Apache Superset is a Data Visualization and Data Exploration Platform
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Apache Superset is a Data Visualization and Data Exploration Platform
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
The open source AI engineering platform for agents, LLMs, and ML models. MLflow enables teams of all sizes to debug, evaluate, monitor, and optimize production-quality AI applications while controlling costs and managing access to models and data.
Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per second 🚀
pandas on AWS - Easy integration with Athena, Glue, Redshift, Timestream, Neptune, OpenSearch, QuickSight, Chime, CloudWatchLogs, DynamoDB, EMR, SecretManager, PostgreSQL, MySQL, SQLServer and S3 (Parquet, CSV, JSON and EXCEL).
TensorFlowOnSpark brings TensorFlow programs to Apache Spark clusters.
Koalas: pandas API on Apache Spark
A lightweight opinionated ETL framework, halfway between plain scripts and Apache Airflow
Elyra extends JupyterLab with an AI centric approach.
PySpark + Scikit-learn = Sparkit-learn
pyspark methods to enhance developer productivity 📣 👯 🎉
A command-line tool for launching Apache Spark clusters.
Karapace - Your Apache Kafka® essentials in one tool
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
ETL scripts for EOS.