Showing 201-220 of 230 projects
A Statsd-compatible metrics aggregator written in C for monitoring and observability in production environments.
Distribute and run AI workloads on Kubernetes with a Python-based infrastructure toolkit like PyTorch.
A Python package for processing earth-observing satellite data with support for common data formats and tools.
Prompty is a Python library that makes it easy to create, manage, debug, and evaluate LLM prompts for AI applications.
A React component for the Intersection Observer API, enabling efficient viewport and scrolling detection.
An open source distributed time-series database with high concurrency, high performance, and high scalability.
The most powerful IO monad implementation in JavaScript, providing a functional-programming approach to handling side effects.
Metrics dashboards on terminal, a Grafana-inspired terminal version for observability and monitoring.
A micro-framework for observing file changes, both local and remote, helpful for building developer tools.
A cloud-native observability project based on eBPF, focused on containers, metrics, and profiling.
A Python library that provides core integrations for the Datadog Agent, a monitoring and observability platform.
A reactive MobX-powered form state management library for React applications.
Simple, scalable, multi-cloud monitoring platform for infrastructure, metrics, and observability.
A collection of datasets for deep learning with satellite and aerial imagery.
A gamified chaos engineering tool for Kubernetes that lets developers inject controlled failures and observe system behavior.
A Kubernetes observability tool that collects TCP/TLS metadata using eBPF and visualizes it in Grafana
GRASS is a free and open-source geospatial processing engine for spatial data analysis and visualization.
A library to observe FastAPI apps with Traces, Metrics, and Logs on Grafana through OpenTelemetry.
A zero-cost and type-safe reactive extensions library for Rust, supporting both single-threaded and thread-safe contexts.
Repository for the AdaBelief Optimizer, a NeurIPS 2020 Spotlight paper on an adaptive optimizer for AI/ML models.
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