Alternatives and similar repositories for parallel-pandas

Users that are interested in parallel-pandas are comparing it to the libraries listed below

• Matt-OP / fasteda
  A python module that provides a quick way to overview a DataFrame
  ☆50Updated 2 years ago
• FBruzzesi / sklearn-smithy
  Toolkit to forge scikit-learn compatible estimators
  ☆19Updated 3 weeks ago
• MartinWeigl / pycaleva
  A framework for calibration measurement of binary probabilistic models
  ☆29Updated last year
• FBruzzesi / timebasedcv
  Time based splits for cross validation
  ☆39Updated 3 weeks ago
• koaning / scikit-mdn
  A mixture density network, by PyTorch, for scikit-learn
  ☆24Updated last year
• scikit-learn-contrib / skdag
  A more flexible alternative to scikit-learn Pipelines
  ☆37Updated 6 months ago
• jmoralez / window_ops
  Fast window operations
  ☆45Updated last year
• drumtorben / polars-ts
  Polars Time Series Extension
  ☆32Updated last month
• koaning / scikit-churn
  Exploring some issues related to churn
  ☆17Updated last year
• Blue-Yonder-OSS / cyclic-boosting
  implementation of Cyclic Boosting machine learning algorithms
  ☆94Updated last year
• sktime / sktime-tutorial-europython-2023
  ☆14Updated 2 years ago
• erdogant / hgboost
  hgboost is a python package for hyper-parameter optimization for xgboost, catboost or lightboost using cross-validation, and evaluating t…
  ☆64Updated 9 months ago
• NorskRegnesentral / skchange
  skchange provides sktime-compatible change detection and changepoint-based anomaly detection algorithms
  ☆41Updated 3 months ago
• ddelange / mapply
  Sensible multi-core apply function for Pandas
  ☆88Updated 3 weeks ago
• koaning / scikit-playtime
  Rethinking machine learning pipelines
  ☆34Updated 2 months ago
• awesome-panel / panel-vegafusion
  Build interactive big data apps with Altair and Vega easily using Panel + VegaFusion.
  ☆17Updated 3 years ago
• microsoft / CBM
  Cyclic Boosting Machines - an explainable supervised machine learning algorithm
  ☆62Updated last year
• david26694 / sktools
  Helpers for scikit learn
  ☆16Updated 3 years ago
• oegedijk / rule_estimator
  A scikit-learn compatible estimator based on business-rules with interactive dashboard included
  ☆28Updated 4 years ago
• awesome-panel / panel-modal
  A Modal that works with Panel in both server and notebook environments.
  ☆21Updated 2 years ago
• hsbc / tslumen
  A library for Time Series EDA (exploratory data analysis)
  ☆72Updated last year
• sktime / sktime-tutorial-pydata-global-2022
  sktime - python toolbox for time series: pipelines and transformers
  ☆25Updated 3 years ago
• StatMixedML / Py-BoostLSS
  An extension of Py-Boost to probabilistic modelling
  ☆24Updated 2 years ago
• azukds / tubular
  Python package implementing ML feature engineering and pre-processing for polars or pandas dataframes.
  ☆83Updated last week
• sktime / skbase
  Base classes for creating scikit-learn-like parametric objects, and tools for working with them.
  ☆31Updated this week
• schemaitat / polars_sim
  Fast approximate joins on string columns for polars dataframes.
  ☆15Updated this week
• sktime / sktime-tutorial-pydata-berlin-2022
  ☆38Updated 3 years ago
• koaning / scikit-partial
  Pipeline components that support partial_fit.
  ☆46Updated last year
• tblume1992 / MFLES
  ☆115Updated last year
• lorentzenchr / model-diagnostics
  Tools for diagnostics and assessment of (machine learning) models
  ☆39Updated last month