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.
@antv/l7-layers
Advanced tools
yarn add @antv/l7-layers
Use built-in layers directly:
import { PointLayer } from '@antv/l7-layers';
const layer = new PointLayer({
// ...initialization options
});
Create a custom layer with the help of BaseLayer
:
import { BaseLayer } from '@antv/l7-layers';
class MyCustomLayer extends BaseLayer {
// ...override methods
}
const layer = new MyCustomLayer({
// ...initialization options
});
FAQs
L7's collection of built-in layers
The npm package @antv/l7-layers receives a total of 15,639 weekly downloads. As such, @antv/l7-layers popularity was classified as popular.
We found that @antv/l7-layers 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.
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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.
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