Reverse Dependencies of pandas-gbq

The following projects have a declared dependency on pandas-gbq:

• acmetric — acmetric package and sample project.
• alo7-airflow — Programmatically author, schedule and monitor data pipelines
• am4894bq — Helper library for BigQuery
• apache-airflow — Programmatically author, schedule and monitor data pipelines
• apache-airflow-backport-providers-google — Backport provider package apache-airflow-backport-providers-google for Apache Airflow
• apache-airflow-providers-google — Provider package apache-airflow-providers-google for Apache Airflow
• apache-airflow-zack — Programmatically author, schedule and monitor data pipelines
• api2db — Python Api data collection tool
• asyncdb — Library for Asynchronous data source connections Collection of asyncio drivers.
• atscale — The AI-Link package created by AtScale
• basedosdados — Organizar e facilitar o acesso a dados brasileiros através de tabelas públicas no BigQuery.
• bigframes — BigQuery DataFrames -- scalable analytics and machine learning with BigQuery
• bigquery-helper — A helper package for Google BigQuery operations
• bindle — My blanket stick.
• bqcon — Python Package for doing basic operations over google big query
• bqsc — Define schema object from bigquery schema definition json file
• bquest — Effortlessly validate and test your Google BigQuery queries with the power of pandas DataFrames in Python.
• brighter — A simple library for data-wrangling with GCP support
• cacheless-airflow — Programmatically author, schedule and monitor data pipelines
• calitp-data-analysis — Shared code for querying Cal-ITP data in notebooks, primarily.
• change_detection — package for detecting change in time-series data
• cloudops-google-bigquery — The cloudops-google-bigquery package
• cloudservice — Auto machine learning, deep learning library in Python.
• cmapBQ — Toolkit for interacting with Google BigQuery and CMAP datasets
• continual — Operational AI for the Modern Data Stack
• custom-utils — Utilities for database connectors, slack alerter, loggers etc
• custom-workflow-solutions — Programmatically author, schedule and monitor data pipelines
• dagster-gcp-pandas — Package for storing Pandas DataFrames in GCP.
• dagster-gcp-pyspark — Package for storing PySpark DataFrames in GCP
• data-science-common — UNDER CONSTRUCTION: A simple python library to facilitate analysis
• dataflowutil — no summary
• DBD — dbd is a data loading and transformation tool that enables data analysts and engineers to load and transform data in SQL databases.
• dbnd-gcp — Machine Learning Orchestration
• dbpal — A utility package for pushing around data
• dbt-table-diff — Compares models in dbt during an open PR
• deephub — no summary
• dimschema — dimschema
• dreams-core — brought to you by the dreamslabs discord community
• droughty — droughty is an analytics engineering toolkit, helping keep your workflow dry.
• droughty-dev — no summary
• ebmdatalab — Package for ebmdatalab jupyter notebook stuff
• edu-airflow — Programmatically author, schedule and monitor data pipelines
• friktionless — Friktionless is a Python package providing simplified interfaces to Friktion data. It aims to be the fundamental building block for doing data engineering and data analysis in Python for Friktion.
• fugue-warehouses — Fugue data warehouses integration
• ga-attribution-scrape — Scrapes attribution data from GAs Model Comparison Tool through JS Network and sends to Bigquery.
• ganymede-py — Ganymede Python libraries
• gcp-data-ingestion — Utility Functions for Data Ingestion in GCP
• gcp-pal — Set of utilities for interacting with Google Cloud Platform
• gcp-scraper — Scraping utils with GCP functions
• gcpts — no summary
• gdp-time-series — no summary
• geniepy — Gene-Disease relationship trend detection
• GeoFuns — A package for geo tools used to map card score
• gluepy — A framework for data scientists
• googlewrapper — Simple API wrapper for Google Products
• gps-building-blocks — Modules and tools useful for use with advanced data solutions on Google Ads, Google Marketing Platform and Google Cloud.
• grounder — Estimate the quality and factual correctness of natural language text to help ground language models such as BERT, GPT-J, GPT-Neo, ChatGPT, and Bard.
• honeycomb — Multi-source/engine querying tool
• honeydew — Collection of connectors for ETL
• hoops-dynasty-api — connects to hoops dynasty in whatifsports and pulls data
• humailib — HUMAI data science framework
• instackup — A package to ease interaction with cloud services, DB connections and commonly used functionalities in data analytics.
• kedro-datasets — Kedro-Datasets is where you can find all of Kedro's data connectors.
• mcl_google_cloud_bigquery — The mcl_google_cloud_bigquery package.
• mercury-fil — Python client for accessing Filecoin chain data.
• ml4h — Machine Learning for Health python package
• omop2survey — The 'omop2survey' Python package transforms standardized response codes from the OMOP CDM survey variables into numeric values and simplifies data preparation by providing functionalities for mapping and converting response codes, as well as handling missing data, facilitating easier and more reliable data analysis.
• OniPKG-Api — Helper para consumo de APIs
• openlineage-airflow — OpenLineage integration with Airflow
• pandas-pyarrow — A library for switching pandas backend to pyarrow
• pano-airflow — Programmatically author, schedule and monitor data pipelines
• pipeline-penguin — Pipeline Penguin is a versatile python library for data quality.
• ploosh — A framework to automatize your tests for data projects
• polywhirl — Run pandas-profiling HTML reports for a given list of database tables.
• PREAGeoFuns — A package for geo tools used to map card score
• profiles-rudderstack — no summary
• pyFission — A tool to sync data across data sources
• pygbq — Easily integrate data in BigQuery
• pygyver — Data engineering & Data science Pipeline Framework
• rgwml — Manipulate data with code that is less a golden retriever, and more a Samurai's sword
• santoku — Custom Python wrapper around many third party APIs, including AWS, BigQuery, Slack and Salesforce.
• shaku-database — Shaku Database util
• shaku-database-latest — Shaku Database util
• skt — SKT package
• swak — Swiss army knife for functional data-science projects.
• terra-billing-alert — Terra Billing Alert script for Google Cloud Function
• tokyo-lineage — Tokyo Lineage
• trell-ai-utils — Trell Database connectors, slack alerter and loggers
• ultipro — Python Client for the UltiPro SOAP API
• viadot2 — A simple data ingestion library to guide data flows from some places to other places.
• vpxhw-db-job-locator — package for locating jobs in vpxhw database
• waj-bigquery — no summary
• warehouses — Python library to facilitate read/write of GIS and tabular data between Python and cloud warehouses
• wh-lookml-gen — generates lookml from a warehouse
• xedro — Kedro helps you build production-ready data and analytics pipelines