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Quality Data
Resilient Models

Anovos is an open source, feature engineering library that helps you quickly understand and resolve data quality issues and iterate through the feature creation process to improve model performance.

Get Started

Anovos home page image

Anovos is an open source, feature engineering library that helps you quickly understand and resolve data quality issues and iterate through the feature creation process to improve model performance.

Get Started

Build better models with

Predictive models are only as good as the data that powers them. Anovos is an open-source project designed for data scientists who want to better understand their data and create features that result in high performing machine learning models.

Data Explorer

  • Analyze and profile your data and features
  • Low code detection and correction of quality issues and anomalies

Feature Builder

  • Identifying optimum features
  • Mapping data to features
  • Custom feature creation
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Bringing it All Together with Anovos

You want to create an ML pipeline that leads to building high performing models. Anovos unifies the key methods necessary to more easily understand your data and create the most predictive, stable features.

With robust analytics, in-depth analysis and comprehensive metrics, Anovos helps you better understand your data, and through feature recommendation and transformation  build more resilient models.

Anovos also has unique features such as a scalable data stability calculation, giving your entire team insight into which data may shift over time and impact model accuracy and performance. And a feature recommender to address the cold start problem getting you off to the right start in choosing the most stable features.

Multiple Editions

Anovos has multiple editions designed to meet the needs of the individual data scientist as well as data science teams working with enterprise scale data sets.

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Community Edition

  • Designed for an individual data scientist or analyst
  • Supports data sets up to 5GB
scale

Enterprise Edition

  • Distributed processing to support enterprise scale data sets

Frequently Asked Questions

Anovos is built with the most popular machine learning  libraries including Pandas, Scikit-learn and Apache Spark.

Anovos was built by the data science team at Mobilewalla because they handle large data sets. Anovos is built to scale and easily handles 100GB of data.

Yes, you can find a current roadmap in our Docs in the Roadmap section. If you have suggestions for what you'd like to see added or would like to help contribute to the project, visit our GitHub.

While we are continuing to build on Anovos and expand its capabilities, today, Anovos can help you better understand your data by providing you with out of the box, comprehensive analytics and metrics and can help you transform your data into features that will power resilient models. Go ahead, give it a try.