Security News
New Python Packaging Proposal Aims to Solve Phantom Dependency Problem with SBOMs
PEP 770 proposes adding SBOM support to Python packages to improve transparency and catch hidden non-Python dependencies that security tools often miss.
Snaplet gives you production-realistic data you can code, test or debug against. It’s an easier and safer way to get data from your database, or to generate seed data.
If you don’t have production data, Snaplet generate introspects your schema to understand your database, its relationships and data, and creates seed data that’s more realistic than a seed script, with less configuration.
If you have access to production data, Snaplet’s snapshot functionality can capture a subset of your data and transform any sensitive information, making it safe and practical to code against.
# Install and setup Snaplet with npx
npx snaplet setup
Follow the generate
quick start guide.
Follow the snapshot quick start guide.
FAQs
Snaplet CLI
The npm package snaplet receives a total of 1,515 weekly downloads. As such, snaplet popularity was classified as popular.
We found that snaplet demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 0 open source maintainers collaborating on the project.
Did you know?
Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
Security News
PEP 770 proposes adding SBOM support to Python packages to improve transparency and catch hidden non-Python dependencies that security tools often miss.
Security News
Socket CEO Feross Aboukhadijeh discusses open source security challenges, including zero-day attacks and supply chain risks, on the Cyber Security Council podcast.
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Research
Socket researchers uncover how threat actors weaponize Out-of-Band Application Security Testing (OAST) techniques across the npm, PyPI, and RubyGems ecosystems to exfiltrate sensitive data.