📚 Time-Series Data Resources

Python

• influxdb-client: Official InfluxDB 2.x Python client
• pandas: Data manipulation and time-series analysis
• prophet: Facebook's forecasting library
• statsmodels: Statistical modeling and time-series analysis
• sktime: Scikit-learn compatible time-series ML library

Node.js / JavaScript

• @influxdata/influxdb-client: InfluxDB client for Node.js
• pg: PostgreSQL client for TimescaleDB
• prom-client: Prometheus metrics client
• timestream-query: AWS Timestream query library

Go

• influxdb-client-go: Official InfluxDB Go client
• prometheus/client_golang: Prometheus Go client
• lib/pq: PostgreSQL driver for TimescaleDB

Java

• influxdb-client-java: InfluxDB Java client
• postgresql: JDBC driver for TimescaleDB
• simpleclient: Prometheus Java client

Machine Learning & Forecasting

• Prophet: Facebook's automatic forecasting procedure (Python/R)
• ARIMA/SARIMA: Classical statistical models (statsmodels)
• LSTM: Deep learning for time-series (TensorFlow/PyTorch)
• GluonTS: Amazon's probabilistic time-series modeling toolkit
• Darts: Python library for easy time-series forecasting
• NeuralProphet: Neural network-based Prophet successor

Anomaly Detection

• Isolation Forest: Scikit-learn implementation
• DBSCAN: Density-based clustering for anomalies
• One-Class SVM: Unsupervised anomaly detection
• Autoencoders: Neural network-based anomaly detection
• Z-score/MAD: Statistical outlier detection

Online Courses

• Coursera: Time Series Analysis and Forecasting
• Udemy: Time Series Analysis, Forecasting, and Machine Learning
• edX: Analyzing and Visualizing Data with Power BI (includes time-series)
• DataCamp: Introduction to Time Series Analysis in Python

Books

• "Forecasting: Principles and Practice" by Rob J Hyndman and George Athanasopoulos
• "Practical Time Series Analysis" by Aileen Nielsen
• "Introduction to Time Series and Forecasting" by Peter J. Brockwell and Richard A. Davis
• "Time Series Analysis and Its Applications" by Robert H. Shumway and David S. Stoffer

Documentation & Guides

• InfluxDB Documentation: Comprehensive guides and tutorials
• TimescaleDB Docs: PostgreSQL + time-series best practices
• Prometheus Documentation: Monitoring and querying guide
• WIA-DATA-014 Ebook: Complete standard specification and examples

• InfluxDB Community: Forums, Slack, and GitHub discussions
• TimescaleDB Community: Slack channel and community forum
• Prometheus Community: Mailing lists and CNCF Slack
• Stack Overflow: Tags for influxdb, timescaledb, prometheus, time-series
• Reddit: r/datascience, r/MachineLearning for time-series discussions
• WIA Standards: GitHub issues and community discussions

• WIA-DATA-014: Time-Series Data Standard (this standard)
• OpenMetrics: Cloud-native metrics format specification
• OpenTelemetry: Observability framework for traces, metrics, and logs
• InfluxDB Line Protocol: Text-based format for writing time-series data
• Prometheus Exposition Format: Format for exposing metrics