Python package converting dictionary keys to attributes of a class.
ochrona-cli - A command line tool for detecting vulnerabilities in Python dependencies and doing safe package installs
dangerzone - Take potentially dangerous PDFs, office documents, or images and convert them to safe PDFs
commitizen - Create committing rules for projects :rocket: auto bump versions :arrow_up: and auto changelog generation :open_file_folder:
warehouse - The Python Package Index
Check-WP-CVE-2020-35489 - The (WordPress) website test script can be exploited for Unlimited File Upload via CVE-2020-35489