Reverse Dependencies of flake8

The following projects have a declared dependency on flake8:

• asyncio-datagram — Higher level Datagram support for Asyncio
• asyncio-dgram — Higher level Datagram support for Asyncio
• asyncio-inspector — Awesome asyncio_inspector created by pappacena
• asyncio-run-in-process — asyncio-run-in-process: Asyncio friendly replacement for multiprocessing
• asynciolimiter — Rate limiter for Async IO
• asyncjobs — Asynchronous job scheduler
• asyncpg — An asyncio PostgreSQL driver
• asyncpg-dev — An asyncio PostgreSQL driver
• asyncpg-rkt — An asyncio PostgreSQL driver that returns numpy arrays
• asyncsql — Yet another async SQL lib.
• asyncstdlib — The missing async toolbox
• asynctodon — Async client for the Mastodon API
• atapi — Algorithmic Trading Framework
• atdf-easy — un template pour tous les projets python
• atef — Python Automated Test Execution Framework
• atlalign — Blue Brain multi-modal registration and alignment toolbox
• atlannot — Align and improve brain annotation atlases
• atlantiscore — atlantiscore
• atlas-framework — Class-based famework for quickly creating robust Python apps.
• atlasai-discovery-client — no summary
• atlasai-mlhub-client — no summary
• atlasai-vinz-cli — no summary
• atlasai-vinz-client — no summary
• atlasq — Query proxy that allows the usage of AtlasSearch with mongoengine specific syntax
• atlasq-tschaume — Query proxy that allows the usage of AtlasSearch with mongoengine specific syntax
• atldld — Search, download, and prepare atlas data.
• atlinter — Interpolate missing section images in gene expression volumes
• atm — Auto Tune Models
• atom-tools — Collection of tools for use with AppThreat/atom.
• atombench — atombench
• atomgpt — atomgpt
• atomict — The client application for the https://atomictessellator.com/
• AtomPacker — A python package for packing nanoclusters into supramolecular cages
• atomqc — atomqc
• atomvision — atomvision
• attribution — Generate changelogs based on tag messages and shortlogs
• audio-metadata — A library for reading and, in the future, writing metadata from audio files.
• audio2chat — Generate chat data from multi-speaker audio files
• audiobook — Listen to your favourite audiobook
• audiomate — Audiomate is a library for working with audio datasets.
• audioseal — Watermarking and detection for speech audios
• audiotag — A simple CLI audio tagger
• audit-AI — audit-AI detects demographic differences in the output of machine learning models or other assessments
• audius-py — Interact with the Audius platform in Python and the terminal
• AuDoLab — With AuDoLab you can do LDA on highly imbalanced datasets.
• Audyn — A PyTorch toolkit for audio synthesis.
• auger.ai — Auger python and command line interface package
• aurora-ssg — A fast static site generator implemented in Python.
• ausbills — Get current parliament bills from Australian governments.
• auth0-jwt-validator — Python Auth0 JWT Validator
• AuthBWC — A user authentication and authorization component for the BlazeWeb framework
• authedwig — Hedwig Python Library
• authk — SSHD Handling Utility
• authomize-rest-api-client — Authomize REST API Python Client
• auto-control-tools — control tools for automatic identification and PID controller aproximation
• auto-fe — A small python package
• auto-ir-metadata — no summary
• auto-verify — Efficient portfolio-based verification of neural network properties
• auto8 — A tool to automatically fix flake8 issues
• autobahn — WebSocket client & server library, WAMP real-time framework
• autobazaar — The Machine Learning Bazaar
• autobyteus — Multi-Agent framework
• autocalver — no summary
• AutoCarver — Automatic Discretization of Features with Optimal Target Association
• AutoCase — Automatic AI based (optional) Camel / Snake / Pascal / Kebab / Train(Title) / Upper / Lower Case Conversion
• autocut3d — a 3D segmentation algorithm based on cellular automata.
• autodatagen — no summary
• autodbconnect — A python package for connecting with mongodb database.
• autodistill — Distill large foundational models into smaller, domain-specific models for deployment
• autodistill-albef — ALBEF module for use with Autodistill
• autodistill-altclip — AltCLIP model for use with Autodistill.
• autodistill-azure — no summary
• autodistill-azure-vision — Azure Vision base model for use with Autodistill
• autodistill-bioclip — BioCLIP model for use with Autodistill
• autodistill-blip — BLIP module for use with Autodistill
• autodistill-blip2 — no summary
• autodistill-chameleon — no summary
• autodistill-chat-gpt — no summary
• autodistill-clip — CLIP module for use with Autodistill
• autodistill-coca — no summary
• autodistill-codet — CoDet model for use with Autodistill
• autodistill-deta — no summary
• autodistill-detic — DETIC module for use with Autodistill
• autodistill-detr — DETR module for use with Autodistill
• autodistill-dino — no summary
• autodistill-dinov2 — DINOv2 module for use with Autodistill
• autodistill-distilbert — DistilBERT model for use with Autodistill
• autodistill-efficient-yolo-world — EfficientSAM + YOLO-World base model for use with Autodistill
• autodistill-efficientnet — no summary
• autodistill-efficientsam — EfficientSAM model for use with Autodistill
• autodistill-eva-clip — EvaClip module for use with Autodistill
• autodistill-fastsam — FastSAM module for use with Autodistill
• autodistill-fastvit — FastViT model for use with Autodistill
• autodistill-flamingo — no summary
• autodistill-flan — no summary
• autodistill-florence-2 — Use Florence 2 to auto-label data for use in training fine-tuned object detection models.
• autodistill-gcp-vision — Autodistill Google Cloud Vision module for use in training a custom, fine-tuned model.
• autodistill-gemini — Model for use with Autodistill
• autodistill-glip — no summary
• autodistill-gpt-4o — GPT-4o model for use with Autodistill