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time-series-database · GitHub Topics · GitHub
Here are
74 public repositories
matching this topic...
High-performance, scalable time-series database designed for Industrial IoT (IIoT) scenarios
A time-series database for high-performance real-time analytics packaged as a Postgres extension
QuestDB is a high performance, open-source, time-series database
Updated
Dec 29, 2025
Java
A cloud-native open source distributed time series database with high performance, high compression ratio and high availability.
Updated
Sep 26, 2025
Rust
An embedded time-series database
CNCF sandbox project, an open source distributed time-series database with high concurrency, high performance, and high scalability
Resources for working with time series and sequence data
Rust Client for the InfluxDB Time Series Database
Updated
Dec 15, 2025
Rust
a Python toolbox loads 172 public time series datasets for machine/deep learning with a single line of code. Datasets from multiple domains including healthcare, financial, power, traffic, weather, and etc.
Updated
Nov 24, 2025
Python
machbase-neo = time series database + mqtt + http + data visualization
The tiny time series database optimized for your happiness.
Updated
Sep 20, 2025
Python
High performance time series database
Updated
Nov 26, 2025
Java
THIS REPO HAS MOVED TO https://github.com/apache/incubator-iotdb . TsFile is a columnar file format designed for time-series data, which supports efficient compression and query. It is easy to integrate TsFile with your IOT big data processing frameworks.
Updated
Dec 18, 2018
Java
TickTockDB is an OpenTSDB-like time series database, with much better performance.
Basic Rules of Cassandra Data Modeling
Updated
Dec 29, 2025
TypeScript
Time Series Database based on Cassandra with Prometheus remote read/write support 🗄️
Python 3 interface to the HECLIB (Version 6 only) for 64 bit using SWIG. Primarily to provide access to HEC-DSS format
Updated
Apr 11, 2025
Python
KWDB is a distributed multi-model database tailored for AIoT scenarios. It supports the concurrent creation of time-series and relational databases within the same instance and the integrated processing of multi-model data. KWDB can process time-series data with high efficiency.
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