awesome-time-series
github.com/lmmentel/awesome-time-series ↗Resources for working with time series and sequence data
Use this list with your AI agent
Add the Context Awesome MCP server to Claude, Cursor, or any MCP client, then ask:
"Show me python resources from awesome-time-series"
Installation instructions →What's inside
📦 Packages
🕶️ More Awesomeness
🗄️ Databases
- Amazon TimestreamManaged database services
- atlas
- Azure Database for PostgreSQLManaged database services
- Azure time series insightsManaged database services
- cassandra
- ClickHouse
🎓 Courses
- Analytics Vidhya - Time Series Forecasting using Python
Time Series Forecasting using Python
- Coursera - Intro to Time Series Analysis in R
Intro to Time Series Analysis in R
- Coursera - Practical Time Series Analysis
Practical Time Series Analysis
- Coursera - Sequences, Time Series and Prediction
Sequences, Time Series and Prediction
- Data For Science - Time Series for Everyone
Time Series for Everyone
- Kaggle - Time Series
Time Series
✏️ Annotation and Labeling
- AnnotateChange
A simple flask application to collect annotations for the Turing Change Point Dataset, a benchmark dataset for change point detection algorithms.
- Curve
An open-source tool to help label anomalies on time-series data
- TagAnomaly
Anomaly detection analysis and labeling tool, specifically for multiple time series (one time series per category)
- time-series-annotator
Time Series Annotation Library implements classification tasks for time series.
📚 Books
⚙️ Applications
Showing a sample of 217 resources. View the full list on GitHub →