mlsanityData to 7 Oct 2026

OpenML-Python: an extensible Python API for OpenML

arXiv 1911.02490 ↗First posted 6 Nov 2019cs.LG stat.MLcited by 62

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Abstract (arXiv)

OpenML is an online platform for open science collaboration in machine learning, used to share datasets and results of machine learning experiments. In this paper we introduce OpenML-Python, a client API for Python, opening up the OpenML platform for a wide range of Python-based tools. It provides easy access to all datasets, tasks and experiments on OpenML from within Python. It also provides functionality to conduct machine learning experiments, upload the results to OpenML, and reproduce results which are stored on OpenML. Furthermore, it comes with a scikit-learn plugin and a plugin mechanism to easily integrate other machine learning libraries written in Python into the OpenML ecosystem. Source code and documentation is available at https://github.com/openml/openml-python/.

Key facts. Cited by 62 papers in the map (data through 7 Oct 2026). First posted on arXiv 6 Nov 2019.

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Citing papers per year: 2021: 8; 2022: 6; 2023: 15; 2024: 9; 2025: 14; 2026: 10.

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  2. 2021Well-tuned Simple Nets Excel on Tabular Datasetscited by 151
  3. 2021SCARF: Self-Supervised Contrastive Learning using Random Feature Corruptioncited by 151
  4. 2023Large Language Models for Automated Data Science: Introducing CAAFE for Context-Aware Automated Feature Engineeringcited by 125
  5. 2021HPO-B: A Large-Scale Reproducible Benchmark for Black-Box HPO based on OpenMLcited by 75
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  8. 2025LLM-FE: Automated Feature Engineering for Tabular Data with LLMs as Evolutionary Optimizerscited by 35
  9. 2024Beyond TreeSHAP: Efficient Computation of Any-Order Shapley Interactions for Tree Ensemblescited by 30
  10. 2024KernelSHAP-IQ: Weighted Least-Square Optimization for Shapley Interactionscited by 22
  11. 2023Sampling weights of deep neural networkscited by 20
  12. 2021abess: A Fast Best Subset Selection Library in Python and Rcited by 16
38 more
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  4. 2025TabPFN: One Model to Rule Them All?cited by 10
  5. 2023OpenBox: A Python Toolkit for Generalized Black-box Optimizationcited by 9
  6. 2025PCS-UQ: Uncertainty Quantification via the Predictability-Computability-Stability Frameworkcited by 9
  7. 2022Incremental Permutation Feature Importance (iPFI): Towards Online Explanations on Data Streamscited by 8
  8. 2023Assembled-OpenML: Creating Efficient Benchmarks for Ensembles in AutoML with OpenMLcited by 8
  9. 2022Interaction-Grounded Learning with Action-inclusive Feedbackcited by 7
  10. 2024Optimal or Greedy Decision Trees? Revisiting their Objectives, Tuning, and Performancecited by 7
  11. 2021When are Deep Networks really better than Decision Forests at small sample sizes, and how?cited by 6
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  13. 2026PolySHAP: Extending KernelSHAP with Interaction-Informed Polynomial Regressioncited by 6
  14. 2023Self-Adjusting Weighted Expected Improvement for Bayesian Optimizationcited by 5
  15. 2024ALPBench: A Benchmark for Active Learning Pipelines on Tabular Datacited by 5
  16. 20242D-OOB: Attributing Data Contribution Through Joint Valuation Frameworkcited by 4
  17. 2022Boosted Off-Policy Learningcited by 3
  18. 2022Mind the Gap: Measuring Generalization Performance Across Multiple Objectivescited by 3
  19. 2023Conceptual Views on Tree Ensemble Classifierscited by 3
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  21. 2026Do Tabular Foundation Models Agree with Themselves?cited by 3
  22. 2023iSAGE: An Incremental Version of SAGE for Online Explanation on Data Streamscited by 2
  23. 2023A systematic study comparing hyperparameter optimization engines on tabular datacited by 2
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  25. 2023Tiny Classifier Circuits: Evolving Accelerators for Tabular Datacited by 1
  26. 2023OpenAL: Evaluation and Interpretation of Active Learning Strategiescited by 1
  27. 2023CAST: Cluster-Aware Self-Training for Tabular Data via Reliable Confidencecited by 1
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  29. 2025Unifying and Optimizing Data Values for Selection via Sequential Decision-Makingcited by 1
  30. 2025LCDB 1.1: A Database Illustrating Learning Curves Are More Ill-Behaved Than Previously Thoughtcited by 1
  31. 2025Detection of Personal Data in Structured Datasets Using a Large Language Modelcited by 1
  32. 2025WHAR Datasets: An Open Source Library for Wearable Human Activity Recognitioncited by 1
  33. 2025Talking Trees: Reasoning-Assisted Induction of Decision Trees for Tabular Datacited by 1
  34. 2025iLTM: Integrated Large Tabular Modelcited by 1
  35. 2026Minimum Wasserstein distance estimator under covariate shift: closed-form, super-efficiency and irregularitycited by 1
  36. 2026NSR-Boost: A Neuro-Symbolic Residual Boosting Framework for Industrial Legacy Modelscited by 1
  37. 2026Synthetic-Powered Multiple Testing with FDR Controlcited by 1
  38. 2021Extremely Simple Streaming Forestcited by 0

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