The Open Context Layer for Data and AI , OpenMetadata is the open platform for building trusted data context and business semantics for humans, AI assistants, and agents.
- metadata
- datadiscovery
- dataquality
- data-profiling
47,133 repositories indexed
1–18 of 18 · Most stars
The Open Context Layer for Data and AI , OpenMetadata is the open platform for building trusted data context and business semantics for humans, AI assistants, and agents.
Incremental engine for long horizon agents 🌟 Star if you like it!
A light-weight, flexible, and expressive statistical data testing library
A network event stream processing system, in Clojure.
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).
Keep passwords and other sensitive information out of your chat logs and inboxes.
Confluent Schema Registry for Kafka
Nessie: Transactional Catalog for Data Lakes with Git-like semantics
omniparser: a native Golang ETL streaming parser and transform library for CSV, JSON, XML, EDI, text, etc.
Karapace - Your Apache Kafka® essentials in one tool
Web tool for Avro Schema Registry |
This is a library that provides generic functionalities for the implementation of imports. In addition to maximum performance and optimized memory consumption, Pacemaker can also be used to implement imports in distributed scenarios that place the highest demands on speed and stability.
Build and deploy a serverless data pipeline on AWS with no effort.
Haskell distributed stream processing with exactly-once semantics
Lightweight DataFrame validation decorators for Pandas, Polars, Modin, and PyArrow. No custom types required.
Queue data structure for Elixir-lang
Conflict-free merge for DataFrames, JSON, ML models & distributed agents — powered by CRDTs. The first merge library where every operation is mathematically guaranteed to converge.
Json-values allows Java developers to harness the power of persistent data structures when working with JSON data, simplifying complex data manipulation. It provides a purely functional approach to JSON