Perpetual is a high-performance gradient boosting machine. It delivers optimal accuracy in a single run without complex tuning through a simple budget parameter. It features out-of-the-box support for causal ML, continual learning, native calibration, and robust drift monitoring, along with Rust core and zero-copy bindings for Python and R
☆709Oct 4, 2026Updated 2 weeks ago
Alternatives and similar repositories for perpetual
Users that are interested in perpetual are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Time-series machine learning at scale. Built with Polars for embarrassingly parallel feature extraction and forecasts on panel data.☆1,188May 3, 2026Updated 5 months ago
- PKBoost: Adaptive GBDT for Concept Drift, Built from scratch in Rust, PKBoost manages changing data distributions in fraud detection with…☆73Oct 8, 2026Updated last week
- Python implementation of binary and multi-class Venn-ABERS calibration☆208Sep 2, 2026Updated last month
- treemind interprets tree models☆40Apr 9, 2026Updated 6 months ago
- Wrapper around MLForecast for more plug and play forecasting☆10Oct 23, 2023Updated 2 years ago
- Open source password manager - Proton Pass • AdSecurely store, share, and autofill your credentials with Proton Pass, the end-to-end encrypted password manager trusted by millions.
- JAX-accelerated time-series forecasting library. Fast, scalable, and NumPy-compatible.☆59Oct 6, 2026Updated last week
- Rust bindings for LightGBM☆62Sep 8, 2026Updated last month
- Scalable machine 🤖 learning for time series forecasting.☆1,288Updated this week
- Time series analysis for Rust, with bindings to Python and Javascript☆579Updated this week
- Linear algebra foundation for the Rust programming language☆2,574Sep 6, 2026Updated last month
- A python package for time series forecasting with scikit-learn estimators.☆163Apr 4, 2024Updated 2 years ago
- Feature engineering and selection open-source Python library compatible with sklearn.☆2,290Sep 19, 2026Updated 3 weeks ago
- High performance Python GLMs with all the features!☆387Oct 7, 2026Updated last week
- Lightweight and extensible compatibility layer between dataframe libraries!☆1,735Updated this week
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Probabilistic Hierarchical forecasting 👑 with statistical and econometric methods.☆760Updated this week
- WarpGBM: High-Speed Gradient Boosting☆101Apr 14, 2026Updated 6 months ago
- Python package for conformal prediction☆584Jul 8, 2026Updated 3 months ago
- Plotlars is a Rust library designed to facilitate the integration between the Polars data analysis library and Plotly library.☆671Oct 8, 2026Updated last week
- An extension of LightGBM to probabilistic modelling☆397Oct 2, 2026Updated 2 weeks ago
- Lightning ⚡️ fast forecasting with statistical and econometric models.☆4,933Updated this week
- A scikit-learn-compatible library for estimating prediction intervals and controlling risks, based on conformal predictions.☆1,603Updated this week
- Polars extension for general data science use cases☆655Oct 9, 2026Updated last week
- Temporian is an open-source Python library for preprocessing ⚡ and feature engineering 🛠 temporal data 📈 for machine learning applicati…☆711Oct 29, 2025Updated 11 months ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- Quantile Regression Forests compatible with scikit-learn.☆255Updated this week
- A metaheuristic framework for solving combinatorial optimization problems☆38May 6, 2026Updated 5 months ago
- Turn SciKitLearn & PyTorch pipelines into SQL☆120Updated this week
- ML models + benchmark for tabular data classification and regression☆398Jan 6, 2026Updated 9 months ago
- Scalable and user friendly neural forecasting algorithms.☆4,287Updated this week
- The Orange Book of Machine Learning☆61Aug 18, 2026Updated 2 months ago
- Fast, dependence-aware resampling and uncertainty for time series and ragged panels.☆95Updated this week
- Natural Gradient Boosting for Probabilistic Prediction☆1,893Oct 8, 2026Updated last week
- A curated list of Polars talks, tools, examples & articles. Contributions welcome !☆1,127Updated this week
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- [Mach. Learn. 2026] Official implementation of "Monotone Composite Quantile Regression via Second-Order Gradient Boosting Framework"☆48Sep 20, 2026Updated 3 weeks ago
- ⚡ TabPFN: Foundation Model for Tabular Data ⚡☆8,212Updated this week
- A simple implementation of anti-spam bot for itmo opensource chat☆11Sep 29, 2025Updated last year
- An extension of XGBoost to probabilistic modelling☆730Oct 2, 2026Updated 2 weeks ago
- Identifiers and Standard Format Parsing for Polars Dataframe☆17Sep 3, 2025Updated last year
- LinearBoost Classifier is a rapid and accurate classification algorithm that builds upon a very fast, linear classifier.☆230Oct 7, 2026Updated last week
- A Rust machine learning framework.☆4,761Aug 22, 2026Updated last month