#time-series

Scalable Observability

End-to-end ML toolkit automating the complete workflow — data profiling, preprocessing, feature engineering, model selection, training, validation, explainability, drift monitoring, fairness checks, and interactive HTML reporting. Includes a full CLI for zero-code ML pipelines. Python 3.10+.

machbase-neo = time series database + mqtt + http + data visualization

A lightweight Pythonic data model for time series data, interoperable with NumPy, Pandas and Polars.

Grid Solutions Framework

Timeseries forecasting in Rust

The client implementation for SkyWalking BanyanDB in Java

Time-series metrics for Ruby. Track counters and nested breakdowns in Postgres, Redis, MongoDB, MySQL, or SQLite.

An Erlang ingester for GreptimeDB, which is compatible with GreptimeDB protocol and lightweight.