Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
- airflow
- apache
- apache-airflow
- python
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Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
An orchestration platform for the development, production, and observation of data assets.
1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
Always know what to expect from your data.
Cleanlab's open-source library is the standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
🌸 Run LLMs at home, BitTorrent-style. Fine-tuning and inference up to 10x faster than offloading
[SIGMOD'27] Easy Data Preparation with latest LLMs-based Operators and Pipelines.
The Open Source Feature Store for AI/ML
Real-time monitor and web admin for Celery distributed task queue
ZenML 🙏: One AI Platform from Pipelines to Agents. https://zenml.io.
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.
Clean APIs for data cleaning. Python implementation of R package Janitor
Jupyter magics and kernels for working with remote Spark clusters
Engine for AI/ML/Data tracking, visualization, explainability, drift detection, and dashboards for Polyaxon.
Realistic synthetic events for testing, demos, and pipelines — streamed live or generated in bulk
A detective for your data. Zero-config data quality monitoring — works with dbt, Postgres, BigQuery, Snowflake. No YAML.