Reverse Dependencies of snowflake-sqlalchemy

The following projects have a declared dependency on snowflake-sqlalchemy:

• acryl-datahub — A CLI to work with DataHub metadata
• airbyte — PyAirbyte
• airbyte-lib — AirbyteLib
• alchemy-modelgen — no summary
• alo7-airflow — Programmatically author, schedule and monitor data pipelines
• altimate-dataminion — Internal package. Use this at your own risk, support not guaranteed
• amundsen-databuilder — Amundsen Data builder
• amundsen-databuilder-azure — Amundsen Data builder
• amundsen-databuilder-neo4j4 — Amundsen Data builder
• anai-opensource — Automated ML
• apache-airflow — Programmatically author, schedule and monitor data pipelines
• apache-airflow-backport-providers-snowflake — Backport provider package apache-airflow-backport-providers-snowflake for Apache Airflow
• 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-snowflake — Provider package apache-airflow-providers-snowflake for Apache Airflow
• apache-airflow-zack — Programmatically author, schedule and monitor data pipelines
• archetypon — Data Modeling and validation with Pydantic and Pandas, specifically designed for Jupyter Notebooks.
• 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.
• astronomer-providers — Apache Airflow Providers containing Deferrable Operators & Sensors from Astronomer
• atscale — The AI-Link package created by AtScale
• bqpipe — Wrapper around BigQuery & Snowflake libraries to simplify writing to/reading from Pandas DataFrames.
• CADPR — Standardize and Automate processes utilized by the DAMs at Nike in CA
• castor-extractor — Extract your metadata assets.
• cdpdev-datahub — A CLI to work with DataHub metadata
• chalkpy — Python SDK for Chalk
• cloud2sql — Read infrastructure data from your cloud and export it to a SQL database.
• connector-factory — Connector Factory;
• continual — Operational AI for the Modern Data Stack
• crewai-tools — Set of tools for the crewAI framework
• crunch-kernel — Kernel connecting functions
• crunchkernelpackage — Kernel connecting functions
• custom-workflow-solutions — Programmatically author, schedule and monitor data pipelines
• dagster-snowflake — Package for Snowflake Dagster framework components.
• dagster-snowflake-pandas — Package for integrating Snowflake and Pandas with Dagster.
• dagster-snowflake-pyspark — Package for integrating Snowflake and PySpark with Dagster.
• dask-snowflake — Dask + Snowflake intergration
• database-factory — Database Factory;
• databuilder-amundsen — Amundsen Data builder
• datachain-sources — Sources for DataChain library.
• datachecks — Open Source Data Quality Monitoring
• dataops-testgen — DataKitchen's Data Quality DataOps TestGen
• DATAWAREHOUSE-CONNECTOR — A package for database session management
• dbcat — Tokern Data Catalog
• 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.
• dbt-sugar — A sweet CLI tool to help dbt users enforce documentation and testing on their dbt projects.
• dbtlogs — no summary
• dbtlogs-prebuild — no summary
• dbtlogs1 — no summary
• dcs-core — Open Source Data Quality Monitoring
• detectpii — Detect PII columns in your database and warehouse
• dot-connect — Improve your workflow efficiency by connecting to databases and cloud systems effortlessly.
• droughty — droughty is an analytics engineering toolkit, helping keep your workflow dry.
• droughty-dev — no summary
• edp-amundsen-databuilder — EDP Amundsen Data builder
• edu-airflow — Programmatically author, schedule and monitor data pipelines
• ethyca-fides — Open-source ecosystem for data privacy as code.
• etlops — ETL Operations
• exabel-data-sdk — Python SDK for the Exabel Data API
• expert-intelligence-toolbox — Collection of geospatial and transformational functions used by Expert Intelligence Lda.
• fakesnow — Fake Snowflake Connector for Python. Run, mock and test Snowflake DB locally.
• fb-data — Python package with helper functions for the Data team.
• featuretools-sql — directly import and convert their relational data into a Featuretools
• fidesctl — CLI for Fides
• fivetran-autogen — no summary
• fixdatalink — Data Pipelines for Fix infrastructure data.
• fullscript.spellbook — A simple package to make your life easier.
• functional-functions — Commonly used functions by the Compass FBI Team
• gitlabdata — GitLab Data Utils
• goodcrap — goodcrap creates tables, databases and csv files and fill them with random data
• great-expectations — Always know what to expect from your data.
• great-expectations-cloud — Great Expectations Cloud
• great-expectations-cta — Always know what to expect from your data.
• gretel-trainer — Synthetic Data Generation with optional Differential Privacy
• griptape — Modular Python framework for LLM workflows, tools, memory, and data.
• hckr — no summary
• hedra — Performance testing at scale.
• hxm-refuel — Wrapper for financial database APIs
• hyperscale — Performance testing at scale.
• 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.
• intelcom-helper — Code used frequently at Intelcom
• janehag — SE Libary for various tasks
• jds-tools — Utility library designed for Data Science, Data Engineering, and Python Development projects
• jupysql — Better SQL in Jupyter
• kzr-snowflake — Snowflake helper library
• lolpop — A software engineering framework for machine learning workflows
• mara-db — Configuration and monitoring of database connections
• meld-sandbox — M3LD data privacy as code.
• meltanolabs-tap-snowflake — `tap-snowflake` is a Singer tap for Snowflake, built with the Meltano SDK for Singer Taps.
• meltanolabs-target-snowflake — Singer target for Snowflake, built with the Meltano SDK for Singer Targets.
• mesiqi — mesiqi helps you build data microservices
• metamart-ingestion — Ingestion Framework for MetaMart
• metaphor-connectors — A collection of Python-based 'connectors' that extract metadata from various sources to ingest into the Metaphor app.
• metricflow-lite — Lite version of MetricFlow. This version is missing dependencies for using connectors with data warehouses
• mitzu — Product analytics over your data warehouse
• ml-processor — Includes functions for performing econometrics tasks
• mlapp — IBM Services Framework for ML Applications Python 3 framework for building robust, production-ready machine learning applications. Official ML accelerator within the larger RAD-ML methodology.
• monosi — Monosi - Data observability & monitoring toolkit