TGTGInsighttelegram intelligenceLIVE / telegram public index
← GitHub Trends

TGINSIGHT SIMILAR POSTS

Find similar content

Source channel @githubtrending · Post #15021 · Aug 1

#go#argocd#cloud_native#cncf#container_management#devops#ebpf#hacktoberfest#istio#jenkins#k8s#kubernetes#kubernetes_platform_solution#kubesphere#llm#multi_cluster#observability#servicemesh KubeSphere is an easy-to-use, open-source platform that helps you manage Kubernetes clusters across clouds, data centers, and edge devices from one place. It offers a friendly web interface, supports multi-cluster and multi-tenant management, and automates DevOps tasks like CI/CD pipelines. You get built-in monitoring, logging, alerting, and security features such as role-based access control. It also includes an App Store for quick deployment of applications and supports various storage and networking options. This makes managing complex Kubernetes environments simpler, faster, and more secure, saving you time and reducing operational challenges. https://github.com/kubesphere/kubesphere

Results

1 similar post found

Search: #gdal

当前筛选 #gdal清除筛选
djangoproject

@djangoproject · Post #99 · 07/14/2016, 04:57 AM

https://github.com/daleroberts/tv tv ("#textview") is a small tool to quickly view high-resolution multi-band imagery directly in your terminal. It was designed for working with (very large) #satellite imagery data over a low-bandwidth connection. For example, you can directly visualise a Himawari 8 (11K x 11K pixel) image of the Earth directly from its URL: It is built upon the wonderful #GDAL library so it is able to load a large variety of image formats (GeoTiff, PNG, Jpeg, NetCDF, ...) and subsample the image as it reads from disk so it can handle very large files quickly. It has the ability to read filenames (or URLs) from stdin and load files directly from URLs without writing locally to disk. Command line options are styled after gdal_translate such as: -b to specify the bands (and ordering) to use, -srcwin xoff yoff xsize ysize to view a subset of the image, -r to specify the subsampling algorithm (nearest, bilinear, cubic, cubicspline, lanczos, average, mode).