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
- 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 — Tools to build data pipelines.
- datachain-sources — Sources for DataChain library.
- 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
- dot-connect — Improve your workflow efficiency by connecting to databases and cloud systems effortlessly.
- dropbase — Dropbase
- droughty — droughty is an analytics engineering toolkit, helping keep your workflow dry.
- droughty-dev — no summary
- dsmanager — Data Science tools to ease access and use of data and models
- 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.
- 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.
- 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-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.
- hedra — Performance testing at scale.
- hxm-refuel — Wrapper for financial database APIs
- 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
- 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 — `target-snowflake` is a Singer target for Snowflake, built with the Meltano SDK for Singer Targets.
- mesiqi — mesiqi helps you build data microservices
- 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
- msci.sdk — Provides easy interface for users to integrate MSCI APIs, content and data into their own choice of platform.
- muttlib — Collection of helper modules by Mutt Data.
- NikeCA — Standardize and Automate processes
- nuvolos — The Nuvolos python library for database connectivity
- omniduct — A toolkit providing a uniform interface for connecting to and extracting data from a wide variety of (potentially remote) data stores (including HDFS, Hive, Presto, MySQL, etc).
- openmetadata-data-profiler — Data Profiler Library for OpenMetadata
- 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 — Panoramic Command Line Tool
- pano-airflow — Programmatically author, schedule and monitor data pipelines
- pdsf — Python/Snowflake Functions
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