vega-projection
Projections for cartographic mapping.
This package has a good security score with no known vulnerabilities.
Community Reviews
Functional but bare-bones projection library with minimal production tooling
The library is purely computational with no I/O or async operations, so connection pooling and timeouts aren't concerns. Memory usage is reasonable for typical map data volumes, though there's no built-in protection against pathological inputs. Error messages are terse when projections fail with invalid coordinates, making debugging coordinate system mismatches painful in production logs.
Configuration is minimal - you set projection parameters and call transform functions. Breaking changes have been rare, which is good, but the library also hasn't evolved much in terms of production-grade features. If you're already in the Vega ecosystem this works fine, but standalone usage feels limited compared to using d3-geo directly where you get better documentation and community support.
Best for: Teams already using Vega/Vega-Lite who need programmatic access to the same projection logic used in their visualizations.
Avoid if: You need robust error handling, detailed logging, or aren't already committed to the Vega ecosystem - use d3-geo directly instead.
Solid projection math, but minimal operational tooling for production use
The library is stateless which is good for predictability, but you're on your own for performance optimization. When projecting thousands of coordinates in a request handler, you'll feel the CPU impact immediately. There are no observability hooks, no error context beyond basic JavaScript errors, and no configuration for timeout behavior. Memory usage is reasonable for typical workloads, but scales linearly with coordinate volume.
Documentation is sparse—you really need to understand d3-geo's API since this is mostly a thin layer. Breaking changes between minor versions have occurred (projection parameter handling changed between 1.x and 2.x). If you're doing server-side map rendering at scale, you'll need to build your own worker pools and caching layers around this.
Best for: Client-side visualization projects or low-traffic server endpoints where cartographic accuracy matters more than performance optimization.
Avoid if: You need high-throughput server-side coordinate transformation with built-in performance features and operational visibility.
Functional but bare-bones projection library with minimal DX polish
Error handling is minimal and cryptic. Pass invalid coordinates or misconfigure a projection and you'll get silent failures or uninformative errors that require debugging the underlying d3-geo layer. IDE autocompletion works for function names but provides little context about parameters or expected inputs.
For projects already deep in the Vega ecosystem, this makes sense as a dependency. For standalone use, you're better off using d3-geo directly where the community support and documentation are substantially better. The package feels more like an internal Vega utility that was published separately rather than a polished standalone library.
Best for: Projects already using the Vega visualization ecosystem that need projection functionality with consistent APIs.
Avoid if: You need standalone projection utilities with good documentation and aren't already using Vega - use d3-geo instead.
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