Timelion, pronounced "Timeline", brings together totally independent data sources into a single interface, driven by a simple, one-line expression language combining data retrieval, time series combination and transformation, plus visualization. Every Timelion expression starts with a data source function.
https://github.com/elastic/timelionTags | time-series time-series-chart visualization data-visualization analytics |
Implementation | Javascript |
License | Apache |
Platform | OS-Independent |
Cubism.js is a D3 plugin for visualizing time series. Use Cubism to construct better realtime dashboards, pulling data from Graphite, Cube and other sources. Cubism fetches time series data incrementally: after the initial display, Cubism reduces server load by polling only the most recent values. Cubism renders incrementally, too, using Canvas to shift charts one pixel to the left.
time-series time-series-chart visualization data-visualization analyticsKibana 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.
analytics dashboard visualization real-time-charts time-series graph chartsLiveGraph is a framework for real-time data visualisation, analysis and logging. It has a real time plotter that can automatically update graphs of your data while it is still being computed by your application. LiveGraph reads files in a simple CSV-style format. For applications developed in Java, LiveGraph additionally provides an API that handles all data logging and persistency issues.
chart tool graph visualization chart-library-java real-time-chartGrafana is an open source, feature rich metrics dashboard and graph editor for Graphite, Elasticsearch, OpenTSDB, Prometheus and InfluxDB. It is most commonly used for visualizing time series data for Internet infrastructure and application analytics but many use it in other domains including industrial sensors, home automation, weather, and process control.
dashboard visualization real-time-charts time-series graph chartsUse Cases documentation demonstrates solutions to real-world data problems using Axibase Time Series Database (ATSD) and contains in-depth guides for programmatic integration with commonly-used enterprise software systems and services, as well as tutorials for data transformation and visualizations created with ATSD. Interactive visualizations tracking interesting datasets from a variety of sources.
dataset axibase atsd socrata open-data time-series statistical-analysis database visualization time-series-database time-series-analysisXChart is a light-weight and convenient library for plotting data designed to go from data to chart in the least amount of time possible and to take the guess-work out of customizing the chart style.
charts tool graph visualization chart-library-java charts-library charting-libraryCube is an open-source system for visualizing time series data. If you send timestamped events (with optional structured data), you can easily build realtime visualizations of aggregate metrics for internal dashboards. For example, you might use Cube to monitor traffic to your website, counting the number of requests in 5-minute intervals.
visualization dashboard metrics events real-timedygraphs is an open source JavaScript library that produces produces interactive, zoomable charts of time series. It is designed to display dense data sets and enable users to explore and interpret them. Its features include Displays Annotations on the chart, Compatible with the Google Visualization API, Interactive zoom and lot more.
charting-library charting visualizationQuestDB is an open-source NewSQL relational database designed to process time-series data, faster. QuestDB ingests data via HTTP, PostgresSQL wire protocol, Influx line protocol or directly from Java. Reading data is done using SQL via HTTP, PostgreSQL wire protocol or via Java API. The whole database and console fits in a 3.5Mb package.
database time-series-database time-series sql relational-database analytics real-time-analyticsInfluxDB 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.
database time-series metrics time-series-database analytics real-time-analytics monitoringEventDrops is a time based / event series interactive visualization tool powered by D3.js. If you want to pan and zoom on previous data on your own, here is the demo.
dataviz d3Overview: A lot of data that we see in nature are in continuous time series. This workshop will provide an overview on how to do time series analysis and introduce time series forecasting. Audience: People interested in Data analytics on time series data.
LinDB is an open-source Time Series Database which provides high performance, high availability and horizontal scalability. LinDB takes a lot of best practice of TSDB and implements some optimizations based on the characteristics of time series data. Unlike writing a lot of Continuous-Query for InfluxDB, LinDB supports rollup in specific interval automatically after creating the database. Moreover, LinDB is extremely fast for parallel querying and computing of distributed time series data.
time-series-database database monitoring metrics high-performance multi-active-idcs-native distributed-databaseHyperTools 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.
data-visualization high-dimensional-data topic-modeling text-vectorization data-wrangling visualization time-seriesA system for analyzing time series data using MongoDB and Node.
time-seriesKairosDB is a fast distributed scalable time series database written on top of Cassandra. Data can be pushed in KairosDB via multiple protocols : Telnet, Rest, Graphite. KairosDB stores time series in Cassandra, the popular and performant NoSQL datastore. It supports aggregators which can perform an operation on data points and down samples. Standard functions like min, max, sum, count, mean etc.
time-series-database database analytics aggregation time-seriesTimescaleDB 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.
time-series-database postgresql time-series sql postgres tsdb iot financial-analysis analytics database postgresql-extensionDruid is a distributed, column-oriented, real-time analytics data store that is commonly used to power exploratory dashboards in multi-tenant environments. Druid excels as a data warehousing solution for fast aggregate queries on petabyte sized data sets. Druid supports a variety of flexible filters, exact calculations, approximate algorithms, and other useful calculations. Druid can load both streaming and batch data.
analytics column-store time-series time-series-database aggregation no-sqlTrailDB is a library, implemented in C, which allows you to query series of events at blazing speed. TrailDB is also optimized for speed of development: Use its simple API with your favorite language, in your favorite environment. TrailDB's secret sauce is data compression. It leverages predictability of time-based data to compress your data to a fraction of its original size. In contrast to traditional compression, you can query the encoded data directly, decompressing only the parts you need.
database data-analytics event-data big-data time-series time-series-databaseSWTChart is based on Eclipse SWT (Standard Widget Toolkit). All of widgets in SWTChart are composed of SWT, so that you can easily hock listeners to widgets, and also you can easily extend the functionality. It has an ability to handle large data size of series.
chart tool graph visualization chart-library-java
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