Timeseries
Showing 24 of 24 projects
A JavaScript charting library for creating historical reports and real-time timeseries visualizations.
A JavaScript library for creating interactive, zoomable time series charts using HTML canvas.
A Python machine learning toolkit for time series analysis with scikit-learn compatible API.
High-performance datastore optimized for time series and tick data storage and retrieval.
LinDB is a scalable, high-performance, distributed time series database written in Go.
A fast distributed scalable time series database built on top of Cassandra.
A Rust plotting library powered by Plotly.js for creating interactive and static visualizations.
A Python library with fast C implementations for computing Dynamic Time Warping and other time series distances.
A Python framework for portfolio optimization using deep learning to allocate investment weights in a single forward pass.
An open-source web application for visualizing time series data from multiple sources like collectd, Graphite, and InfluxDB.
A high-performance, zero-dependency JavaScript client library for InfluxDB v1.x, compatible with Node.js and browsers.
A secure time series database backed by Apache Accumulo with Grafana integration for data visualization.
A lightweight time-series database written in Rust, deployable as an embedded library, standalone server, or scalable cluster.
An open-source administration panel and querying interface for InfluxDB databases, available as an Electron app or Docker container.
A Prometheus/Loki remote write proxy that adds Cortex/Mimir/Loki tenant IDs to metrics and logs based on labels.
A blazing fast specialized time-series database optimized for IoT, real-time connected devices, and AI analytics.
A Python feature engineering engine that internally manages past dependent values for continuous calculation of time-based features.
Graphite InfluxDB backend. InfluxDB storage finder / plugin for Graphite API.
An R package providing an interface to InfluxDB for fetching, writing, and managing time series data.
An easy-to-use Python feature store for machine learning, optimized for timeseries data and built on Dask.
Ruby agent for sending custom application metrics to the Instrumental monitoring platform with high reliability and non-blocking operation.
A Node-RED node for uploading timeseries, events, and files to Siemens MindSphere from IoT devices and applications.
An Elixir client library for querying Apache Druid, enabling efficient data analytics and time-series operations.
A pure JavaScript library for linear regression analysis, enabling trendline creation and future value prediction.
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