Reverse Dependencies of moto

The following projects have a declared dependency on moto:

• data-prep-toolkit — Data Preparation Toolkit Library
• data-prep-toolkit-flows — Data Preparation Toolkit Library for creation and execution of ttansformers flows
• data-prep-toolkit-ray — Data Preparation Toolkit Library for Ray
• data-prep-toolkit-spark — Data Preparation Toolkit Library for Spark
• datacontract-cli — The datacontract CLI is an open source command-line tool for working with Data Contracts. It uses data contract YAML files to lint the data contract, connect to data sources and execute schema and quality tests, detect breaking changes, and export to different formats. The tool is written in Python. It can be used as a standalone CLI tool, in a CI/CD pipeline, or directly as a Python library.
• datacube — An analysis environment for satellite and other earth observation data
• datacube-alchemist — Batch process Open Data Cube datasets
• dataengine — General purpose data engineering python package.
• dataflows-airtable — Python library for adding AirTable support to dataflows
• dataflows-aws — A utility library for working with Table Schema in Python
• dataflows-elasticsearch — A utility library for working with data flows in Python and ElasticSearch
• dataflows-tabulator — Consistent interface for stream reading and writing tabular data (csv/xls/json/etc)
• datalake — datalake: a metadata-aware archive
• datalake-dtkav — datalake-dtkav: a fork of planetlabs/datalake
• datasets — HuggingFace community-driven open-source library of datasets
• datasets-fast — Optimisations for HuggingFace Datasets with array features
• datashack — no summary
• datashack-sdk — no summary
• datazimmer — sscu-budapest utilities for scientific data engineering
• dbsnaplake — A framework that convert Any Database Snapshot to Analytical Friendly Data Lake.
• deirokay — A tool for data profiling and data validation
• delphi-utils — Shared Utility Functions for Indicators
• demo-python-aws-click — Demo app for python aws click
• digitalhub — Python SDK for Digitalhub
• digitalhub-core — Python SDK for DHCore core layer
• diracx-core — Common code used by all DiracX packages
• diracx-routers — TODO
• discreetly — A secrets manager for AWS and GCP
• django-sqlite-backup — A Django app to easily backup your sqlite database through an endpoint.
• dna-audit-new — Data And Analytics Audit Tool
• dna-audit-new1 — Data And Analytics Audit Tool
• dna-audit-new2 — Data And Analytics Audit Tool
• dna-audit-new3 — Data And Analytics Audit Tool
• dna-audit-new4 — Data And Analytics Audit Tool
• dna-audit-tool — Data And Analytics Audit Tool
• dna-tool — Data And Analytics Audit Tool
• dnanew — Data And Analytics Audit Tool
• dnaold — Data And Analytics Audit Tool
• dnaold1 — Data And Analytics Audit Tool
• dnaold90 — Data And Analytics Audit Tool
• dnaold91 — Data And Analytics Audit Tool
• docb — Python ORM for DynamoDB
• dolphin — Workflows for generating surface displacement maps using InSAR
• dpk-doc-quality-transform-python — Document Quality Python Transform
• dpk-html2parquet-transform-python — HTML2PARQUET Python Transform
• dpk-noop-transform-ray — NOOP Ray Transform
• dpnext — Python implementation of the Data Package standard
• dpspecs — Python implementation of the Data Package standard
• drb-impl-s3 — DRB aws3 implementation
• droppii — General purpose tool to process data from S3 and anonymize fields containing personally identifiable information.
• dscitools — Tools for data science with Jupyter/Pandas/Spark
• dynamizer — Dynamodb model maker.
• dynamo-wrapper — A PyMongo-like wrapper for DynamoDB
• dynamoclasses — DynamoDB ORM using dataclasses
• dyntastic — A DynamoDB library on top of Pydantic and boto3.
• e3-aws — E3 Cloud Formation Extension
• ecr-cleaner — ECR Image Cleanup Tool
• ecs-deplojo — Deployment tool for Amazon ECS
• ecs-tasks-ops — Ecs Tasks Ops
• ecsopera — Elastic Container Orchestrator Toolset.
• edu-airflow — Programmatically author, schedule and monitor data pipelines
• emmaa — Ecosystem of Machine-maintained Models with Automated Analysis
• enforcer — AWS SSM Parameter Store Management CLI
• enforcer-reloaded — AWS SSM Parameter Store Management CLI
• enrichsdk — Enrich Developer Kit
• environ-config — Boilerplate-free configuration with env variables.
• eo-grow — Earth observation framework for scaled-up processing in Python
• eo-learn — Earth observation processing framework for machine learning in Python
• eodag — Earth Observation Data Access Gateway
• eodag-cube — Data access for EODAG
• equipment — The root of your next python project
• evadb — EvaDB AI-Relational Database System
• external-data-structures — A set of data structure abstractions for various external data stores.
• fake-py-django-storage — Django storage for fake.py
• falcon-helpers — A few helpful tools to make working with the falcon framework a real joy!
• fcl-algorithms — A suite of funcitons to analyse Bitcoin transaction networks and provide the back-end for findcryptolinks.com
• Feast — Python SDK for Feast
• feast-doris — Python SDK for Feast
• feastmo — Python SDK for Feast
• featuretools — a framework for automated feature engineering
• Flask-Annex — Efficient integration of external storage services for Flask
• Flask-Resize — Flask extension for resizing images in code and templates
• flipper-client — no summary
• fluke-api — Cloud-agnostic Python API
• frictionless — Data management framework for Python that provides functionality to describe, extract, validate, and transform tabular data
• frictionless-dfour — Dfour Storage for frictionless-py
• fsql — Metastore-like capabilities for various filesystems
• fsspec — File-system specification
• funcx-common — Common tools for funcX projects
• furiosa-registry — FuriosaAI model registry
• genflowly-lambda-utils — no summary
• gimme-secrets — AWS Parameter Store management
• globus-compute-common — Common tools for Globus Compute projects
• great-expectations — Always know what to expect from your data.
• great-expectations-cta — Always know what to expect from your data.
• grove — A Software as a Service (SaaS) log collection framework.
• hellonew — Data And Analytics Audit Tool
• hip-data-ml-utils — Common Python tools and utilities for Hipages ML work
• historical — Historical tracking of AWS resource configuration.
• historical-reports — Collection of reporting functions built on top of Historical data sets.