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dygraphs - Interactive visualizations of time series using JavaScript and the HTML canvas tag
Learn more about it at dygraphs.com. Get help with dygraphs by browsing the on Stack Overflow (preferred) and Google Groups.
dygraphs visualization charting-library timeseries canvas chartm3 - M3 monorepo - Distributed TSDB and Query Engine, Prometheus Sidecar, Metrics Platform
Distributed TSDB and Query Engine, Prometheus Sidecar, Metrics Aggregator, and more. (For a fully comprehsensive getting started guide, see our single node how-to).
database timeseries timeseries-databasefacette - Time series data visualization software
Facette is a open source web application to display time series data from various sources — such as collectd, Graphite, InfluxDB or KairosDB — on graphs. To learn more on its architecture, read this page. The source code is available at Github and is licensed under the terms of the BSD license.
timeseries collectd graphite influxdb kairosdb rrdtooluPlot - 📈 A small, fast chart for time series, lines, areas, ohlc & bars
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®.
lightweight chart charts streaming performance timeseries time-series analytics graph graphs plot data-visualization plotting ohlc line-chart trend-analysis micro time series line area trend bargo-carbon - Golang implementation of Graphite/Carbon server with classic architecture: Agent -> Cache -> Persister
Faster than default carbon. In all conditions :) How much faster depends on server hardware, storage-schemas, etc. There were some efforts to find out maximum possible performance of go-carbon on a hardware (2xE5-2620v3, 128GB RAM, local SSDs).
devops timeseries graphite carbon hacktoberfest whisperPandas - Powerful Python Data Analysis Toolkit
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions. It supports aggregating or transforming data with a powerful group by engine allowing split-apply-combine operations on data sets, High performance merging and joining of data sets, Time series-functionality, Hierarchical axis indexing and lot more.
data-analysis data econometrics models numpy statistics tables tabular timeseriesgo-carbon - Golang implementation of Graphite/Carbon server with classic architecture: Agent -> Cache -> Persister
Faster than default carbon. In all conditions :) How much faster depends on server hardware, storage-schemas, etc. There were some efforts to find out maximum possible performance of go-carbon on a hardware (2xE5-2620v3, 128GB RAM, local SSDs).
carbon graphite timeseries whisper devopsnode-influx - 📈 The InfluxDB Client for Node.js and Browsers
For browsers, see the browser setup instructions. Version 3.x.x is compatible with InfluxDB 0.8.x - 3.x will no longer have updates by core contributers, please consider upgrading.
influx influxdb-js-client timeseries influxdb typescript time series client dbEventQL - The database for large-scale event analytics
EventQL is a distributed, column-oriented database built for large-scale event collection and analytics. It runs super-fast SQL and MapReduce queries. Its features include Automatic partitioning, Columnar storage, Standard SQL support, Scales to petabytes, Timeseries and relational data, Fast range scans and lot more.
database columnar-database columnar-storage timeseries streaming distributed-database distributed analytics column-storeMarketstore - DataFrame Server for Financial Timeseries Data
MarketStore is a database server optimized for financial timeseries data. You can think of it as an extensible DataFrame service that is accessible from anywhere in your system, at higher scalability. It is designed from the ground up to address scalability issues around handling large amounts of financial market data used in algorithmic trading backtesting, charting, and analyzing price history with data spanning many years, including tick-level for the all US equities or the exploding crypto currencies space. If you are struggling with managing lots of HDF5 files, this is perfect solution to your problem.
marketstore financial-analysis pandas-dataframe trading database timeseries timeseries-database cryptocurrency gdaxGriddb - High performance, High scalability and High reliability database for big data
GridDB is an In-Memory NoSQL Database for highly scalable IoT applications . It has a KVS (Key-Value Store)-type data model that is suitable for sensor data stored in a timeseries. It is a database that can be easily scaled-out according to the number of sensors. High Reliability It is equipped with a structure to spread out the replication of key value data among fellow nodes so that in the event of a node failure, automatic failover can be carried out in a matter of seconds by using the replication function of other nodes.
