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Anomaly Detection in Time Series Using Statistical Analysis | by Ivan Shubin | Booking.com Engineering | Apr, 2025 | Medium
GitHub - questdb/questdb: QuestDB is an open source time-series database for fast ingest and SQL queries
GitHub - facebook/prophet: Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
GitHub - GreptimeTeam/greptimedb: GreptimeDB, an open-source, cloud-native, distributed time-series database.
PostgreSQL + TimescaleDB: 1000x Faster Queries, 90% Data Compression, and Much More
GitHub - CeresDB/ceresdb: CeresDB is a high-performance, distributed, schema-less, cloud native time-series database that can handle both time-series and analytics workloads.
tinkoff-ai/etna: ETNA – Time-Series Library
unit8co/darts: A python library for easy manipulation and forecasting of time series.
Beringei: A high-performance time series storage engine | Engineering Blog | Facebook Code | Facebook
InfluxDB API - Reading and Writing Data
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