Hacker News with Generative AI: Time Series

Time-Series vs. Streaming Databases: Key Differences and Use Cases (risingwave.com)
Changing Forecasts for Python Questions on Stack Overflow (win-vector.com)
I recently conducted a small time series workshop session for AI+ training hosted by ODSC. It went really well, and I’d be happy to offer longer interactive workshops going forward (please reach out if your team would like one!).
The power of interning: making a time series database smaller (gendignoux.com)
This week-end project started by browsing the open-data repository of Paris’ public transport network, which contains various APIs to query real-time departures, current disruptions, etc.
Show HN: The news in the last 30, 14, 7, 3, or 1 days (ubershmekel.github.io)
VictoriaLogs Beats Elasticsearch, MongoDB and PostgreSQL in ClickBench (ycombinator.com)
VictoriaLogs Beats Elasticsearch, MongoDB and PostgreSQL in ClickBench
The Rise of Open Source Time Series Databases (victoriametrics.com)
Time series databases allow you to store and query metrics efficiently. For example, if you want to forecast load on your servers, or identify intermittent faults with your production services, time series databases can help. Besides infrastructure monitoring, time series databases have been invaluable in finance, IoT applications, manufacturing, and more.
Timeseries Indexing at Scale (krylysov.com)
Training a time series model using transformers at Datadog (arxiv.org)
Show HN: Every mountain, building and tree shadow mapped for any date and time (shademap.app)
Moment: A Family of Open Time-Series Foundation Models (arxiv.org)
TimeGPT: Production Ready Time Series Foundation Model for Forecasting (github.com/Nixtla)
TimesFM: Time Series Foundation Model for time-series forecasting (github.com/google-research)