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Peer-reviewedCC BY 4.0Past Global Changes Magazine

Reviving AnalySeries: PyAnalySeries, a modern and collaborative open-source tool for time-series analysis

  • Francisco Hevia-Cruz
  • P. Brockmann
  • A. Govin
  • Elisabeth Michel
  • D. Paillard
Open at sourcePDFDOICite

Abstract

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.

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Cite

BibTeXRIS
BibTeX
@article{heviacruz2026reviving,
  title = {{Reviving AnalySeries: PyAnalySeries, a modern and collaborative open-source tool for time-series analysis}},
  author = {Francisco Hevia-Cruz and P. Brockmann and A. Govin and Elisabeth Michel and D. Paillard},
  journal = {Past Global Changes Magazine},
  year = {2026},
  month = oct,
  doi = {10.22498/pages.33.2.74},
  url = {https://hal.science/hal-05805942v1},
  note = {CC BY 4.0},
}
RIS
TY  - JOUR
TI  - Reviving AnalySeries: PyAnalySeries, a modern and collaborative open-source tool for time-series analysis
AU  - Francisco Hevia-Cruz
AU  - P. Brockmann
AU  - A. Govin
AU  - Elisabeth Michel
AU  - D. Paillard
PY  - 2026
DA  - 2026/10/19
JO  - Past Global Changes Magazine
DO  - 10.22498/pages.33.2.74
UR  - https://hal.science/hal-05805942v1
AB  - 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.
SN  - 2411-605X
SN  - 2411-9180
ER  -