Head-to-Head: Turf vs Geodist Analysis

@turf/turf

v7.0.0(13 days ago)

This package is actively maintained.Types definitions are bundled with the npm packageNumber of direct dependencies: 113Monthly npm downloads

@turf/turf is a modular geospatial analysis library for JavaScript that provides a wide range of spatial operations and functions for working with geographic data. It offers tools for performing tasks like measuring distances, calculating areas, finding intersections, simplifying geometries, and more. @turf/turf is known for its high performance and accuracy in handling geospatial computations.

Alternatives:
leaflet+
openlayers+
mapbox-gl+
cesium+
ol-ext+
deck.gl+
three-geo+
geolib+
proj4+
leaflet-draw+

Tags: javascriptgeospatialanalysisspatial operationsgeographic data

geodist

v0.2.1(over 10 years ago)

This package was last published over a year ago. It may not be actively maintained.The package doesn't have any types definitionsNumber of direct dependencies: 0Monthly npm downloads

Geodist is a lightweight and efficient JavaScript library for calculating the geographical distance between two points on the Earth's surface. It provides various methods for calculating distances using different formulas like Haversine, Vincenty, and Great Circle. Geodist is particularly useful for applications that require geospatial calculations, such as location-based services, mapping, and routing.

Alternatives:
haversine-distance+
geolib+
sphere-knn+
latlon-geohash+
node-geocoder+
geojson-utils+
turf+
geopoint+
geo-distance+
great-circle+

Tags: javascriptgeospatialdistance-calculationgeolocationmapping

Fight!

Functionality

Both @turf/turf and geodist are npm packages related to geospatial operations, but they have different focuses. @turf/turf is a comprehensive library for geospatial analysis and has a wide range of functions for tasks like measuring distances, performing spatial calculations, and manipulating geometries. On the other hand, geodist is specifically designed for calculating distances between two points using different distance metrics like haversine, Euclidean, or Manhattan.

API Design

The API design of @turf/turf is quite extensive and follows a functional programming paradigm. It provides a wide range of functions and modules, which gives developers flexibility and power in performing geospatial operations. Geodist, on the other hand, has a simpler API that focuses primarily on calculating distances. Its API is straightforward and easy to use for basic proximity calculations.

Popularity

@turf/turf is a well-established package in the geospatial community and enjoys a significant user base. It is widely used in various projects that involve geospatial operations. Geodist is also popular but not as widely adopted as @turf/turf. The popularity of these packages can influence factors like community support and availability of resources.

Performance

@turf/turf is a highly optimized library with a focus on performance. It employs various techniques to ensure efficient geospatial operations. Geodist is also performant, but its primary focus is on calculating distances, which makes it well-suited for proximity-related calculations. However, for more complex geospatial operations, @turf/turf provides a broader set of tools and optimizations.

Additional Features

Apart from distance calculations, @turf/turf offers numerous additional features such as spatial analysis, buffering, geoJSON manipulation, interpolation, and much more. It provides a comprehensive toolbox for geospatial tasks. Geodist, on the other hand, primarily focuses on distance calculation and does not provide extensive additional features beyond that.

Dependency and Bundle Size

Both packages have their specific dependencies. @turf/turf has a few dependencies but provides a wide range of functionalities. Geodist, being a more focused package, has relatively fewer dependencies. However, dependency and bundle size can vary based on the individual project requirements, so it's recommended to analyze the specific needs before making a decision.