Reverse Dependencies of sqlalchemy_bigquery

The following projects have a declared dependency on sqlalchemy_bigquery:

• acryl-datahub — A CLI to work with DataHub metadata
• airbyte — PyAirbyte
• amora — Amora Data Build Tool
• apache-airflow — Programmatically author, schedule and monitor data pipelines
• apache-airflow-provider-transfers — This project contains the Universal Transfer Operator which can transfer all the data that could be read from the source Dataset into the destination Dataset. From a DAG author standpoint, all transfers would be performed through the invocation of only the Universal Transfer Operator.
• apache-airflow-providers-google — Provider package apache-airflow-providers-google for Apache Airflow
• astro-projects — A decorator that allows users to run SQL queries natively in Airflow.
• astro-sdk-python — Astro SDK allows rapid and clean development of {Extract, Load, Transform} workflows using Python and SQL, powered by Apache Airflow.
• calitp-data-analysis — Shared code for querying Cal-ITP data in notebooks, primarily.
• castor-extractor — Extract your metadata assets.
• cdpdev-datahub — A CLI to work with DataHub metadata
• chalkpy — Python SDK for Chalk
• continual — Operational AI for the Modern Data Stack
• custom-workflow-solutions — Programmatically author, schedule and monitor data pipelines
• datachecks — Open Source Data Quality Monitoring
• dbcooper — Short description of the package.
• DBD — dbd is a data loading and transformation tool that enables data analysts and engineers to load and transform data in SQL databases.
• dbpal — A utility package for pushing around data
• easy-expectations — A package that simplifies usage of Great Expectations tool for Data Validation.
• ethyca-fides — Open-source ecosystem for data privacy as code.
• exabel-data-sdk — Python SDK for the Exabel Data API
• fidesctl — CLI for Fides
• fivetran-autogen — no summary
• google-fhir-core — Core components for working with FHIR.
• google-fhir-views — Tools to create views of FHIR data for analysis.
• great-expectations — Always know what to expect from your data.
• great-expectations-cta — Always know what to expect from your data.
• gretel-trainer — Synthetic Data Generation with optional Differential Privacy
• idg-metadata-client — Ingestion Framework for OpenMetadata
• inbound — declarative data ingestion.
• ingestr — ingestr is a command-line application that ingests data from various sources and stores them in any database.
• jupancon — Jupancon, connector to several DBs that returns pandas. Magic included.
• mara-db — Configuration and monitoring of database connections
• meld-sandbox — M3LD data privacy as code.
• mesiqi — mesiqi helps you build data microservices
• metricflow-lite — Lite version of MetricFlow. This version is missing dependencies for using connectors with data warehouses
• nure — Data Science Utilities
• objectiv-bach — Objectiv Bach provides Pandas-like DataFrames backed by SQL
• openmetadata-ingestion — Ingestion Framework for OpenMetadata
• pandasai — Chat with your database (SQL, CSV, pandas, polars, mongodb, noSQL, etc). PandasAI makes data analysis conversational using LLMs (GPT 3.5 / 4, Anthropic, VertexAI) and RAG.
• pano-airflow — Programmatically author, schedule and monitor data pipelines
• piicatcher — Find PII data in databases
• piperider — PiperRider CLI
• piperider-nightly — PiperRider CLI
• ploosh — A framework to automatize your tests for data projects
• profiles-rudderstack — no summary
• pypreql — Declarative, typed query language that compiles to SQL.
• records-mover — Library and CLI to move relational data from one place to another - DBs/CSV/gsheets/dataframes/...
• reflekt — A CLI tool to define event schemas, lint them to enforce conventions, publish to a schema registry, and build corresponding data artifacts (e.g., dbt sources/models/docs).
• sayn — Data-modelling and processing framework for automating Python and SQL tasks
• scandal — no summary
• stakenix — Package for work with different DB's by a simple interface
• trilogy-public-models — Public trilogy/preql models.