Displaying 1 to 20 from 182 results

cube - Cube: A system for time series visualization.

  •    Javascript

A system for analyzing time series data using MongoDB and Node.

whisper - Whisper is a file-based time-series database format for Graphite.

  •    Python

Whisper is a fixed-size database, similar in design and purpose to RRD (round-robin-database). It provides fast, reliable storage of numeric data over time. Whisper allows for higher resolution (seconds per point) of recent data to degrade into lower resolutions for long-term retention of historical data.Please refer to the instructions at readthedocs.

Kibana - Analytics and search dashboard for Elasticsearch

  •    Javascript

Kibana provides flexible analytics and visualization platform for Elasticsearch. It understands large volume of data and easily create bar charts, line and scatter plots, histograms, pie charts, and maps. It can provide real-time summary and charting of streaming data. Kibana is a snap to setup and start using. Kibana strives to be easy to get started with, while also being flexible and powerful, just like Elasticsearch.

carbon - Carbon is one of the components of Graphite, and is responsible for receiving metrics over the network and writing them down to disk using a storage backend

  •    Python

Carbon is responsible for receiving metrics over the network, caching them in memory for "hot queries" from the Graphite-Web application, and persisting them to disk using the Whisper time-series library.Please refer to the instructions at readthedocs.

Prophet - Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth

  •    Python

Prophet is a procedure for forecasting time series data. It is based on an additive model where non-linear trends are fit with yearly and weekly seasonality, plus holidays. It works best with daily periodicity data with at least one year of historical data. Prophet is robust to missing data, shifts in the trend, and large outliers.Prophet is open source software released by Facebook's Core Data Science team. It is available for download on CRAN and PyPI.

Timescaledb - An open-source time-series database optimized for fast ingest and complex queries

  •    PLpgSQL

TimescaleDB is an open-source database designed to make SQL scalable for time-series data. It is engineered up from PostgreSQL, providing automatic partitioning across time and space (partitioning key), as well as full SQL support. TimescaleDB is packaged as a PostgreSQL extension and released under the Apache 2 open-source license.

ElasticSearch - Distributed, RESTful search and analytics engine

  •    Java

Elasticsearch is a distributed, RESTful search and analytics engine capable of solving a growing number of use cases. As the heart of the Elastic Stack, it centrally stores your data so you can discover the expected and uncover the unexpected.

tsfresh - Automatic extraction of relevant features from time series:

  •    Jupyter

"Time Series Feature extraction based on scalable hypothesis tests". The package contains many feature extraction methods and a robust feature selection algorithm.

hypertools - A Python toolbox for gaining geometric insights into high-dimensional data

  •    Python

HyperTools is designed to facilitate dimensionality reduction-based visual explorations of high-dimensional data. The basic pipeline is to feed in a high-dimensional dataset (or a series of high-dimensional datasets) and, in a single function call, reduce the dimensionality of the dataset(s) and create a plot. The package is built atop many familiar friends, including matplotlib, scikit-learn and seaborn. Our package was recently featured on Kaggle's No Free Hunch blog. For a general overview, you may find this talk useful (given as part of the MIND Summer School at Dartmouth). Check the repo of Jupyter notebooks from the HyperTools paper.

falcon-plus - An open-source and enterprise-level monitoring system.

  •    Go

Please refer to ./docker/README.md. NOTE: be sure to check redis and mysql-server have successfully started.

InfluxDB - Scalable datastore for metrics, events, and real-time analytics

  •    Go

InfluxDB is an open source time series platform. This includes APIs for storing and querying data, processing it in the background for ETL or monitoring and alerting purposes, user dashboards, and visualizing and exploring the data and more. The master branch on this repo now represents the latest InfluxDB, which now includes functionality for Kapacitor (background processing) and Chronograf (the UI) all in a single binary. It is designed to handle high write and query loads and provides a SQL-like query language called InfluxQL for interacting with data.

