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Automated Data Science and Machine Learning




  • ABM: Automatic Business Modeler, automatically builds accurate and interpretable predictive models. Commercial.
  • AutoDiscovery from ButlerScientifics, intelligent exploratory data analysis software that unveils complex relationships in scientific experiments or clinical studies data.
  • Automatic Statistician project, a system which explores an open-ended space of possible statistical models to discover a good explanation of the data, and then produces a detailed report with figures and natural-language text. Research project.
  • auto-sklearn, an automated machine learning toolkit and a drop-in replacement for a scikit-learn estimator. Open Source.
  • Auto-WEKA, automates selection of a learning algorithm and setting its hyperparameters, using Bayesian optimization. Research project.
  • Bicedeep AI, Data Science AI As A Service, suggests deep learning models that work on your data and can automatically create and apply them.
  • Darwin combines deep learning with genetic algorithms, designed to help data scientists and engineers save time in choosing optimal models.
  • DataRobot, automated Machine Learning platform built by top data scientists on Kaggle. Commercial.
  • DataRPM Cognitive Data Science platform automates and operationalizes Machine Learning to rapidly solve Critical Business Problems for industrial internet. Commercial.
  • DMWay offers an automated end-to-end solution, powered by a sophisticated analytic engine that models all the steps taken by experienced data scientists during the analytic process. Commercial.
  • dotData platform democratizes, operationalizes and accelerates the entire data science process, from raw data ingestion through AI-powered feature engineering to ML models in production, helping enterprises achieve new levels of transparency, agility and insight.
  • Emcien, makes automated discovery and predictive analytics software, white labeled by Cisco Data Analytics Group.
  • ForecastThis DSX, uses cross-validation to test every algorithm in its extensive library, automates the discovery of the best model, and make that model available for use.
  • FeatureLab, built upon MIT Data Science Machine research project, automatically chooses optimal variables, builds appropriate models, and recommends the refinements best suited for your data.
  • Kogentix Automated Machine Learning Platform runs natively on Spark and includes all elements required to build and run a machine learning application.
  • Loom Systems, develops the first Artificially Intelligent Data Scientist. Built for low-touch operational simplicity, it automatically extracts value from big data and presents it along with recommended actions.
  • machineJS: Automated machine learning - just give it a data file. Open-source.
  • MLJAR, a platform for rapid prototyping, development and deploying pattern recognition algorithms.
  • Quill from Narrative Science, transforms data into meaningful and insightful narratives people can simply read. Commercial.
  • SAP Predictive Analytics, combines SAP InfiniteInsight (as Automated Analytics) and SAP Predictive Analysis (as Expert Analytics) in a single desktop installation.
  • Savvy from Yseop, automatically turn spreadsheets and dashboards into written insight.
  • Skytree Machine Learning Software, enterprise-grade machine learning, uses all data and high performance algorithms automated model building to deliver more accurate predictive models. Commercial.
  • Tree-based Pipeline Optimization Tool (TPOT), a Python tool that automatically creates and optimizes machine learning pipelines using genetic programming. Research prototype.
  • Wordsmith from Automated Insights, AI platform that generates human-sounding narratives from data.
  • Xpanse Analytics, a platform building predictive models on raw transactional data stored in many tables, able to generate thousands of features automatically without manual coding. Commercial.

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