HAL (France)
open access
Reviving AnalySeries: PyAnalySeries, a modern and collaborative open-source tool for time-series analysis
We present PyAnalySeries, a program designed for the processing of time series, based on the (almost obsolete) AnalySeries of Paillard et al. (1996). Originally conceived for the treatment of paleoclimatic data, it is also useful for other types of 2D datasets.
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- TSExplorer: An interactive data annotation and exploration tool for time-series data#799707
- Tabby: An Open Pretraining Recipe for Time Series Foundation Models#1083445
- Continuous Symmetry Discovery and Enforcement Using Vector Fields With Application to Time Series and Image Data#176211
- Cyclical dynamics of industrial production and employment: Markov chain-based estimates and tests#954849
- CLUES-WEASEL: No additional clues required to choose your time series clustering algorithm#984516
Record · ID 1399651
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive