Time Series
Showing 36 of 222 projects
Advanced PostgreSQL and PgBouncer metrics exporter for Prometheus with declarative configuration and 600+ metrics.
An intelligent data search and enrichment library for machine learning that automatically finds and adds relevant external features to ML pipelines.
An Erlang client library for the Prometheus monitoring system, providing metrics collection and exposition.
A Ruby on Rails gem for efficiently rolling up and querying time-series data from ActiveRecord models.
A tidy R package for detecting anomalies in time series data using decomposition and statistical methods.
A lightweight time-series database written in Rust, deployable as an embedded library, standalone server, or scalable cluster.
A curated list of the best resources, tools, libraries, and documentation for the Apache Cassandra database ecosystem.
A D3.js library for visualizing time data availability with Gantt-like charts to identify gaps in datasets.
A full-featured generic SNMP data collector with a web administration interface for InfluxDB.
A server that accepts InfluxDB metrics via HTTP/UDP and exports them in Prometheus format.
A program to send Nagios performance data to Graphite, StatsD, Librato, and InfluxDB.
A flexible anomaly detection framework for Kapacitor using fingerprinting algorithms and lossy counting.
A tool for tracking and visualizing metrics in Elixir applications, with integrations for Phoenix and Ecto.
A lightweight Java reporter that sends metrics from the Metrics library to an InfluxDB server.
A high-performance, large-scale statistical machine learning library written in Common Lisp.
A Prometheus exporter that accepts collectd metrics via binary protocol or HTTP POST and converts them for Prometheus consumption.
An end-to-end Python outlier detection system with database support, automated machine learning, and unified APIs for statistical, ML, and deep learning models.
A Rust tool for drawing low-resolution graphs directly in the terminal for quick data analysis from logs and text files.
A high-performance, high-precision multithreaded StatsD server written in Rust with clustering and fault tolerance.
A real-time Bitcoin price prediction system using LSTM models and Twitter sentiment analysis.
An Elixir library for generating date recurrences based on iCalendar events, supporting schedules with complex rules.
An Elixir driver for InfluxDB supporting both v1.x and v2.x versions with Flux and InfluxQL query capabilities.
A blazingly fast, highly scalable graph-based stream processing framework for latency-critical applications like electronic trading and real-time AI.
A Java and REST library for representing time as an on-demand tree in Neo4j, enabling temporal event modeling and queries.
A Prometheus exporter that collects and exposes memcached server metrics for monitoring and alerting.
A .NET library for efficiently sending time series data to InfluxDB 1.x using the Line Protocol.
An Elixir client for Riak with connection pooling, CRDT, and Timeseries support.
An OPC UA client that logs industrial data from OPC UA servers to InfluxDB with buffering to prevent data loss.
A StatsD backend that forwards metrics to InfluxDB using either aggregated flush or raw proxy strategies.
A cross-platform .NET library for interacting with InfluxDB time-series databases via REST API.
An open-source AIOps platform for holistic monitoring of networks, systems, and applications from cloud to edge.
A Vue.js visualization library offering a comprehensive suite of D3.js and Leaflet components for building interactive dashboards.
A .NET client library for Prometheus monitoring, providing extensible and high-performance metric collection.
A Python package for Dynamic Mode Decomposition, providing tools to extract spatiotemporal coherent structures from time-varying datasets.
An asynchronous Scala client library for interacting with InfluxDB, providing non-blocking operations for data writing, querying, and database management.
An open-source data pipeline that aggregates and standardizes heterogeneous public COVID-19 data from multiple global sources.
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