MLBox is a powerful Automated Machine Learning python library.
- machine-learning
- auto-ml
- kaggle
- deep-learning
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MLBox is a powerful Automated Machine Learning python library.
Clean APIs for data cleaning. Python implementation of R package Janitor
asyncio client for kafka
Jupyter magics and kernels for working with remote Spark clusters
Real-time stream processing for python
Python3 client for NATS
PySpark + Scikit-learn = Sparkit-learn
Pythonic tool for orchestrating machine-learning/high performance/quantum-computing workflows in heterogeneous compute environments.
PySpark test helper methods with beautiful error messages
pyspark methods to enhance developer productivity 📣 👯 🎉
Pandas, Polars, Spark, and Snowpark DataFrame comparison for humans and more!
A command-line tool for launching Apache Spark clusters.
Karapace - Your Apache Kafka® essentials in one tool
The world's cleanest AutoML library ✨ - Do hyperparameter tuning with the right pipeline abstractions to write clean deep learning production pipelines. Let your pipeline steps have hyperparameter spaces. Design steps in your pipeline like components. Compatible with Scikit-Learn, TensorFlow, and most other libraries, frameworks and MLOps environments.
The idiomatic asyncio MQTT client
Engine for AI/ML/Data tracking, visualization, explainability, drift detection, and dashboards for Polyaxon.
Streaming reactive and dataflow graphs in Python
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amqplib fork
The data transformation tool the open-source community deserves.
Open Lakehouse Compute Fabric: an open-source lakehouse platform with Microsoft Fabric Compute Extension.
A pure Python implementation of Apache Spark's RDD and DStream interfaces.
Joblib Apache Spark Backend
AthenaCLI is a CLI tool for AWS Athena service that can do auto-completion and syntax highlighting.