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.
An orchestration platform for the development, production, and observation of data assets.
🐚 Python-powered shell. Full-featured, cross-platform and AI-friendly.
data load tool (dlt) is an open source Python library that makes data loading easy 🛠️
Meltano: the declarative code-first data integration engine that powers your wildest data and ML-powered product ideas. Say goodbye to writing, maintaining, and scaling your own API integrations.
:truck: Agile Data Preparation Workflows made easy with Pandas, Dask, cuDF, Dask-cuDF, Vaex and PySpark
Pythonic tool for orchestrating machine-learning/high performance/quantum-computing workflows in heterogeneous compute environments.
The data transformation tool the open-source community deserves.
Open Lakehouse Compute Fabric: an open-source lakehouse platform with Microsoft Fabric Compute Extension.
High performance Kafka consumer for InfluxDB. Supports collectd message formats.
BeanQueue, a lightweight Python task queue framework based on SQLAlchemy, PostgreSQL SKIP LOCKED queries and NOTIFY / LISTEN statements.
Blazingly fast data comparison tool for Python, powered by Rust. Compare massive CSV/Parquet datasets instantly.
ETL scripts for EOS.