Enter the query into the form above. You can look for specific version of a package by using @ symbol like this: gcc@10.
API method:
GET /api/packages?search=hello&page=1&limit=20
where search is your query, page is a page number and limit is a number of items on a single page. Pagination information (such as a number of pages and etc) is returned
in response headers.
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The RT Topology Library exposes an API to create and manage standard (ISO 13249 aka SQL/MM) topologies using user-provided data stores.
This is a python implementation of the geodesic routines in GeographicLib.
The Python Shapefile Library (PyShp) reads and writes ESRI Shapefiles.
Command line tool for working with OpenStreetMap data based on the Osmium library.
H3 is a geospatial indexing system using a hexagonal grid that can be (approximately) subdivided into finer and finer hexagonal grids, combining the benefits of a hexagonal grid with S2's hierarchical subdivisions.
MetPy is a collection of tools in Python for reading, visualizing and performing calculations with weather data.
GMT is a collection of about 100 command-line tools for manipulating geographic and Cartesian data sets (including filtering, trend fitting, gridding, projecting, etc.) and producing high-quality illustrations ranging from simple x-y plots via contour maps to artificially illuminated surfaces, 3D perspective views and animations. The GMT supplements add another 50 more specialized and discipline-specific tools. GMT supports over 30 map projections and transformations and requires support data such as GSHHG coastlines, rivers, and political boundaries and optionally DCW country polygons.
SpatiaLite is a library intended to extend the SQLite core to support fully fledged Spatial SQL capabilities.
Iris is a Python library for analysing and visualising Earth science data. It excels when working with multi-dimensional Earth Science data, where tabular representations become unwieldy and inefficient. Iris implements a data model based on the CF conventions.
Spatialite-gui provides a visual interface for viewing and maintaining a spatialite database. You can easily see the structure of the tables and data contents using point and click functions, many of which construct common SQL queries, or craft your own SQL queries.
Verde is a Python library for processing spatial data (topography, point clouds, bathymetry, geophysics surveys, etc) and interpolating them on a 2D surface (i.e., gridding) with a hint of machine learning.
Cartopy is a Python package designed to make drawing maps for data analysis and visualisation easy.
It features:
object oriented projection definitions
point, line, polygon and image transformations between projections
integration to expose advanced mapping in Matplotlib with a simple and intuitive interface
powerful vector data handling by integrating shapefile reading with Shapely capabilities
GEOS provides a spatial object model and fundamental geometric functions. It is a C++ port of the Java Topology Suite (JTS). As such, it aims to contain the complete functionality of JTS in C++. This includes all the OpenGIS Simple Features for SQL spatial predicate functions and spatial operators, as well as specific JTS enhanced topology functions.
Facilitates mapping by making natural earth map data from http:// www.naturalearthdata.com/ more easily available to R users. Focuses on vector data.
spatialite-tools is a collection of Command Line Interface (CLI) tools supporting SpatiaLite.
QGIS is an easy to use Geographical Information System (GIS). It is a GIS data viewer and editor. QGIS supports a number of raster and vector data formats, with new support easily added using the plugin architecture.
Imposm is an importer for OpenStreetMap data. It reads PBF files and imports the data into PostgreSQL/PostGIS databases. It is designed to create databases that are optimized for rendering/tile/map-services.
Tippecanoe creates scale-independent view of data, so that the texture and density of features is visible at every zoom level, instead of dropping features at lower levels.
The libmaxminddb library provides a C library for reading MaxMind DB files, including the GeoIP2 databases from MaxMind. The MaxMind DB format is a custom, but open, binary format designed to facilitate fast lookups of IP addresses while allowing flexibility in the type of data associated with an address.
The miniSEED library provides a framework for manipulation of SEED data records, a format for commonly used for seismological time series and related data. The library includes the functionality to read and write data records, in addition to reconstructing time series from multiple records.
This package provides a Python bindings for H3, a hierarchical hexagonal geospatial indexing system
The goal of GeoPandas is to make working with geospatial data in Python easier. It combines the capabilities of Pandas and Shapely, providing geospatial operations in Pandas and a high-level interface to multiple geometries to Shapely. GeoPandas enables you to easily do operations in Python that would otherwise require a spatial database such as PostGIS.
ObsPy is a project dedicated to provide a Python framework for processing seismological data. It provides parsers for common file formats, clients to access data centers and seismological signal processing routines which allow the manipulation of seismological time series.
The goal of the ObsPy project is to facilitate rapid application development for seismology.
Python version of geopack and Tsyganenko models, compatible with geopack05 and geopack08.