Telegraf - The plugin-driven server agent for collecting & reporting metrics

  •    Go

Telegraf is an agent written in Go for collecting, processing, aggregating, and writing metrics. Telegraf is plugin-driven, Input Plugins collect metrics from the system, services, or 3rd party APIs, Processor Plugins transform, decorate, and/or filter metrics, Aggregator Plugins create aggregate metrics (e.g. mean, min, max, quantiles, etc.) and Output Plugins write metrics to various destinations.

Cortex - A multitenant, horizontally scalable Prometheus as a Service

  •    Go

Cortex provides horizontally scalable, highly available, multi-tenant, long term storage for Prometheus. Cortex can run across multiple machines in a cluster, exceeding the throughput and storage of a single machine. This enables you to send the metrics from multiple Prometheus servers to a single Cortex cluster and run "globally aggregated" queries across all data in a single place. Cortex makes your PromQL queries blazin' fast through aggressive parallelization and caching.

netdata - Real-time performance monitoring, done right! https://www.netdata.cloud

  •    C

Netdata's distributed, real-time monitoring Agent collects thousands of metrics from systems, hardware, containers, and applications with zero configuration. It runs permanently on all your physical/virtual servers, containers, cloud deployments, and edge/IoT devices, and is perfectly safe to install on your systems mid-incident without any preparation. You can install Netdata on most Linux distributions (Ubuntu, Debian, CentOS, and more), container platforms (Kubernetes clusters, Docker), and many other operating systems (FreeBSD, macOS). No sudo required.

uPlot - 📈 A small, fast chart for time series, lines, areas, ohlc & bars

  •    Javascript

μPlot is a fast, memory-efficient Canvas 2D-based chart for plotting time series, lines, areas, ohlc & bars; from a cold start it can create an interactive chart containing 150,000 data points in 135ms, scaling linearly at ~25,000 pts/ms. In addition to fast initial render, the zooming and cursor performance is by far the best of any similar charting lib; at ~35 KB, it's likely the smallest and fastest time series plotter that doesn't make use of context-limited WebGL shaders or WASM, both of which have much higher startup cost and code size. However, if you need 60fps performance with massive streaming datasets, uPlot can only get you so far. WebGL should still be the tool of choice for applications like realtime signal or waveform visualizations: See danchitnis/webgl-plot, huww98/TimeChart, epezent/implot, or commercial products like LightningChart®.

alibi-detect - Algorithms for outlier, adversarial and drift detection

  •    Python

Alibi Detect is an open source Python library focused on outlier, adversarial and drift detection. The package aims to cover both online and offline detectors for tabular data, text, images and time series. Both TensorFlow and PyTorch backends are supported for drift detection. For more background on the importance of monitoring outliers and distributions in a production setting, check out this talk from the Challenges in Deploying and Monitoring Machine Learning Systems ICML 2020 workshop, based on the paper Monitoring and explainability of models in production and referencing Alibi Detect.

QuestDB - Fast relational time-series database

  •    Java

QuestDB is a high-performance, open-source SQL database for applications in financial services, IoT, machine learning, DevOps and observability. It includes endpoints for PostgreSQL wire protocol, high-throughput schema-agnostic ingestion using InfluxDB Line Protocol, and a REST API for queries, bulk imports, and exports.

Merlion - Merlion: A Machine Learning Framework for Time Series Intelligence

  •    Python

Merlion is a Python library for time series intelligence. It provides an end-to-end machine learning framework that includes loading and transforming data, building and training models, post-processing model outputs, and evaluating model performance. It supports various time series learning tasks, including forecasting and anomaly detection for both univariate and multivariate time series. This library aims to provide engineers and researchers a one-stop solution to rapidly develop models for their specific time series needs, and benchmark them across multiple time series datasets. The table below provides a visual overview of how Merlion's key features compare to other libraries for time series anomaly detection and/or forecasting.

OpenTSDB - A scalable, distributed Time Series Database.

  •    Java

OpenTSDB is a distributed, scalable Time Series Database (TSDB) written on top of HBase. OpenTSDB was written to address a common need: store, index and serve metrics collected from computer systems (network gear, operating systems, applications) at a large scale, and make this data easily accessible and graphable.

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