Search Results for "front-end" - Page 3
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Showing 56 open source projects for "front-end"
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Go From AI Idea to AI App FastAccess Gemini 3 and 200+ models. Build chatbots, agents, or custom models with built-in monitoring and scaling.
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Stop Storing Third-Party Tokens in Your DatabaseRolling your own OAuth token storage can be a security liability. Token Vault securely stores access and refresh tokens from federated providers and handles exchange and renewal automatically. Connected accounts, refresh exchange, and privileged worker flows included.
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Python script for Geocachers. Takes GPX file (eg from Geotoad), downloads waypoints to Garmin Etrex, and produces OpenOffice quick-reference document with the descriptions and hints.
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PyOGCLib is a package of classes that implement specifications of the Open GIS Consortium (OGC), allowing Python applications to spatially plug-and-play with other geoprocessing systems.
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GpxBase - simple GPS data manipulation Copy/Move/Delete/Update Waypoints/Tracks/Routes within a list of GPX/KML files. Open source solution to keep track of personal GEO Data Base from different sources (GPS devices, Google software and other).
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Forever Free Full-Stack Observability | Grafana CloudBuilt on open standards like Prometheus and OpenTelemetry, Grafana Cloud includes Kubernetes Monitoring, Application Observability, Incident Response, plus the AI-powered Grafana Assistant. Get started with our generous free tier today.
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Geotag Merge is designed to combine track data from a GPS unit with EXIF data in a series of photographs. A handheld GPS can be simply carried while taking photos, and the photos can later be automatically gettagged (by matching timestamps).
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geoscipy
Python-accessible toolkit for Geoscience & Remote Sensing Applications
GeoSciPy is a set of C and Python functions that provide an API for all aspects of Geoscience and Remote Sensing Applications. Functions include reading/writing of many data formats, images, vectors, ..., and processing of images, vectors, ... including map projections, ... The library is written C, using HDF5 as the file format for storage of all remotely-sensed data and ancillary data, as well as processed data. The C functions assume a particular format for the HDF5 file contents, and...
