#typescript #javascript #go #opensource #kafka #reactjs #metrics #prometheus #self_hosted #tracing #stream_processing #druid #gsoc #kafka_streams #observability #distributed_tracing #application_monitoring #jaegertracing #opentelemetry #open_telemetry

https://github.com/SigNoz/signoz

#java #database #grafana #hacktoberfest #influxdb #iot #low_latency #metrics #monitoring #postgres #postgresql #questdb #simd #sql #time_series #timeseries_database #tsdb

https://github.com/questdb/questdb

#java #api_management #apm #authentication #circuit_breaker #configuration_management #metrics #microservices #multi_runtime #proxyless #rate_limiter #router #service_discovery #service_mesh

https://github.com/polarismesh/femas

#go #metrics #prometheus #tsdb

https://github.com/grafana/mimir

#go #dashboard #database_monitoring #ebpf #kubernetes #log_analysis #metrics #microservice #monitoring #network_monitoring #observability #postgresql_monitoring #prometheus #service_map

https://github.com/coroot/coroot

#c_lang #c #cloudnative #data_collector #fluent_bit #fluentd #forwarder #log #logging #metrics #sql_queries #stream_processing #traces

https://github.com/fluent/fluent-bit

#python #instrumentation #metrics #prometheus

https://github.com/prometheus/client_python

#java #cpu #deep_learning #docker #gpu #kubernetes #machine_learning #metrics #mlops #optimization #pytorch #serving

https://github.com/pytorch/serve

#other #adblock #adguard #ads #blacklist #blocklist #coins #dns #domains #fake #filterlist #hosts #malware #metrics #phishing #pi_hole #privacy #scam #telemetry #threat_intelligence_feeds #tracking

https://github.com/hagezi/dns-blocklists

#go #host_metrics #machine_metrics #metrics #node_metrics #procfs #prometheus #prometheus_exporter #system_information #system_metrics

https://github.com/prometheus/node_exporter

#go #kubernetes #kubernetes_exporter #kubernetes_monitoring #metrics #monitoring #observability #prometheus #prometheus_exporter

https://github.com/kubernetes/kube-state-metrics

#python #computer_science #computer_science_rankings #conference #dblp #faculty #metrics #ranking

https://github.com/emeryberger/CSrankings

#python #classification #coco #computer_vision #deep_learning #hacktoberfest #image_processing #instance_segmentation #low_code #machine_learning #metrics #object_detection #oriented_bounding_box #pascal_voc #python #pytorch #tensorflow #tracking #video_processing #yolo

Supervision is a powerful tool for building computer vision applications. It allows you to easily load datasets, draw detections on images or videos, and count detections in specific zones. You can use any classification, detection, or segmentation model with it, and it has connectors for popular libraries like Ultralytics and Transformers. Supervision also offers customizable annotators to visualize your data and utilities to manage datasets in various formats. By using Supervision, you can streamline your computer vision projects and make them more reliable and efficient. Additionally, there are extensive tutorials and documentation available to help you get started quickly.

https://github.com/roboflow/supervision

#c_lang #bigdata #cloud_native #cluster #connected_vehicles #database #distributed #financial_analysis #industrial_iot #iot #metrics #monitoring #scalability #sql #tdengine #time_series #time_series_database #tsdb

TDengine is a powerful, open-source time-series database designed for handling large amounts of data from IoT devices, connected cars, and industrial IoT. Here are the key benefits It can handle billions of data collection points efficiently, outperforming other time-series databases in data ingestion, querying, and compression.
- **Simplified Solution** Designed for cloud environments, it supports distributed design, sharding, partitioning, and Kubernetes deployment.
- **Ease of Use** Makes data exploration and access efficient through features like super tables and pre-computation.
- **Open Source**: Available under open source licenses with an active developer community.

Using TDengine helps you manage and analyze large-scale time-series data efficiently, making it ideal for various IoT and industrial applications.

https://github.com/taosdata/TDengine