Reverse Dependencies of pytest-forked

The following projects have a declared dependency on pytest-forked:

• ai2-catwalk — A library for evaluating language models.
• alauda-xdist — pytest xdist plugin for distributed testing and loop-on-failing modes
• aqlm — Efficiently run models quantized with AQLM
• asyncrepo — A library for providing a unified asyncio API for various data sources
• autoPyTorch — Auto-PyTorch searches neural architectures using smac
• avalon-rl — Avalon: A Benchmark for RL Generalization Using Procedurally Generated Worlds
• aws-sam-cli — AWS SAM CLI is a CLI tool for local development and testing of Serverless applications
• aws-sam-cli-without-docker — AWS SAM CLI is a CLI tool for local development and testing of Serverless applications
• aws-sam-rw-cli — AWS SAM CLI is a CLI tool for local development and testing of Serverless applications. This build allows lambda to write to the mounted filesystem.
• azdev — Microsoft Azure CLI Developer Tools
• azureml-automl-core — Contains the non-ML non-Azure specific common code associated with running AutoML.
• birdisle — Python bindings for birdisle
• blackhc.project — Notebook setup code
• buildgrid — A remote execution service
• CherryPy — Object-Oriented HTTP framework
• ciciautoapi — 增加了关联参数的提取和复制功能
• comets — CoMETS, the Cosmo Model Experimentation Toolbox, is a Python library for experimenting with numerical models and simulators
• CoverUp — LLM-powered test coverage improver
• cython-demo — A releasable demo for cython.
• dataone.test_utilities — Utilities for testing DataONE infrastructure components
• dateweek — Neste modulo são disponibilizadas funções de calendários.
• deepspeed — DeepSpeed library
• deepspeed-mii — deepspeed mii
• earthkit-data — A format-agnostic Python interface for geospatial data
• earthkit-geo — A format-agnostic Python interface for geospatial data
• edzed — An asyncio based library for building small automated systems
• eth-brownie — A Python framework for Ethereum smart contract deployment, testing and interaction.
• Find-Sitemap — A set of data tools in Python
• FireSpark — FireSpark data processing utility library
• flict — FOSS License Compatibility Tool
• gabrielribalves-mifflin — Reward Point System for Dunder Mifflin
• ghidriff — Ghidra Binary Diffing Engine
• grammar-to-regex — Conversion of a (sub) grammar to (approximated) regular expressions.
• gryaml — Represent Neo4j graph data as YAML.
• hivemind — Decentralized deep learning in PyTorch
• hops-petastorm — Petastorm is a library enabling the use of Parquet storage from Tensorflow, Pytorch, and other Python-based ML training frameworks. This is a fork of Petastorm that is compatible with Hops installations
• indy-node — Indy node
• indy-plenum — Plenum Byzantine Fault Tolerant Protocol
• islearn — ISLearn (Learning ISLa input invariants)
• jsaxonpy — Java Saxon XSLT transformations in your python applications
• jsonvl — JSON schema validator.
• landlock — Python interface to the Landlock Linux Security Module.
• laputa-base — laputa base frame
• lhotse — Data preparation for speech processing models training.
• libdnf5-shim — libdnf5 shim module for usage in virtualenvs
• lightly — A deep learning package for self-supervised learning
• lightning-flash — Your PyTorch AI Factory - Flash enables you to easily configure and run complex AI recipes.
• mead-audio8 — MEAD Audio
• mead-baseline — Strong Deep-Learning Baseline algorithms for NLP
• mead-layers — Reusable Deep-Learning layers for NLP
• MiniFL — A smal framework for reproducing FL experiments
• mixtape — Gstreamer python application mini-framework
• mlos-bench — MLOS Bench Python interface for benchmark automation and optimization.
• mlos-core — MLOS Core Python interface for parameter optimization.
• mlos-viz — MLOS Visualization Python interface for benchmark automation and optimization results.
• nectl — An end-to-end Python-based Infrastructure as Code framework for network automation and orchestration.
• nextstrain-cli — Nextstrain command-line tool
• petals — Easy way to efficiently run 100B+ language models without high-end GPUs
• petastorm — Petastorm is a library enabling the use of Parquet storage from Tensorflow, Pytorch, and other Python-based ML training frameworks.
• pliers — Multimodal feature extraction in Python
• process-tracker — Track child processes.
• proxyorderedset — A simple implementation of ordered sets as a proxy to Python's standard dict class.
• psyneulink — A block modeling system for cognitive neuroscience
• py2neo-compat — Compatibility layer for py2neo
• pycarbon-sdk — Pycarbon is a library that optimizes data access for AI based on CarbonData files, and it is based on Petastorm.
• pycnpj-cpf — CNPJ and CPF validator
• pyfortified-requests — Extension to Python `requests` functionality.
• pymars — MARS: a tensor-based unified framework for large-scale data computation.
• PyTango — Python bindings for the cppTango library; part of the Tango Distributed Control System toolkit
• pytest-anki — A pytest plugin for testing Anki add-ons
• pytest-xdist-debug-for-graingert — pytest xdist plugin for distributed testing and loop-on-failing modes
• pytest-xdist-forked — forked from pytest-xdist
• pytest-xdist-tracker — pytest plugin helps to reproduce failures for particular xdist node
• qaviton — python implementation of qaviton
• requests-fortified — Extension of Python HTTP `requests` with verbose logging using `logging-fortified`.
• requests-mv-integrations — Extension of Python HTTP `requests` with verbose logging using `logging-mv-integrations`.
• roger — Runoff Generation Research - a process-based hydrological toolbox model in Python
• routersploit — Exploitation Framework for Embedded Devices
• satella — Utilities for writing servers in Python
• satnogs-db — SatNOGS DB
• satnogs-network — SatNOGS Network
• smac — SMAC3, a Python implementation of 'Sequential Model-based Algorithm Configuration'.
• smarts — no summary
• spy-der — A simple Python package for fast DER computation
• tensor-parallel — Automatically shard your large model between multiple GPUs, works without torch.distributed
• test-petals — Easy way to efficiently run 100B+ language models without high-end GPUs
• toma — Write algorithms in PyTorch that adapt to the available (CUDA) memory
• typer-cloup — Typer, build great CLIs. Easy to code. Based on Python type hints.
• vecxx — Vectorize some text
• webviz-config — Configuration file support for webviz
• webviz-subsurface — Webviz config plugins for subsurface data
• xinference — Model Serving Made Easy
• xinference-client — Client for Xinference
• xorbits — Scalable Python data science, in an API compatible & lightning fast way.
• xorbits-sql — Run SQL queries freely on Xorbits.
• xoscar — Python actor framework for heterogeneous computing.
• xoscar-ray — Xoscar on Ray.