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8 best JavaScript Time Series Database libraries in 2022

by Open Weaver kits ✔ Updated: May 17, 2022

A time series database is a database that is optimized for handling and analyzing temporal data. It is a database designed to store historical data and make it available for analysis. JavaScript Time Series Database libraries are a new trend in web development. They allow you to store and query time series data easily, with the help of JavaScript. A time series database has many uses but is most commonly used for storing sensor data in IoT applications. Time series databases are used to store, retrieve and analyze time series data. Time series databases are used in many industries such as finance, manufacturing, retail, and telecommunications. A few of the most popular JavaScript Time Series Database open source libraries for developers are: uPlot - fast chart for time series; cubism - JavaScript library for time series visualization; firefly - web application aimed at powerful, flexible time series graphing.

uPlotby leeoniya

JavaScript star image 6893 Version:1.6.19

License: Permissive (MIT)

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

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uPlotby leeoniya

JavaScript star image 6893 Version:1.6.19 License: Permissive (MIT)

📈 A small, fast chart for time series, lines, areas, ohlc & bars
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cubismby square

JavaScript star image 4913 Version:Current

License: Others (Non-SPDX)

Cubism.js: A JavaScript library for time series visualization.

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cubismby square

JavaScript star image 4913 Version:Current License: Others (Non-SPDX)

Cubism.js: A JavaScript library for time series visualization.
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fireflyby Yelp

JavaScript star image 172 Version:v1.1.7

License: Permissive (ISC)

Firefly is a web application aimed at powerful, flexible time series graphing for web developers.

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fireflyby Yelp

JavaScript star image 172 Version:v1.1.7 License: Permissive (ISC)

Firefly is a web application aimed at powerful, flexible time series graphing for web developers.
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arcadedbby ArcadeData

JavaScript star image 152 Version:22.2.1

License: Permissive (Apache-2.0)

ArcadeDB Multi-Model Database, one DBMS that supports SQL, Cypher, Gremlin, HTTP/JSON, MongoDB and Redis. ArcadeDB is a conceptual fork of OrientDB, the first Multi-Model DBMS.

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arcadedbby ArcadeData

JavaScript star image 152 Version:22.2.1 License: Permissive (Apache-2.0)

ArcadeDB Multi-Model Database, one DBMS that supports SQL, Cypher, Gremlin, HTTP/JSON, MongoDB and Redis. ArcadeDB is a conceptual fork of OrientDB, the first Multi-Model DBMS.
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tsviewdbby google

JavaScript star image 124 Version:0.1

License: Permissive (Apache-2.0)

High-performance storage and graphing web service for time-series of time-series.

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tsviewdbby google

JavaScript star image 124 Version:0.1 License: Permissive (Apache-2.0)

High-performance storage and graphing web service for time-series of time-series.
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t6by mathcoll

JavaScript star image 23 Version:MS18

License: Strong Copyleft (GPL-3.0)

:sunny::house_with_garden: t6 is a "Data-first" IoT platform to connect physical Objects with time-series DB and perform Data Analysis.

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t6by mathcoll

JavaScript star image 23 Version:MS18 License: Strong Copyleft (GPL-3.0)

:sunny::house_with_garden: t6 is a "Data-first" IoT platform to connect physical Objects with time-series DB and perform Data Analysis.
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qetchby huda-lab

JavaScript star image 20 Version:Current

License: Permissive (MIT)

Qetch is a tool that allows users to freely sketch patterns on a scale-less canvas to query time series data without specifying query length or amplitude.

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qetchby huda-lab

JavaScript star image 20 Version:Current License: Permissive (MIT)

Qetch is a tool that allows users to freely sketch patterns on a scale-less canvas to query time series data without specifying query length or amplitude.
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loganby davidmoten

JavaScript star image 6 Version:0.3.1

License: Permissive (Apache-2.0)

Java webapp for time series analysis of log files

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loganby davidmoten

JavaScript star image 6 Version:0.3.1 License: Permissive (Apache-2.0)

Java webapp for time series analysis of log files
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