Predictive Power Score (PPS) in Python
β1,168Mar 11, 2026Updated last month
Alternatives and similar repositories for ppscore
Users that are interested in ppscore are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- π Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Modelsβ3,208Updated this week
- A scikit-learn-compatible library for estimating prediction intervals and controlling risks, based on conformal predictions.β1,541Updated this week
- Feature engineering and selection open-source Python library compatible with sklearn.β2,233Mar 28, 2026Updated last month
- A Tree based feature selection tool which combines both the Boruta feature selection algorithm with shapley values.β652Feb 19, 2024Updated 2 years ago
- Extra blocks for scikit-learn pipelines.β1,392Apr 21, 2026Updated last week
- Managed Kubernetes at scale on DigitalOcean β’ AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- A library of sklearn compatible categorical variable encodersβ2,489Mar 1, 2026Updated 2 months ago
- 1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.β13,527Apr 22, 2026Updated last week
- Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.β2,483Feb 11, 2026Updated 2 months ago
- pyforest - feel the bliss of automated importsβ1,120Jul 16, 2024Updated last year
- A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.β584Jun 8, 2024Updated last year
- Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuniβ¦β3,316Updated this week
- Fit interpretable models. Explain blackbox machine learning.β6,840Updated this week
- Python implementations of the Boruta all-relevant feature selection method.β1,624Nov 13, 2025Updated 5 months ago
- An open-source, low-code machine learning library in Pythonβ9,748Apr 25, 2026Updated last week
- GPU virtual machines on DigitalOcean Gradient AI β’ AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- A unified framework for machine learning with time seriesβ9,745Apr 26, 2026Updated last week
- Interpretable ML package π for concise, transparent, and accurate predictive modeling (sklearn-compatible).β1,585Apr 13, 2026Updated 2 weeks ago
- Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per sβ¦β8,501Apr 1, 2026Updated last month
- nannyml: post-deployment data science in pythonβ2,135Jul 12, 2025Updated 9 months ago
- Modin: Scale your Pandas workflows by changing a single line of codeβ10,382Feb 10, 2026Updated 2 months ago
- Open-source low code data preparation library in python. Collect, clean and visualization your data in python with a few lines of code.β2,240Jun 27, 2024Updated last year
- Statistical package in Python based on Pandasβ1,908Apr 5, 2026Updated 3 weeks ago
- Scalable machine π€ learning for time series forecasting.β1,216Apr 24, 2026Updated last week
- Visualize and compare datasets, target values and associations, with one line of code.β3,094Apr 11, 2026Updated 3 weeks ago
- Deploy to Railway using AI coding agents - Free Credits Offer β’ AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- STUMPY is a powerful and scalable Python library for modern time series analysisβ4,083Apr 4, 2026Updated 3 weeks ago
- Machine learning with dataframesβ1,597Apr 23, 2026Updated last week
- Linear Prediction Model with Automated Feature Engineering and Selection Capabilitiesβ536Jan 6, 2026Updated 3 months ago
- Visual analysis and diagnostic tools to facilitate machine learning model selection.β4,398Feb 19, 2025Updated last year
- Automatic extraction of relevant features from time series:β9,183Nov 15, 2025Updated 5 months ago
- Use advanced feature engineering strategies and select best features from your data set with a single line of code. Created by Ram Seshadβ¦β677Feb 19, 2025Updated last year
- Algorithms for explaining machine learning modelsβ2,630Oct 17, 2025Updated 6 months ago
- A python library for user-friendly forecasting and anomaly detection on time series.β9,349Updated this week
- An open source python library for automated feature engineeringβ7,630Feb 3, 2026Updated 2 months ago
- Deploy on Railway without the complexity - Free Credits Offer β’ AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- A game theoretic approach to explain the output of any machine learning model.β25,355Updated this week
- A Python library that helps data scientists to infer causation rather than observing correlation.β2,462Jun 26, 2024Updated last year
- A library of extension and helper modules for Python's data analysis and machine learning libraries.β5,138Jan 24, 2026Updated 3 months ago
- Leave One Feature Out Importanceβ866Feb 14, 2025Updated last year
- π Online machine learning in Pythonβ5,799Updated this week
- Visualizer for pandas data structuresβ5,106Apr 23, 2026Updated last week
- machine learning with logical rules in Pythonβ659Jan 31, 2024Updated 2 years ago