NetManAIOps/ChatTS
A time series multimodal LLM that enables conversational understanding and reasoning over time series data through question-answering.
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ChatTS is a specialized large language model designed for time series analysis that provides conversational QA capabilities for exploring structure, changes, and relationships across multiple time series of varying lengths. The model natively handles multivariate time series and retains raw numerical values for precise quantitative answers. It integrates with standard LLM pipelines through Transformers and vLLM support, includes complete training and evaluation datasets, and was presented at VLDB 2025.
Frequently asked
- What is NetManAIOps/ChatTS?
- A time series multimodal LLM that enables conversational understanding and reasoning over time series data through question-answering.
- Is ChatTS open source?
- Yes — NetManAIOps/ChatTS is open source, released under the MIT license.
- What language is ChatTS written in?
- NetManAIOps/ChatTS is primarily written in Python.
- How popular is ChatTS?
- NetManAIOps/ChatTS has 462 stars on GitHub.
- Where can I find ChatTS?
- NetManAIOps/ChatTS is on GitHub at https://github.com/NetManAIOps/ChatTS.