2 Repos
Awesome GitHub RepositoriesLabel-Based Multi-Dimensionality
Supports dynamic label sets per metric family, enabling multi-dimensional time series through label-value pairs.
Distinct from Multi-Dimensional Analysis: Distinct from Multi-Dimensional Analysis: focuses on label-based metric dimensionality for Prometheus, not OLAP-style SQL analysis.
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Awesome Label-Based Multi-Dimensionality GitHub Repositories
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- prometheus/client_golang
prometheus/client_golang
5,999Auf GitHub ansehenPrometheus client_golang is the official Go client library for instrumenting applications with Prometheus metrics. It provides a metric registry that manages and exposes custom application metrics like counters, gauges, histograms, and summaries in Prometheus format for HTTP scraping by a Prometheus server. The library also includes a remote read client that sends PromQL queries to a Prometheus server over HTTP and retrieves time series data programmatically. The library supports creating separate registries to isolate metric namespaces and control which metrics are exposed per scrape endpoin
Enables multi-dimensional time series through dynamic label-value pairs on metric families.
Go - prometheus/client_python
prometheus/client_python
4,333Auf GitHub ansehenThis is a Prometheus Python client library used for instrumenting Python applications. It provides the tools necessary to record counters, gauges, and histograms within a process to monitor application health and expose that data as a Prometheus exposition format provider. The library enables cloud native observability by allowing developers to define custom telemetry and track internal application events. It transforms internal application data into a standardized text format required by Prometheus scrapers for collection. The project covers a variety of monitoring and observability capabil
Supports multi-dimensional time series by organizing metrics using label-value pairs for flexible filtering.
Pythoninstrumentationmetricsprometheus
