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.
• arcade-collection — Collection of tasks for working with ARCADE.
• archimedes-flow-utils — Common code for all our prefect flows
• bayte — Bayesian target encoding with scikit-learn and scipy
• block-cascade — Library for model training in multi-cloud environment.
• 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.
• 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.
• 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
• echodataflow — Sonar conversion pipeline tool with echopype
• 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
• 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.
• giza-actions — 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
• 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
• komoutils — 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
• 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
• 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)
• pacsanini — A package for DICOM utilities.
• 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-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-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
• prefect-hex — Prefect integrations for interacting with Hex.
• prefect-hightouch — Prefect integrations for interacting with Hightouch.
• prefect-huaweicloud — Prefect collection of tasks and subflows to integrate with Huaweicloud
• prefect-hwc — Prefect collection of tasks and sub flows to integrate with HuaweiCloud
• prefect-jinja — Prefect Collection Template contains all the boilerplate that you need to create a Prefect collection.
• prefect-jupyter — Prefect integrations interacting with Jupyter.
• prefect-kubernetes — Prefect integrations for interacting with Kubernetes.
• prefect-kv — A simple key-value store for use with Prefect.
• prefect-lakefs — Prefect integrations for interacting with LakeFS services.
• prefect-memory-profiling — A collection of Prefect Tasks for different varieties of profiling
• prefect-metricflow — Collection of tasks to interact with MetricFlow
• prefect-monday — Prefect integrations interacting with Monday
• prefect-monte-carlo — Prefect integrations for interacting with Monte Carlo.
• prefect-multiprocess — A multiprocess task runner for Prefect 2.8.3+.
• prefect-openai — Prefect integrations for working with OpenAI.
• prefect-openmetadata — Prefect integration with OpenMetadata
• prefect-opentelemetry — Extend current prefect with Opentelemetry capability to monitor
• prefect-planetary-computer — Prefect integrations with Microsoft Planetary Computer
• prefect-pokemon — Tasks for retrieving Pokemon information
• prefect-ray — Prefect integrations with the Ray execution framework.
• prefect-redis — Prefect integrations for working with Redis