Python Statsmodels

Open-source Python projects categorized as Statsmodels

Top 3 Python Statsmodel Projects

  • mars

    Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.

  • m2cgen

    Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies

    Project mention: Redis as a Database — Data Migration With RedisOM, RedisGears and Redlock | dev.to | 2023-01-22

    Notice that I’m using random values to populate the Sentiment field. You might compute the values for your fields based on other fields or actually use an ML model to perform the transformation. E.g. you could make use of m2cgen to transform trained models to pure python code and load them in **RedisGears **to be executed in a *GearsBuilder *instance. Another option is to pull out the big guns and go straight to RedisAI.

  • Sonar

    Write Clean Python Code. Always.. Sonar helps you commit clean code every time. With over 225 unique rules to find Python bugs, code smells & vulnerabilities, Sonar finds the issues while you focus on the work.

  • scikit-hts

    Hierarchical Time Series Forecasting with a familiar API

NOTE: The open source projects on this list are ordered by number of github stars. The number of mentions indicates repo mentiontions in the last 12 Months or since we started tracking (Dec 2020). The latest post mention was on 2023-01-22.

Index

What are some of the best open-source Statsmodel projects in Python? This list will help you:

Project Stars
1 mars 2,540
2 m2cgen 2,347
3 scikit-hts 199
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