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
Evidently is an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.
Real-time monitor and web admin for Celery distributed task queue
A network event stream processing system, in Clojure.
Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and models from research to production.
Ruby and Rails efficient Kafka processing framework
Data validation toolkit for assessing and monitoring data quality.
StreamFlow™ is a stream processing tool designed to help build and monitor processing workflows.
Daggy - Data Aggregation Utility and C/C++ developer library for data streams catching
Type-safe, persistent, embedded task queues and background job runner w/ SQLite. Web monitoring UI included.
Scalable Full History API Solution for Antelope (former EOSIO) based blockchains
A detective for your data. Zero-config data quality monitoring — works with dbt, Postgres, BigQuery, Snowflake. No YAML.