Showing 81-100 of 109 projects
A toolkit for time series machine learning and deep learning, focused on data-mining and forecasting.
A Python library for unsupervised time series anomaly detection, useful for data science and ML applications.
A Pytorch-based RNN model for anomaly detection in time-series data.
An aggregating proxy to enable high-availability Prometheus monitoring across multiple instances.
Whisper is a file-based time-series database format for the Graphite monitoring system.
Notebooks for financial economics, including analyses of Federal Reserve, GDP, inflation, and more.
Open Falcon monitoring system - enterprise-grade time-series data collection and alerting platform
An embedded time-series database written in Go for storing and querying metrics data.
A public dataset of daily COVID-19 cases and deaths per country, useful for data analysis and visualization.
A Python toolkit for rule-based/unsupervised anomaly detection in time series data
A Java library for automatically detecting anomalies in large-scale time-series data.
A Python library that helps visualize large time series data using the Plotly data visualization library.
A scalable machine learning library for time series forecasting in Python.
A Python library for portfolio optimization and back-testing in finance.
A scalable time-series machine learning library built with Polars for parallel feature extraction and forecasting.
A framework for using LSTMs to detect anomalies in multivariate time series data for spacecraft missions.
OpenTSLM is a Python library for building time-series language models to reason over medical text and time-series data.
An open source distributed time-series database with high concurrency, high performance, and high scalability.
A terminal-based personal organizer built with Rust, focused on efficiency, mindmaps, and task management.
A cloud-native observability project based on eBPF, focused on containers, metrics, and profiling.
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