v1.5 🍻 Release HELIX

We release HELIX in this new version.

👍 Kudos to Fengming, and congrats on HELIX being accepted as a spotlight paper in ICML 2026!

What's Changed

• build(deps): update tsdb requirement from >=0.7.1 to >=0.8 by @dependabot[bot] in #846
• build(deps): bump conda-incubator/setup-miniconda from 3 to 4 by @dependabot[bot] in #847
• feat: add HELIX model for time series imputation by @milaogou in #848
• build(deps): update benchpots requirement from >=0.4 to >=0.5 by @dependabot[bot] in #843
• build(deps-dev): update pypots requirement from >=1.0 to >=1.4 by @dependabot[bot] in #844
• Refactor HELIX code to simplify the implementation by @WenjieDu in #850
• Release HELIX by @WenjieDu in #851

New Contributors

• @milaogou made their first contribution in #848

Full Changelog: v1.4...v1.5

v1.4 🐛 Bug fix

Fixed some reported bugs in this release.

👍 Kudos to our new contributors @haoyu-haoyu and @shaun0927!

What's Changed

• Update docs by @WenjieDu in #824
• Update docs by @WenjieDu in #825
• Fix failed CI (cannot import name 'GenerationMixin' from 'transformers.generation') by @WenjieDu in #829
• Fix failed greetings with 403 error on new PRs by @WenjieDu in #831
• Update stale manager by @WenjieDu in #832
• Correct arg typing error in ModerTCN by @WenjieDu in #834
• fix: CUDA device compatibility for Mean/Median/Lerp imputers by @haoyu-haoyu in #820
• fix: allocate CRPS accumulator on the input device by @shaun0927 in #837
• build(deps): bump pypa/gh-action-pypi-publish from 1.13.0 to 1.14.0 by @dependabot[bot] in #835
• fix: validate inputs and preserve numpy return type in calc_quantile_loss by @shaun0927 in #839
• fix: keep TS2Vec classifier_type='linear_regression' working with DeprecationWarning by @shaun0927 in #840
• fix: load checkpoints with weights_only when PyTorch supports it by @shaun0927 in #841
• Fix some known issues by @WenjieDu in #842

New Contributors

• @haoyu-haoyu made their first contribution in #820
• @shaun0927 made their first contribution in #837

Full Changelog: v1.3...v1.4

v1.3 🍕 Add TKAN

This new release integrates TKAN (an implementation of Temporal Kolmogorov-Arnold Networks) into PyPOTS, along with some bug fixes. Refer to the below changelog for details.

👍 Kudos to our new contributor @awanawana!

What's Changed

• Add TKAN (Temporal Kolmogorov-Arnold Networks) imputation model by @Copilot in #809
• Update docs by @WenjieDu in #810
• Fix linting issues and update docs by @WenjieDu in #811
• build(deps): bump docker/setup-buildx-action from 3 to 4 by @dependabot[bot] in #817
• build(deps): bump docker/build-push-action from 6 to 7 by @dependabot[bot] in #816
• build(deps): bump docker/login-action from 3 to 4 by @dependabot[bot] in #815
• build(deps): bump docker/setup-qemu-action from 3 to 4 by @dependabot[bot] in #814
• Update docs to add DeepWiki link by @WenjieDu in #818
• fix: add numpy support to calc_quantile_loss function by @awanawana in #822
• Update docs by @WenjieDu in #823

New Contributors

• @awanawana made their first contribution in #822

Full Changelog: v1.2...v1.3

v1.2 🍪 New algorithms and bug fixes

What's Changed

• Fix GPVAE training TypeError: convert length_scale float to tensor in matern_kernel by @Copilot in #799
• Fix MOMENT segfault on multiple GPUs by @Copilot in #800
• Add MixLinear as a forecasting model by @Copilot in #805
• Add TimeMixer++ forecasting task support by @Copilot in #806
• Add SeFT as a classification model by @Copilot in #801
• Update docs by @WenjieDu in #807

New Contributors

• @Copilot made their first contribution in #799

Full Changelog: v1.1...v1.2

v1.1🐞Bug fix

We fixed some known bugs (listed in the changelog) in this release.
👍 Kudos to our new contributors Emmanuel @emmanuel-ferdman and Arina @arinagoncharova2005!

What's Changed

• fix: update threading interface in testing by @emmanuel-ferdman in #761
• Update docs by @WenjieDu in #762
• Update docs and fix deprecated threading.Thread.setDaemon by @WenjieDu in #763
• Update the team page in docs by @WenjieDu in #764
• build(deps): bump actions/first-interaction from 1 to 2 by @dependabot[bot] in #765
• build(deps): bump actions/first-interaction from 1 to 2 by @dependabot[bot] in #767
• build(deps): bump actions/first-interaction from 2 to 3 by @dependabot[bot] in #771
• build(deps): bump actions/checkout from 4 to 5 by @dependabot[bot] in #770
• Update TEFN reference by @WenjieDu in #772
• build(deps): bump actions/setup-python from 5 to 6 by @dependabot[bot] in #776
• build(deps): bump actions/stale from 9 to 10 by @dependabot[bot] in #775
• build(deps): bump pypa/gh-action-pypi-publish from 1.12.4 to 1.13.0 by @dependabot[bot] in #774
• Update configs in greetings by @WenjieDu in #779
• Make CI run on Ubuntu only by @WenjieDu in #782
• Fix TimeMixer channel independence forecasting by @WenjieDu in #780
• Update configs in issue_manager workflow by @WenjieDu in #784
• build(deps): bump tiangolo/issue-manager from 0.5.1 to 0.6.0 by @dependabot[bot] in #786
• build(deps): bump actions/checkout from 5 to 6 by @dependabot[bot] in #791
• Fix the issue of CSAI by @LinglongQian in #788
• Fix n_layers typo in timemixer/timemixerpp.classification() by @WenjieDu in #793
• Update docs by @WenjieDu in #796
• Fix device mismatch in padding function by @arinagoncharova2005 in #794
• Fix multi_class type error in LogisticRegression and device mismatch in torch_pad_nan by @WenjieDu in #798

