Reverse Dependencies of avro

The following projects have a declared dependency on avro:

• acryl-datahub — A CLI to work with DataHub metadata
• airbyte-cdk — A framework for writing Airbyte Connectors.
• airbyte-cdk-PHLAIR — A framework for writing Airbyte Connectors.
• arcane-pubsub — Override pubsub client
• avdoc — CLI tool to generate HTML documentation for an Apache Avro schema
• avro-byte-counter — Count number of bytes per field
• avro_codec — An avro codec which exposes an API similar to the standard library's marshal, pickle and json modules
• avro-compat — A library-compatibility layer for avro parsers
• avro-gen-topkrabbensteam — Avro record class and specific record reader generator
• avro-gen3 — Avro record class and specific record reader generator
• avro-helper-devlibx — Python DSL for setting up Flask app CDC
• avro-helper-devlibx-v1 — Python DSL for setting up Flask app CDC
• avro-to-python-etp — Light tool for compiling avro schema files (.avsc) to python classes making using avro schemata easy.
• avrofastapi — Automatic avro wire protocol support for FastAPI
• avroknife — Utility for browsing and simple manipulation of Avro-based files
• azure-schemaregistry-avroencoder — Microsoft Azure Schema Registry Avro Encoder Client Library for Python
• azure-schemaregistry-avroserializer — Microsoft Azure Schema Registry Avro Serializer Client Library for Python
• cavro — avro codec implemented with Cython
• cbpcommon — Common library for Crypto Bot Platform
• cdpdev-datahub — A CLI to work with DataHub metadata
• confluent-kafka — Confluent's Python client for Apache Kafka
• datacontract-cli — Test data contracts
• datasurface — Automate the governance, management and movement of data within your enterprise
• eventyst — no summary
• ewah — An ELT with airflow helper module: Ewah
• fastscore-cli — FastScore CLI
• Feast — Python SDK for Feast
• feastmo — Python SDK for Feast
• feathr — An Enterprise-Grade, High Performance Feature Store
• gdp-time-series — no summary
• idg-metadata-client — Ingestion Framework for OpenMetadata
• ingestor — Apache Beam pipeline that ingests data from a PostgreSQL and writes it to GCS.
• kafka-avro-producer-topkrabbensteam — Kafka (produce messages) using Apache Avro schemas
• kfserving — KFServing Python SDK
• kserve-mathking — KServe Python SDK
• lamatic-airbyte-cdk — A framework for writing Airbyte Connectors.
• lintML — A security-first linter for machine learning training code.
• m4-utils — Biblioteca com funções de uso comum em projetos de aprendizado de máquina e ciencia de dados.
• market-data-transcoder — Market Data Transcoder
• metadata-guardian — MetadataGuardian is used to protect data by searching the source metadata.
• metaphor-connectors — A collection of Python-based 'connectors' that extract metadata from various sources to ingest into the Metaphor app.
• mk-feature-store — Python SDK for Feast
• ml-core — Core Package for MissingLink.ai
• mlrun — Tracking and config of machine learning runs
• mockingbird — Generate mock documents in various formats (CSV, DOCX, PDF, TXT, and more) that embed seed data and can be used to test data classification software.
• moonlogger — moon-logger, a Python logging library
• neon-schemas — Schemas for Neon Law
• nypl-py-utils — A package containing Python utilities for use across NYPL
• openmetadata-ingestion — Ingestion Framework for OpenMetadata
• pingpong-datahub — A CLI to work with DataHub metadata
• pup-confluent-kafka — Patched version of Confluent's Python client for Apache Kafka
• py-adapter — Round-trip serialization/deserialization of any Python object to/from any serialization format including Avro and JSON.
• py-avro-schema — Generate Apache Avro schemas for Python types including standard library data-classes and Pydantic data models.
• pyCGA — A REST client for OpenCGA web services
• pyhwschema — Python API for Hortonworks Schema Registry
• pypz-kafka-io — Provides a Kafka implementation of the ChannelInput/OutputPort in pypz.
• qgate-sln-mlrun — The quality gate for testing MLRun/Iguazio solution.
• ripflow — Python package to insert analysis pipelines into data streams
• robotframework-avrolibrary — Avro library for Robot Framework
• robotframework-confluentkafkalibrary — Confluent Kafka library for Robot Framework
• rpm-confluent-schemaregistry — Confluent Schema Registry lib
• scikit-digital-health — Python general purpose human motion inertial data processing package.
• snapstream — Streamline your Kafka data processing, this tool aims to standardize streaming data from multiple Kafka clusters. With a pub-sub approach, multiple functions can easily subscribe to incoming messages, serialization can be specified per topic, and data is automatically processed by data sink functions.
• spce — ScalePlan's CloudEvents implementation
• streaminghub-datamux — A library to stream data into real-time analytics pipelines
• super-cereal — Serialize Python objects
• syngen — The tool uncovers patterns, trends, and correlations hidden within your production datasets.
• tfrecorder — TFRecorder creates TensorFlow Records easily.
• tokyo-lineage — Tokyo Lineage