* [Prometheus v3.12.0](https://github.com/prometheus/prometheus) – Monitoring system and time series database that collects metrics and triggers alerts based on specified conditions.

* [QuestDB 9.4.0](https://github.com/questdb/questdb) – High-performance time-series database with fast ingestion and low-latency SQL queries.

* [TimescaleDB 2.27.0](https://github.com/timescale/timescaledb) – PostgreSQL extension for high-performance real-time analytics on time-series and event data.

* [NanoTDB v1.4.0](https://github.com/aymanhs/nanotdb) – Append-only time-series database with built-in automatic aggregates and rollups for efficient long-range queries on modest hardware.

* [Telegraf v1.38.4](https://github.com/influxdata/telegraf) – Agent for collecting, processing, aggregating, and writing metrics, logs, and other data.

* [InfluxDB v2.9.1](https://github.com/influxdata/influxdb) – Database designed for collecting, processing, transforming, and storing event and time series data.

* [Arc v26.06.1](https://github.com/Basekick-Labs/arc) – High-performance DuckDB-based time-series database for Industrial IoT with fast ingestion, sub-second queries, and Parquet storage.

* [Synnax console-v0.56.0](https://github.com/synnaxlabs/synnax) – Observability and control platform for high-performance hardware teams that manages the data lifecycle and provides real-time visualization and control.

* [machbase-neo v8.5.2](https://github.com/machbase/neo-server) – Time-series database server for IoT with MQTT, HTTP, gRPC APIs and integrated data visualization.

* [pg_statviz v1.0](https://github.com/vyruss/pg_statviz) – Minimalist extension and utility for time series analysis and visualization of PostgreSQL internal statistics.

* [Nightingale v9.0.0-beta.2](https://github.com/ccfos/nightingale) – Monitoring and alerting solution similar to Grafana for visualization.