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RPMPackage graphviz-python3-9.0.0-4.lbn36.x86_64
Python 3 extension for graphviz.
RPMPackage graphviz-php-2.50.0-6.fc36.x86_64
PHP extension for graphviz.
RPMPackage graphviz-perl-9.0.0-4.lbn36.x86_64
Perl extension for graphviz.
RPMPackage graphviz-ocaml-9.0.0-4.lbn36.x86_64
Ocaml extension for graphviz.
RPMPackage graphviz-lua-9.0.0-4.lbn36.x86_64
Lua extension for graphviz.
RPMPackage graphviz-java-9.0.0-4.lbn36.x86_64
Java extension for graphviz.
RPMPackage graphviz-guile-9.0.0-4.lbn36.x86_64
Guile extension for graphviz.
RPMPackage graphviz-gtk2-9.0.0-4.lbn36.x86_64
Graphviz plugin for renderers based on gtk2.
RPMPackage graphviz-graphs-9.0.0-4.lbn36.x86_64
Some demo graphs for graphviz.
RPMPackage graphviz-gd-9.0.0-4.lbn36.x86_64
Graphviz plugin for renderers based on gd. (Unless you absolutely have to use GIF, you are recommended to use the PNG format instead because of the better quality anti-aliased lines provided by the cairo+pango based renderer.)
RPMPackage graphviz-doc-9.0.0-4.lbn36.x86_64
Provides some additional PDF and HTML documentation for graphviz.
RPMPackage graphviz-devil-9.0.0-4.lbn36.x86_64
Graphviz plugin for renderers based on DevIL. (Unless you absolutely have to use BMP, TIF, or TGA, you are recommended to use the PNG format instead supported directly by the cairo+pango based renderer in the base graphviz rpm.)
RPMPackage graphviz-R-9.0.0-4.lbn36.x86_64
R extension for graphviz.
RPMPackage graphviz-9.0.0-4.lbn36.x86_64
A collection of tools for the manipulation and layout of graphs (as in nodes and edges, not as in barcharts).
RPMPackage graphite2-1.3.14-9.fc36.x86_64
Graphite2 is a project within SIL’s Non-Roman Script Initiative and Language Software Development groups to provide rendering capabilities for complex non-Roman writing systems. Graphite can be used to create “smart fonts” capable of displaying writing systems with various complex behaviors. With respect to the Text Encoding Model, Graphite handles the "Rendering" aspect of writing system implementation.
RPMPackage graphene-tests-1.10.6-4.fc36.x86_64
The graphene-tests package contains tests that can be used to verify the functionality of the installed graphene package.
RPMPackage graphene-1.10.6-4.fc36.x86_64
Graphene provides a small set of mathematical types needed to implement graphic libraries that deal with 2D and 3D transformations and projections.
RPMPackage grafana-tempo-client-2.7.0-0.1.gitb0da6b4.lbn36.x86_64
Client-side tools for Tempo.
RPMPackage grafana-tempo-2.7.0-0.1.gitb0da6b4.lbn36.x86_64
Grafana Tempo is an open source, easy-to-use and high-scale distributed tracing backend. Tempo is cost-efficient, requiring only object storage to operate, and is deeply integrated with Grafana, Prometheus, and Loki. Tempo can be used with any of the open source tracing protocols, including Jaeger, Zipkin, OpenCensus, Kafka, and OpenTelemetry. It supports key/value lookup only and is designed to work in concert with logs and metrics (exemplars) for discovery. Tempo is Jaeger, Zipkin, Kafka, OpenCensus and OpenTelemetry compatible. It ingests batches in any of the mentioned formats, buffers them and then writes them to Azure, GCS, S3 or local disk. As such it is robust, cheap and easy to operate!
RPMPackage grafana-mimir-2.15.0-0.1.git24e4281.lbn36.x86_64
Grafana Mimir is an open source software project that provides a scalable long-term storage for Prometheus. Some of the core strengths of Grafana Mimir include: Easy to install and maintain: Grafana Mimir’s extensive documentation, tutorials, and deployment tooling make it quick to get started. Using its monolithic mode, you can get Grafana Mimir up and running with just one binary and no additional dependencies. Once deployed, the best-practice dashboards, alerts, and playbooks packaged with Grafana Mimir make it easy to monitor the health of the system. Massive scalability: You can run Grafana Mimir's horizontally-scalable architecture across multiple machines, resulting in the ability to process orders of magnitude more time series than a single Prometheus instance. Internal testing shows that Grafana Mimir handles up to 1 billion active time series. Global view of metrics: Grafana Mimir enables you to run queries that aggregate series from multiple Prometheus instances, giving you a global view of your systems. Its query engine extensively parallelizes query execution, so that even the highest-cardinality queries complete with blazing speed. Cheap, durable metric storage: Grafana Mimir uses object storage for long-term data storage, allowing it to take advantage of this ubiquitous, cost-effective, high-durability technology. It is compatible with multiple object store implementations, including AWS S3, Google Cloud Storage, Azure Blob Storage, OpenStack Swift, as well as any S3-compatible object storage. High availability: Grafana Mimir replicates incoming metrics, ensuring that no data is lost in the event of machine failure. Its horizontally scalable architecture also means that it can be restarted, upgraded, or downgraded with zero downtime, which means no interruptions to metrics ingestion or querying. Natively multi-tenant: Grafana Mimir’s multi-tenant architecture enables you to isolate data and queries from independent teams or business units, making it possible for these groups to share the same cluster. Advanced limits and quality-of-service controls ensure that capacity is shared fairly among tenants.
 
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