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.
• bizon — Extract and load your data reliably from API Clients with native fault-tolerant and checkpointing mechanism.
• calista — Comprehensive Python package designed to simplify data quality checks across multiple platforms
• 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
• database-factory — Database Factory;
• 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
• dcs-core — Open Source Data Quality Monitoring
• 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.
• llmstudio-tracker — LLMstudio Tracker is the module of LLMstudio that allows monitoring and logging your LLM calls. By leveraging LLMstudio Tracker, users can gain insights on model performance and streamline development workflows with actionable analytics.
• mara-db — Configuration and monitoring of database connections
• meld-sandbox — M3LD data privacy as code.
• mesiqi — mesiqi helps you build data microservices
• metamart-ingestion — Ingestion Framework for MetaMart
• metricflow-lite — Lite version of MetricFlow. This version is missing dependencies for using connectors with data warehouses
• multi-db-query-builder — Simplify SQL queries across databases
• 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.
• pandasai-bigquery — Google BigQuery connector integration for PandasAI
• 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-mlcorelib — no summary
• profiles-rudderstack — no summary
• pypreql — Declarative, typed query language that compiles to SQL.
• pytrilogy — Declarative, typed query language that compiles to SQL.
• records-mover — Records mover is a command-line tool and Python library you can use to move relational data from one place to another.
• 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
• toolshop — A Tool Framework for AI Agents
• trilogy-public-models — Public Trilogy models.
• tulona — A tool to compare data from different sources.