Alternatives and similar repositories for SDV

Users that are interested in SDV are comparing it to the libraries listed below

• sdv-dev / CTGAN
  Conditional GAN for generating synthetic tabular data.
  ☆1,473Updated last week
• gretelai / gretel-synthetics
  Synthetic data generators for structured and unstructured text, featuring differentially private learning.
  ☆663Updated 4 months ago
• SeldonIO / alibi-detect
  Algorithms for outlier, adversarial and drift detection
  ☆2,441Updated last week
• SelfExplainML / PiML-Toolbox
  PiML (Python Interpretable Machine Learning) toolbox for model development & diagnostics
  ☆1,268Updated 6 months ago
• uber / orbit
  A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.
  ☆2,007Updated 4 months ago
• NannyML / nannyml
  nannyml: post-deployment data science in python
  ☆2,101Updated 3 months ago
• ydataai / ydata-synthetic
  Synthetic data generators for tabular and time-series data
  ☆1,592Updated 2 weeks ago
• MAIF / shapash
  🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models
  ☆2,965Updated 3 weeks ago
• salesforce / Merlion
  Merlion: A Machine Learning Framework for Time Series Intelligence
  ☆4,440Updated last year
• csinva / imodels
  Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).
  ☆1,505Updated 2 months ago
• mostly-ai / mostlyai
  Synthetic Data SDK ✨
  ☆677Updated this week
• scikit-learn-contrib / MAPIE
  A scikit-learn-compatible library for estimating prediction intervals and controlling risks, based on conformal predictions.
  ☆1,478Updated this week
• linkedin / greykite
  A flexible, intuitive and fast forecasting library
  ☆1,849Updated 8 months ago
• SeldonIO / alibi
  Algorithms for explaining machine learning models
  ☆2,571Updated last week
• fairlearn / fairlearn
  A Python package to assess and improve fairness of machine learning models.
  ☆2,141Updated this week
• sdv-dev / SDGym
  Benchmarking synthetic data generation methods.
  ☆281Updated this week
• deepchecks / deepchecks
  Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML va…
  ☆3,927Updated 2 months ago
• sdv-dev / SDMetrics
  Metrics to evaluate quality and efficacy of synthetic datasets.
  ☆251Updated this week
• oegedijk / explainerdashboard
  Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.
  ☆2,451Updated 2 months ago
• fugue-project / fugue
  A unified interface for distributed computing. Fugue executes SQL, Python, Pandas, and Polars code on Spark, Dask and Ray without any rew…
  ☆2,116Updated 6 months ago
• Diyago / Tabular-data-generation
  We well know GANs for success in the realistic image generation. However, they can be applied in tabular data generation. We will review …
  ☆557Updated 4 months ago
• capitalone / DataProfiler
  What's in your data? Extract schema, statistics and entities from datasets
  ☆1,524Updated last month
• skrub-data / skrub
  Machine learning with dataframes
  ☆1,483Updated last week
• feature-engine / feature_engine
  Feature engineering package with sklearn like functionality
  ☆2,147Updated last month
• 8080labs / ppscore
  Predictive Power Score (PPS) in Python
  ☆1,165Updated 3 weeks ago
• interpretml / DiCE
  Generate Diverse Counterfactual Explanations for any machine learning model.
  ☆1,457Updated 3 months ago
• vanderschaarlab / synthcity
  A library for generating and evaluating synthetic tabular data for privacy, fairness and data augmentation.
  ☆603Updated 4 months ago
• ydataai / ydata-quality
  Data Quality assessment with one line of code
  ☆451Updated 3 weeks ago
• Nixtla / mlforecast
  Scalable machine 🤖 learning for time series forecasting.
  ☆1,080Updated last week
• Nixtla / statsforecast
  Lightning ⚡️ fast forecasting with statistical and econometric models.
  ☆4,548Updated last week