nosql key-value-store in-memory timeseries timeseries-database iotflint - A Time Series Library for Apache Spark
The ability to analyze time series data at scale is critical for the success of finance and IoT applications based on Spark. Flint is Two Sigma's implementation of highly optimized time series operations in Spark. It performs truly parallel and rich analyses on time series data by taking advantage of the natural ordering in time series data to provide locality-based optimizations. Flint is an open source library for Spark based around the TimeSeriesRDD, a time series aware data structure, and a collection of time series utility and analysis functions that use TimeSeriesRDDs. Unlike DataFrame and Dataset, Flint's TimeSeriesRDDs can leverage the existing ordering properties of datasets at rest and the fact that almost all data manipulations and analysis over these datasets respect their temporal ordering properties. It differs from other time series efforts in Spark in its ability to efficiently compute across panel data or on large scale high frequency data.
spark timeseriesreact-timeseries-charts - Declarative and modular timeseries charting components for React
This library contains a set of modular charting components used for building flexible interactive charts. It was built for React from the ground up, specifically to visualize timeseries data and network traffic data in particular. Low level elements are constructed using d3, while higher level composability is provided by React. Charts can be stacked as rows, overlaid on top of each other, or any combination, all in a highly declarative manner. The library is used throughout the public facing ESnet Portal.
chart timeseries react pond d3 chartssiridb-server - SiriDB is a highly-scalable, robust and super fast time series database
SiriDB is a highly-scalable, robust and super fast time series database. For Ubuntu we have a deb package available which can be downloaded here.
ticker-data siridb-server time-series timeseries database siridbK-Nearest-Neighbors-with-Dynamic-Time-Warping - Python implementation of KNN and DTW classification algorithm
When it comes to building a classification algorithm, analysts have a broad range of open source options to choose from. However, for time series classification, there are less out-of-the box solutions. I began researching the domain of time series classification and was intrigued by a recommended technique called K Nearest Neighbors and Dynamic Time Warping. A meta analysis completed by Mitsa (2010) suggests that when it comes to timeseries classification, 1 Nearest Neighbor (K=1) and Dynamic Timewarping is very difficult to beat [1].
machine-learning timeseries classification-algorithm human-activity-recognition nearest-neighbors dynamic-programming dynamic-time-warpingCronos
This is a complete time series analysis package written in C#. It provides a number of tools for data manipulation, and supports a range of different models, including ARMA and GARCH models. A plugin framework allows developers to create their own custom models and transforms.
finance timeseries todoTime-series Framework
Core framework used to manage, process and respond to dynamic changes in fast moving streaming time-series data in real-time.
framework measurement-routing stream-processing timeseriesGnocchi - Time series database
Gnocchi is an open-source |time series| database. The problem that Gnocchi solves is the storage and indexing of |time series| data and resources at a large scale. This is useful in modern cloud platforms which are not only huge but also are dynamic and potentially multi-tenant. Gnocchi takes all of that into account. Gnocchi has been designed to handle large amounts of aggregates being stored while being performant, scalable and fault-tolerant. While doing this, the goal was to be sure to not build any hard dependency on any complex storage system.
timeseries timeseries-database gnocchi time-series-database time-series database aggregationtidyquant - Bringing financial analysis to the tidyverse
tidyquant integrates the best resources for collecting and analyzing financial data, zoo, xts, quantmod, TTR, and PerformanceAnalytics, with the tidy data infrastructure of the tidyverse allowing for seamless interaction between each. You can now perform complete financial analyses in the tidyverse. Our short introduction to tidyquant on YouTube.
stock-prices stock-symbol multiple-stocks stock-exchanges financial-data tidyverse stock-indexes stock-lists financial-statements financial-analysis quantmod xts ttr performanceanalytics dplyr time-series timeseries performance-analysis stock-performance stock
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