Reverse Dependencies of moto

The following projects have a declared dependency on moto:

• historical-reports-s3 — Historical function for generating full dictionary of all S3 buckets and corresponding metadata.
• hopsworks — Hopsworks Python SDK to interact with Hopsworks Platform, Feature Store, Model Registry and Model Serving
• hub-kinesis — Library for Kinesis Implementation
• iceprod — IceCube dataset management system
• idg-metadata-client — Ingestion Framework for OpenMetadata
• IIIFingest — A wrapper library for interacting with the MPS ingest system for IIIF resources
• iker-python-common — no summary
• infra-surveyor — An Autodocumenting tool for Cloud Infrastructure
• inspect-ai — Framework for large language model evaluations
• intake-dynamodb — Intake plugin for reading data from dynamodb
• invenio-s3 — S3 file storage support for Invenio.
• jobflow — jobflow is a library for writing computational workflows
• jupyterlab-s3-browser — JupyterLab extension for browsing S3-compatible object storage
• jupyterlab-s3-browser-uccps — JupyterLab extension for browsing S3-compatible object storage
• kedro-datasets — Kedro-Datasets is where you can find all of Kedro's data connectors.
• kinto-attachment — Attach files to Kinto records
• kloppy — Standardizing soccer tracking- and event data
• lambda-deploy-krhobeck — Makes AWS Lambda deployment more fluent
• lambda-uploader — AWS Python Lambda Packager
• launchflow — Python-native infrastructure for the cloud: LaunchFlow provides a Python SDK that automatically creates and connects to production-ready infrastructure (such as Postgres, Redis, etc..) in your own cloud account. LaunchFlow completely removes the need for DevOps allowing you to focus on your application logic.
• lemur — Certificate management and orchestration service
• lgw — Configure an AWS Gateway in front of a Lambda function.
• liam — I will look for you, I will find you, and I will delete you.
• localstack-extension-aws-replicator — LocalStack AWS Proxy Extension
• lsst-resources — An abstraction layer for reading and writing from URI file resources.
• maggma — Framework to develop datapipelines from files on disk to full dissemenation API
• majorkirby — Puts CloudFormation stacks into motion.
• mashlib — Common library tools for Moonshine AI
• messageflux — no summary
• miarec-s3fs — Amazon S3 filesystem for PyFilesystem2
• mk-feature-store — Python SDK for Feast
• ml-cloud-tools — ML Tools for the Cloud
• ml2p — A minimum-lovable machine-learning pipeline, built on top of AWS SageMaker.
• mo-json-config — More JSON Configuration! JSON configuration files with `$ref` and template overlays
• mo-streams — More Streams! Chained function calls
• molflux — A foundational package for molecular predictive modelling
• mosaicml — Composer is a PyTorch library that enables you to train neural networks faster, at lower cost, and to higher accuracy.
• mosaicml-streaming — Streaming lets users create PyTorch compatible datasets that can be streamed from cloud-based object stores
• mr.s3 — Syncing scripts Plone data between local and AWS S3
• nameko — A microservices framework for Python that lets service developers concentrate on application logic and encourages testability.
• nbclient — A client library for executing notebooks. Formerly nbconvert's ExecutePreprocessor.
• nefertem — Python data validation library
• nefertem-core — Python data validation library
• newslaunch — A utility for retrieving and streaming news articles for analysis and processing.
• nodepool — Node pool management for a distributed test infrastructure
• nteract-testbook — A unit testing framework for Jupyter Notebooks
• nums — A numerical computing library for Python that scales.
• nwp-consumer — Tool for aggregating raw NWP files into .zarr files
• oarepo-s3 — S3 file storage support for Invenio.
• oarepo-tokens — OArepo module that adds support for tokens
• openeo-driver — Flask based frontend for openEO API implementations in Python.
• openmetadata-ingestion — Ingestion Framework for OpenMetadata
• opentracing-async-instrumentation — Async Tracing Instrumentation using OpenTracing API (http://opentracing.io)
• opentracing_instrumentation — Tracing Instrumentation using OpenTracing API (http://opentracing.io)
• optuna — A hyperparameter optimization framework
• optuna-dashboard — Real-time dashboard for Optuna
• osc-ingest-tools — OS-Climate Python tools to assist with standardized data ingestion workflows
• otf-addons-aws — Addons for opentaskpy, giving it the ability to push/pull via AWS S3, and pull variables from AWS SSM Parameter Store.
• palladium — Framework for setting up predictive analytics services
• pano-airflow — Programmatically author, schedule and monitor data pipelines
• papermill — Parameterize and run Jupyter and nteract Notebooks
• param-store — Parameter store for secrets
• persidict — Simple persistent key-value store for Python. Values are stored as files on a disk or as S3 objects on AWS cloud.
• persisty — A better persistence layer for python
• persisty-data — A binary data persistence layer built on top of persisty
• pfio — PFN IO library
• pilotis-io-aws — This is the implementation of pilotis-io for AWS
• pipindex — pipindex creates PEP-503 compliant package repositories.
• piprepo — piprepo creates PEP-503 compliant package repositories.
• playback-studio — Record your service operations in production and replay them locally at any time in a sandbox
• ploomber — Write maintainable, production-ready pipelines using Jupyter or your favorite text editor. Develop locally, deploy to the cloud.
• plugin-monitoring-metric-collector — Collector monitoring data per providers
• polaris-lib — Client for the Polaris Hub.
• polyaxon — Command Line Interface (CLI) and client to interact with Polyaxon API.
• Pontus — Flask utility for Amazon S3.
• prefect — Workflow orchestration and management.
• prefect-aws — Prefect integrations for interacting with Amazon Web Services.
• primrose — Primrose: a framework for simple, quick modeling deployments
• pspring-aws — A framework to do a better development.
• py-lambda-simulator — no summary
• py3helpers — Python utility functions.
• pyAFQ — pyAFQ: Automated Fiber Quantification ... in Python
• pycaret — PyCaret - An open source, low-code machine learning library in Python.
• pycaret-nightly — Nightly version of PyCaret - An open source, low-code machine learning library in Python.
• pycodehash — no summary
• PyFlexAPI — A client for handling requests to Amazon DynamoDB.
• pyformation — CloudFormation eloquently expressed as Python
• pygyver — Data engineering & Data science Pipeline Framework
• pyiron-contrib — Repository for user-generated plugins to the pyiron IDE.
• pynamodb-mate — Provide Additional Features for pynamodb.
• pyrcmip — Tools for accessing RCMIP data
• pys3thon — no summary
• pytest-aiomoto — pytest-aiomoto
• pytest-mock-resources — A pytest plugin for easily instantiating reproducible mock resources.
• pytest-moto-fixtures — Fixtures for testing code that interacts with AWS
• pytest-serverless — Automatically mocks resources from serverless.yml in pytest using moto.
• pytest-servers — pytest servers
• python-s3-utils — Some simple wrapper functions around boto3 functionality.
• ralph-malph — Ralph, the ultimate Learning Record Store (and more!) for your learning analytics.
• rasa-hydra — Forked from the open source machine learning framework, Rasa