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.
@atlaskit/analytics
Advanced tools
Fire analytics events from React Components and then decorate and listen for them.
npm install @atlaskit/analytics
Detailed docs and example usage can be found here.
* Please note that this module could have dependencies that are governed by the Atlassian Design Guidelines license which will be automatically included on install. Each dependency has a license file that indicates whether the Atlassian Design Guidelines license applies.
Let us know what you think of our components and docs, your feedback is really important for us.
Are you in trouble? Read through our contribution guidelines and raise an issue to us.
FAQs
The Atlaskit Component Analytics Framework
The npm package @atlaskit/analytics receives a total of 747 weekly downloads. As such, @atlaskit/analytics popularity was classified as not popular.
We found that @atlaskit/analytics 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.
Security News
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.