New Contributors

• @emmanuel-ferdman made their first contribution in #761
• @arinagoncharova2005 made their first contribution in #794

Full Changelog: v1.0...v1.1

v1.0🍻The 1st major version comes

We enabled PatchTST and Autoformer to work on the classification task. In addition, some reported bugs from the community have been fixed. 👍Kudos to our new contributor @zltututu!

Considering the major functionalities in the current stage have all been implemented and we have researched a stable version, this version is released as the 1st major version of PyPOTS as v1.0. This is our new milestone, and let's move forward towards v2.0!

What's Changed

• Fix runtime error in ModernTCN when using multiple layers by @zltututu in #751
• Fix the unintended overwriting issue in TimesNet by @WenjieDu in #756
• Add classification PatchTST by @WenjieDu in #757
• Add classification Autoformer by @WenjieDu in #758
• Update docs by @WenjieDu in #759
• Release v1.0 by @WenjieDu in #760

New Contributors

• @zltututu made their first contribution in #751

Full Changelog: v0.19...v1.0

v0.19📈Implement 3 models for forecasting

MICN, DLinear, and FiLM are implementation for time series forecasting.

What's Changed

• Update docs by @WenjieDu in #743
• Update docs by @WenjieDu in #746
• Add forecasting MICN by @WenjieDu in #747
• Add forecasting DLinear by @WenjieDu in #748
• Add forecasting FiLM by @WenjieDu in #749
• Add forecasting FiLM, DLinear, MICN, and release v0.19 by @WenjieDu in #750

Full Changelog: v0.18...v0.19

v0.18🔍Implement 10 models on anomaly detection

iTransforme, Crossforme, Pyraformer, FEDformer, Informer, Transformer, ETSformer, TimeMixer, Nonstationary Tr., and FiLM are implemented on the anomaly detection task.

What's Changed

• Add 10 new anomaly detection algorithms by @yyysjz1997 in #738
• Add 10 new models by @WenjieDu in #739
• Update docs by @WenjieDu in #741
• Update docs and release v0.18 by @WenjieDu in #742

Full Changelog: v0.17...v0.18

v0.17 Five algos added to anomaly detection

TimeMixer++, SCINet, DLinear, TimesNet, and Reformer are implemented on the anomaly detection task.

👍Kudos to our new contributors Yiyuan @yyysjz1997 and Pavel @Durakavalyanie!

What's Changed

• Add anomaly detection TimesNet by @yyysjz1997 in #725
• Fix unused n_sampling_times argument in CSDI.predict by @Durakavalyanie in #730
• Implement Reformer for anomaly detection by @WenjieDu in #732
• Implement SCINet for anomaly detection by @WenjieDu in #733
• Implement DLinear for anomaly detection by @WenjieDu in #734
• Implement TimeMixerPP for anomaly detection by @WenjieDu in #735
• Update the staling workflow and the PR template by @WenjieDu in #731
• Update docs by @WenjieDu in #736
• Release v0.17 by @WenjieDu in #737

New Contributors

• @yyysjz1997 made their first contribution in #725
• @Durakavalyanie made their first contribution in #730

Full Changelog: v0.16...v0.17

v0.16 Three forecasting algos implemented

ModernTCN, TimesNet, and SegRNN are implemented on the forecasting task in this release.

What's Changed

• Add forecasting TimesNet by @WenjieDu in #705
• Update dependency versions for development environment by @WenjieDu in #709
• Update some CI configs by @WenjieDu in #713
• Fix AttributeError: 'NoneType' object has no attribute 'endswith' in TimeLLM by @WenjieDu in #712
• Add sentencepiece to dependencies of dev env by @WenjieDu in #715
• Exempt issues and PRs with 'potential bug' label from staling by @WenjieDu in #716
• Add forecasting ModernTCN by @WenjieDu in #717
• Add forecasting SegRNN by @WenjieDu in #720
• Add issue manger to auto close completed issues by @WenjieDu in #721
• Update docs by @WenjieDu in #722
• Decrease anomaly rate in CI testing to avoid GPT4TS outputting NaNs by @WenjieDu in #723
• Release v0.16 by @WenjieDu in #724
• Fix failed issue manager by @WenjieDu in #728
• Fix failed greeting workflow by @WenjieDu in #727

Full Changelog: v0.15...v0.16