A simple and efficient tool to parallelize Pandas operations on all available CPUs
☆3,810Jul 9, 2024Updated last year
Alternatives and similar repositories for pandarallel
Users that are interested in pandarallel are comparing it to the libraries listed below
Sorting:
- A package which efficiently applies any function to a pandas dataframe or series in the fastest available manner☆2,643Mar 20, 2024Updated 2 years ago
- Modin: Scale your Pandas workflows by changing a single line of code☆10,363Feb 10, 2026Updated last month
- Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per s…☆8,492Mar 1, 2026Updated 3 weeks ago
- 1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.☆13,438Mar 3, 2026Updated 2 weeks ago
- A game theoretic approach to explain the output of any machine learning model.☆25,131Mar 12, 2026Updated last week
- cuDF - GPU DataFrame Library☆9,558Updated this week
- An open source python library for automated feature engineering☆7,623Feb 3, 2026Updated last month
- Parallel computing with task scheduling☆13,765Mar 12, 2026Updated last week
- Automatic extraction of relevant features from time series:☆9,151Nov 15, 2025Updated 4 months ago
- A library of extension and helper modules for Python's data analysis and machine learning libraries.☆5,124Jan 24, 2026Updated last month
- Visual analysis and diagnostic tools to facilitate machine learning model selection.☆4,395Feb 19, 2025Updated last year
- Extremely fast Query Engine for DataFrames, written in Rust☆37,810Updated this week
- A scikit-learn compatible neural network library that wraps PyTorch☆6,149Feb 25, 2026Updated 3 weeks ago
- An open-source, low-code machine learning library in Python☆9,711Apr 21, 2025Updated 11 months ago
- A library of sklearn compatible categorical variable encoders☆2,486Mar 1, 2026Updated 2 weeks ago
- A light-weight, flexible, and expressive statistical data testing library☆4,259Updated this week
- A hyperparameter optimization framework☆13,721Updated this week
- A library for debugging/inspecting machine learning classifiers and explaining their predictions☆2,775Feb 10, 2026Updated last month
- A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning☆7,092Feb 2, 2026Updated last month
- Automatically visualize your pandas dataframe via a single print! 📊 💡☆5,370Mar 20, 2024Updated 2 years ago
- 🦉 Data Versioning and ML Experiments☆15,458Updated this week
- Extra blocks for scikit-learn pipelines.☆1,383Mar 12, 2026Updated last week
- Distributed Asynchronous Hyperparameter Optimization in Python☆7,613Updated this week
- A unified framework for machine learning with time series☆9,633Mar 14, 2026Updated last week
- Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.☆41,799Updated this week
- Fit interpretable models. Explain blackbox machine learning.☆6,816Updated this week
- A Python package for manipulating 2-dimensional tabular data structures☆1,882Mar 17, 2025Updated last year
- 📚 Parameterize, execute, and analyze notebooks☆6,400Mar 8, 2026Updated last week
- A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.☆10,047Sep 11, 2025Updated 6 months ago
- The open source AI engineering platform for agents, LLMs, and ML models. MLflow enables teams of all sizes to debug, evaluate, monitor, a…☆24,874Updated this week
- Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.☆30,926Mar 10, 2026Updated last week
- Feature engineering and selection open-source Python library compatible with sklearn.☆2,214Mar 9, 2026Updated last week
- Statistical package in Python based on Pandas☆1,884Mar 14, 2026Updated last week
- 🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models☆3,154Feb 6, 2026Updated last month
- A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques☆9,748Mar 1, 2026Updated 3 weeks ago
- Always know what to expect from your data.☆11,257Mar 14, 2026Updated last week
- Cleanlab's open-source library is the standard data-centric AI package for data quality and machine learning with messy, real-world data …☆11,376Jan 13, 2026Updated 2 months ago
- Missing data visualization module for Python.☆4,198May 14, 2024Updated last year
- A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other ma…☆8,848Updated this week