distfit is a python library for probability density fitting.
☆415Jan 22, 2026Updated 3 months ago
Alternatives and similar repositories for distfit
Users that are interested in distfit are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Fit data to many distributions☆408Mar 7, 2026Updated 2 months ago
- hgboost is a python package for hyper-parameter optimization for xgboost, catboost or lightboost using cross-validation, and evaluating t…☆67Apr 6, 2026Updated last month
- Clusteval provides methods for unsupervised cluster validation☆70Feb 21, 2026Updated 2 months ago
- Hedge long only portfolio using structural entropy☆16Jul 27, 2022Updated 3 years ago
- Detection of favorable moments in time series data☆35Aug 30, 2025Updated 8 months ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- zoofs is a python library for performing feature selection using a variety of nature-inspired wrapper algorithms. The algorithms range fr…☆254Jan 9, 2026Updated 4 months ago
- The machine learning toolkit for time series analysis in Python☆3,146Updated this week
- A python package for time series forecasting with scikit-learn estimators.☆162Apr 4, 2024Updated 2 years ago
- sharpe is a unified, interactive, general-purpose environment for backtesting or applying machine learning(supervised learning and reinfo…☆51Oct 29, 2021Updated 4 years ago
- tsbootstrap: generate bootstrapped time series samples in Python☆87Jul 7, 2025Updated 10 months ago
- An intuitive library to extract features from time series.☆1,089Jan 30, 2026Updated 3 months ago
- Calibrates microprice model to BitMEX quote data☆65Jul 1, 2021Updated 4 years ago
- Mid price estimation in LOB using Markov model☆13May 11, 2022Updated 3 years ago
- Evaluation of Hybrid MODWT-MARS framework for financial time series forecasting☆18Sep 23, 2024Updated last year
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Flexible time series feature extraction & processing☆438Sep 6, 2024Updated last year
- A small wrapper to do Beta Boosting with XgBoost☆15Oct 26, 2021Updated 4 years ago
- A python library for user-friendly forecasting and anomaly detection on time series.☆9,356Updated this week
- Feature engineering and selection open-source Python library compatible with sklearn.☆2,234Mar 28, 2026Updated last month
- Random Forest-based "Correlation" measures☆15May 3, 2022Updated 4 years ago
- A statistical library designed to fill the void in Python's time series analysis capabilities, including the equivalent of R's auto.arima…☆1,721Nov 17, 2025Updated 5 months ago
- Forecasting with Gradient Boosted Time Series Decomposition☆199Jan 11, 2026Updated 3 months ago
- Python package for Causal Discovery by learning the graphical structure of Bayesian networks. Structure Learning, Parameter Learning, Inf…☆625Mar 7, 2026Updated 2 months ago
- Recombinator is a Python package for statistical resampling in Python. It provides various algorithms for the iid bootstrap, the block bo…☆50Feb 9, 2024Updated 2 years ago
- 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.
- Lightning ⚡️ fast forecasting with statistical and econometric models.☆4,769Apr 28, 2026Updated last week
- A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.☆2,049Mar 3, 2026Updated 2 months ago
- Statistical/Machine Learning using Randomized and Quasi-Randomized (neural) networks (currently Python & R)☆20Mar 17, 2026Updated last month
- Bayer, Friz, Gulisashvili, Horvath, Stemper (2017). Short-time near-the-money skew in rough fractional volatility models.☆13Mar 23, 2017Updated 9 years ago
- A unified framework for machine learning with time series☆9,757Updated this week
- A python library for time-series smoothing and outlier detection in a vectorized way.☆772Nov 23, 2023Updated 2 years ago
- Automated Time Series Forecasting☆1,397Apr 24, 2026Updated 2 weeks ago
- Predictive Power Score (PPS) in Python☆1,168Mar 11, 2026Updated last month
- Vectorized quantile backtesting library☆15May 25, 2023Updated 2 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Time-series machine learning at scale. Built with Polars for embarrassingly parallel feature extraction and forecasts on panel data.☆1,171Updated this week
- Time series easier, faster, more fun. Pytimetk.☆959Mar 30, 2026Updated last month
- Time Series Prediction of Volume in LOB☆60Apr 17, 2024Updated 2 years ago
- Repo for HFT project in CMF☆29Jan 4, 2023Updated 3 years ago
- Statistical package in Python based on Pandas☆1,909Apr 5, 2026Updated last month
- A Tree based feature selection tool which combines both the Boruta feature selection algorithm with shapley values.☆652Feb 19, 2024Updated 2 years ago
- Time series forecasting with tree ensembles☆13Sep 5, 2021Updated 4 years ago