machbase-neo = time series database + mqtt + http + data visualization
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Updated
Jul 26, 2024 - Go
machbase-neo = time series database + mqtt + http + data visualization
The client implementation for SkyWalking BanyanDB in Java
[ICLR 2024] Official implementation of "TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting"
A self-hostable CDN for databases. Spice provides a unified SQL query interface and portable runtime to locally materialize, accelerate, and query datasets from any database, data warehouse, or data lake.
A python library for user-friendly forecasting and anomaly detection on time series.
Document for GreptimeDB
TFB: Towards Comprehensive and Fair Benchmarking of Time Series Forecasting Methods (PVLDB 2024) https://www.vldb.org/pvldb/vol17/p2363-hu.pdf
🦠 A simple and fast API for tracking the coronavirus (COVID-19) outbreak in Greece 🇬🇷
TDengine is an open source, high-performance, cloud native time-series database optimized for Internet of Things (IoT), Connected Cars, Industrial IoT and DevOps.
A nushell tool to keep track of the issue tracker over time.
InSAR phase linking library for PS/DS processing
The data and operations foundation for hardware.
Russian Day-Ahead Wholesale Electricity Market Price Forecasts
An open-source time-series SQL database optimized for fast ingest and complex queries. Packaged as a PostgreSQL extension.
TimeGPT-1: production ready pre-trained Time Series Foundation Model for forecasting and anomaly detection. Generative pretrained transformer for time series trained on over 100B data points. It's capable of accurately predicting various domains such as retail, electricity, finance, and IoT with just a few lines of code 🚀.
Probabilistic Hierarchical forecasting 👑 with statistical and econometric methods.
CrateDB is a distributed and scalable SQL database for storing and analyzing massive amounts of data in near real-time, even with complex queries. It is PostgreSQL-compatible, and based on Lucene.
QuestDB is an open source time-series database for fast ingest and SQL queries
Stochastc copula models for VaR and CVaR risk assessment
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