Reverse Dependencies of Flask-AppBuilder
The following projects have a declared dependency on Flask-AppBuilder:
- ai-flow — An open source framework that bridges big data and AI.
- ai-flow-nightly — An open source framework that bridges big data and AI.
- alo7-airflow — Programmatically author, schedule and monitor data pipelines
- apache-airflow — Programmatically author, schedule and monitor data pipelines
- apache-airflow-providers-fab — Provider package apache-airflow-providers-fab for Apache Airflow
- apache-airflow-zack — Programmatically author, schedule and monitor data pipelines
- ApiLogicServer — Create JSON:API and Web App from database, with LogicBank -- 40X more concise, Python for extensibility.
- custom-workflow-solutions — Programmatically author, schedule and monitor data pipelines
- doc-tour — A web UI for detailed python coding
- eagle-kaist — Stock Extractor library
- edu-airflow — Programmatically author, schedule and monitor data pipelines
- fab-addon-client — Small text to resume your addon
- fab-coreui-theme — CoreUI theme for FlaskAppbuilder
- fab-oidc — Flask-AppBuilder SecurityManager for OpenIDConnect
- fab-oidc2 — Flask-AppBuilder SecurityManager for OpenIDConnect
- fab-react-toolkit — A small example package
- geniusrise — An LLM framework
- izroq-fab-sm — Custom Izroq Security Manager for FAB Apps (Superset & Airflow)
- k8srad — This is a demo project for our Kubernetes-Ready Rapid Application Framework.
- pano-airflow — Programmatically author, schedule and monitor data pipelines
- pervane — Plain text backed web based markdown note taking, cloud code editor and knowledge base building app
- RegScale-CLI — Command Line Interface (CLI) for bulk processing/loading data into RegScale
- s3app — S3App simplifies the access to a S3Buckets with a provider independent web based frontend which allows the visualizing and the management of the content of S3 buckets with an S3 provider independent web application.
- tokyo-lineage — Tokyo Lineage
- torchember — Tracking and Visualize after the burning PyTorch
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