Reverse Dependencies of prefect

The following projects have a declared dependency on prefect:

• abm-colony-collection — Collection of tasks for analyzing colony dynamics.
• abm-initialization-collection — Collection of tasks for initializing ABM simulations.
• abm-shape-collection — Collection of tasks for analyzing cell shapes.
• aces-apps — A collection of utilities developed out of the ACES working group to support the processing of ASKAP data.
• ai4data — no summary
• arcade-collection — Collection of tasks for working with ARCADE.
• archimedes-flow-utils — Common code for all our prefect flows
• assemblit — Assemblit is helping data analysts and scientists rapidly scale notebooks into analytics-as-a-service (AaaS) web-applications.
• bayte — Bayesian target encoding with scikit-learn and scipy
• block-cascade — Library for model training in multi-cloud environment.
• capfinder — A package for decoding RNA cap types
• carbonplan-trace — tracking forest carbon emissions
• cdp-backend — Data storage utilities and processing pipelines to run on CDP server deployments.
• cmip6-downscaling — Climate downscaling using cmip6 data
• container-collection — Collection of tasks for running containerized models.
• controlflow — A framework for building agentic LLM workflows
• CrumblPy — Common utility functions for Crumbl Data Team
• cupyopt — CU Python Opinionated Prefect Tasks
• d4data — Python Boilerplate contains all the boilerplate you need to create a Python package.
• data-dictionary-cui-mapping — This package allows you to load in a data dictionary and map cuis to defined fields using either the UMLS API or MetaMap API from NLM.
• data-harvesting — Set of tools to harvest, process and uplift (meta)data from metadata providers within the Helmholtz association to be included in the Helmholtz Knowledge Graph (Helmholtz-KG).
• datafetch — Tools for fetching data, and providing ready-to-use https://prefect.io flows
• datamonk-prefect-tasks — no summary
• datastep — A base class and utilities for creating steps in DAGs that are tied to large amounts of data.
• divina — Package for causal, scalable forecasting
• dspygen — A Ruby on Rails style framework for the DSPy (Demonstrate, Search, Predict) project for Language Models like GPT, BERT, and LLama.
• echodataflow — Sonar conversion pipeline tool with echopype
• edx-argoutils — Utility code to assist in writing Argo Flows.
• edx-prefectutils — Utility code to assist in writing Prefect Flows.
• elki-interface — Very basic interface to call elki from python
• enrichsdk — Enrich Developer Kit
• etl-bq-tools — etl_bq_tools
• exactonline-prefect-tasks — no summary
• fa-common — CSIRO Geoanalytics FastAPI Common Framework. Standardises Data access, authentication, task execution and provides a number of utilities and helper classes.
• fantasy-analysis — Library for doing analysis on a fantasy basketball league
• fasthep-flow — Convert YAML into a workflow DAG
• feature-forger — A feature building framework to extend with your common features and compute on demand.
• frozen-quant — A Quantitative Backtest Framework
• giza-actions — A Python SDK for Giza platform
• giza-agents — A Python SDK for Giza platform
• HackDuck — Machine learning data flow for reproducible data science
• inbound — declarative data ingestion.
• infractl — API driven Machine Learning suite
• infrahub-server — Infrahub is taking a new approach to Infrastructure Management by providing a new generation of datastore to organize and control all the data that defines how an infrastructure should run.
• investigraph — etl pipeline for investigations with follow the money data
• io-collection — Collection of tasks for I/O.
• jupyter-rstudio-singularity — Launch RStudio with Singularity from the command line.
• kedro-prefect-oliver — Kedro-Prefect integration library
• kubernetes-watch — no summary
• langchain-prefect — Orchestrate and observe tools built with langchain.
• lazyscribe — Lightweight and lazy experiment logging
• liveeo_prefect_utils — Common Prefect (2.0) utils.
• lolpop — A software engineering framework for machine learning workflows
• lucasdp — Modulos comunes para proyectos de datos
• mad-prefect — no summary
• make-us-rich — Cryptocurrency forecasting 📈 training and serving models made automatic
• marvin — A lightweight AI engineering toolkit for building natural language interfaces that are reliable, scalable, and easy to trust.
• meillionen — A model interface serialization and rpc framework
• mesiqi — mesiqi helps you build data microservices
• mlip-arena — no summary
• mtmai — no summary
• nflpocketarea2023 — NFL Big Data Bowl 2023: Analyzing pocket area.
• odp-sdk-python-ingest — ODP ingest SDK
• oliver-prefect-kedro-ii — Prefect and Kedro package for Oliverto deployments
• omnipy — Omnipy is a high level Python library for type-driven data wrangling and scalable workflow orchestration (under development)
• orchestration_utils — This package contains utility functions for Prefect and Snowflake
• pacsanini — A package for DICOM utilities.
• pfeed — Data pipeline for algo-trading, getting and storing both real-time and historical data made easy.
• porchestrator — Simple Task Orchestrator using Prefect
• prefect-2-discord — A collection enabling integration between Prefect 2.4.1+ and Discord.
• prefect-airbyte — prefect-airbyte contains tasks for interacting with Airbyte instances
• prefect-alert — Decorator to send alert when a Prefect task or flow fails
• prefect-anyscale — Prefect integrations with Anyscale.
• prefect-aws — Prefect integrations for interacting with Amazon Web Services.
• prefect-azure — Prefect integrations with Microsoft Azure services
• prefect-azure-dyvenia — Prefect tasks and subflows for interacting with Azure
• prefect-bitbucket — Prefect integrations for working with Bitbucket repositories.
• prefect-census — Prefect integrations for working with Census syncs
• prefect-collection — Prefect Collection Template contains all the boilerplate that you need to create a Prefect collection.
• prefect-cubejs — Prefect collection of tasks to interact with Cube.js
• prefect-dask — Prefect integrations with the Dask execution framework.
• prefect-databricks — Prefect integrations with Databricks
• prefect-dbt — Prefect integrations for working with dbt
• prefect-dbt-flow — Prefect - dbt integration
• prefect-dbtcloud — Collection of tasks to interact with dbt Cloud
• prefect-docker — Prefect integrations for interacting with Docker.
• prefect-ds — Tools for making Prefect work better for typical data science workflows
• prefect-duckdb — Prefect intergrations with DuckDB.
• prefect-earthdata — Prefect integrations with NASA Earthdata.
• prefect-email — Prefect integrations for interacting with email.
• prefect-extensions — no summary
• prefect-firebolt — Prefect integrations for working with Firebolt data warehouses.
• prefect-fivetran — Prefect integrations with Fivetran
• prefect-fugue — Fugue Prefect integration
• prefect-gcp — Prefect integrations for interacting with Google Cloud Platform.
• prefect-geopandas-serializer — PandasSerializer adapted for GeoPandas
• prefect-github — Prefect integrations interacting with GitHub
• prefect-gitlab — A Prefect collection for working with GitLab repositories.
• prefect-google-sheets — Prefect collection of tasks in order to work with Google Sheets
• prefect-great-expectations — Prefect Collection containing integrations for interacting with Great Expectations