Top 3 Python Statsmodel Projects
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mars
Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.
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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 | 2023-01-22Notice 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.
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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.
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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 |