Reverse Dependencies of aiobotocore

The following projects have a declared dependency on aiobotocore:

• aioboto3 — Async boto3 wrapper
• aiobotocore-stubs — aiobotocore stubs for typing
• aiofm — Async file manager for Python
• aiohttp-client-cache — Persistent cache for aiohttp requests
• aios3 — Wrapper for aiobotocore to simplify reading of large files
• aioworkers-boto — Connector and storage over boto
• airflow-commons — Common functions for airflow
• altest — no summary
• amazon-sagemaker-sql-editor — Jupyter extension for SQL editing capabilities within Amazon SageMaker notebooks
• apache-airflow-providers-amazon — Provider package apache-airflow-providers-amazon for Apache Airflow
• apolo-sdk — Apolo SDK
• appyter — no summary
• arraylake — Python client for ArrayLake
• astronomer-providers — Apache Airflow Providers containing Deferrable Operators & Sensors from Astronomer
• async-kinesis — AsyncIO Kinesis Library
• async-notify — Asyncio-based Library for send notifications (messages) to users.
• async-patterns — pattern for registering callbacks
• async-s3 — S3 Bucket helper utils. Async list objects by folders.
• async-sqs-consumer — no summary
• asyncdb — Library for Asynchronous data source connections Collection of asyncio drivers.
• asyncrepo — A library for providing a unified asyncio API for various data sources
• aws-artifact-copy — no summary
• aws-s3 — S3 Bucket helper utils. Async list objects by folders.
• aws-scraper — A Python utility for submitting and running scraping jobs in parallel on AWS ECS Fargate.
• awsgnssroutils — Utilities for access and manipulation of GNSS radio occultation in the AWS Registry of Open Data
• backend.ai-agent — Backend.AI Agent
• batchtools — Command line tool to process subjects with re:THINQ using AWS Batch
• bedrock-llm — A Python LLM framework for interacting with AWS Bedrock services, built on top of boto3. This library serves as a comprehensive tool for fast prototyping, building POCs, and deploying production-ready LLM applications with robust infrastructure support.
• bia-explorer — no summary
• bolna — no summary
• bookstore — Storage Workflows for Notebooks
• bpm-ai — AI task automation for BPM engines.
• buildflow — BuildFlow, is an open source framework for building large scale systems using Python. All you need to do is describe where your input is coming from and where your output should be written, and BuildFlow handles the rest.
• burr — A state machine for data projects
• catflow-worker — Consumer/publisher loop for workers in an object recognition pipeline
• clean-python — Clean architecture in Python
• clubbi_utils — no summary
• codeflare-torchx — TorchX SDK and Components
• comlink — Send and receive messages by using SQS queues.
• ConnectKit-S3 — Wrapper for connection to S3
• cowfish — A useful asynchronous library that is built on top of aiobotocore
• cratedb-toolkit — CrateDB Toolkit
• dappier-py — Dappier Python SDK for interacting with Dappier APIs
• dask-cloudprovider — Native Cloud Provider integration for Dask
• deafrica-tools — Functions and algorithms for analysing Digital Earth Africa data.
• diracx-core — Common code used by all DiracX packages
• diracx-routers — TODO
• django-fileresponse — Serving files directly from Django
• dvc-s3 — s3 plugin for dvc
• edgex-access — S3 protocol Data access to AWS S3
• eyja-aws-hub — AWS Hub for Eyja
• fast-agave — Rest api blueprints for fast-api
• fastapi-cache-ava — Cache for FastAPI
• fastapi-cache2 — Cache for FastAPI
• fastapi-cache2-fork — Cache for FastAPI. An opinionated fork of fastapi-cache library that uses msgspec for json encoding/decoding where possible
• fastapi-nitro — Cache for FastAPI
• featurebyte — Python Library for FeatureOps
• flowi — no summary
• fondat-aws — Fondat package for Amazon Web Services.
• foundry-dev-tools — Seamlessly run your Palantir Foundry Repository transforms code on your local machine.
• fridonai-core — Core functionality for FridonAI
• frontpy — FrontPy is a Python package designed for the detection and analysis of atmospheric fronts. It uses the Thermal Front Parameter (TFP) method to identify cold and warm fronts. The package also includes visualization capabilities, allowing users to plot the identified fronts over GOES-16 satellite imagery.
• fsspec — File-system specification
• gluefix — no summary
• gmlutil — General Machine Learning Utility Package
• gmlutil-data-extraction — General Machine Learning Utility Package for Data Extraction
• goodbyecaptcha — An asynchronized Python library to automate solving ReCAPTCHA v2 by images/audio
• gridworks-debug-cli — Gridworks Debug Cli
• guillotina-s3storage — s3 guillotina storage support
• h2o-drive — H2O Drive Python Client
• hip-data-ml-utils — Common Python tools and utilities for Hipages ML work
• hscan — A python framework
• hypha — A serverless application framework for large-scale data management and AI model serving.
• imjoy — ImJoy Plugin Engine for running Python plugins locally or remotely from ImJoy.io
• inpynamodb — asyncio wrapper of PynamoDB
• insanic-iniesta — Messaging integration for insanic
• investos — Reliable backtesting and portfolio optimization for investors who want to focus on generating alpha
• kiba-core — Kiba Labs' python utilities
• lambda-utility — no summary
• lamindb_setup — Setup & configure LaminDB.
• latch-aws — Traced and managed aws resources
• latch-cloud-clients — no summary
• leruli — Use leruli.com from command line and Python code.
• lisa-globalfit-framework — LISA GlobalFit Framework
• liveeo_prefect_utils — Common Prefect (2.0) utils.
• llama-deploy — no summary
• loafer — Asynchronous message dispatcher for concurrent tasks processing
• loafer-ng — Asynchronous message dispatcher for concurrent tasks processing
• lorrystream — A lightweight and polyglot stream-processing library, to be used as a data backplane-, message relay-, or pipeline-subsystem.
• maios3 — Async file uploader to aws s3
• mapchete — Tile-based geodata processing using rasterio & Fiona
• meadowrun — The easiest way to run python code on one or more remote machines
• mlem — Version and deploy your models following GitOps principles
• mlrun — Tracking and config of machine learning runs
• near-lake-framework — Python Library to connect to the NEAR Lake S3 and stream the data
• neuro-sdk — Apolo SDK
• nice-go — Control various Nice access control products
• nodestream-plugin-neptune — no summary
• noisepy-seis — A High-performance Computing Python Package for Ambient Noise Analysis
• nomnomdata-tools-engine — Package containing tooling for developing nominode engines