Reverse Dependencies of pytest-env

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

• huggingface-hub — Client library to download and publish models, datasets and other repos on the huggingface.co hub
• hvl-ccb — Python common code base to control devices high voltage research devices, in particular, as used in Christian Franck's High Voltage Lab (HVL), D-ITET, ETH
• hydev — Common tooling and configuration for pythonic development
• ib-fundamental — Interactive Brokers Fundamental data for humans
• inorbit-cli — CLI tool to interact with InOrbit Cloud Platform
• jaws-libp — Jefferson Lab Alarm Warning System API
• jeng — A simple WITSML client with utilities.
• joeflow — The lean workflow automation framework for machines with heart.
• jupyter-kernel-install — Utility to install various jupyter kernel specs.
• jupyterlab-lsf — 📙 Run jupyter lab in an LSF host and map its port
• jupyverse — A set of FPS plugins implementing a Jupyter server
• justuse — a pure-python alternative to import
• kh-common — common libraries for kheina.com
• labgraph-db — A library for storing experimental materials science data as graphs using MongoDB.
• langchain_llm_utils — Utilities module for building LLM based apps
• langsmith-evaluation-helper — Helper library for langsmith evalution
• lino-amici — Manage your family contacts
• lino-avanti — Manage the integration course of immigrants in East Belgium
• lino-cosi — A simple accounting application.
• lino-noi — Manage support tickets and working time.
• lino-prima — Manage evaluation results and certificates in a primary school
• lino-react — The React front end for Lino
• ljdv384ytwg7w3y — AI software engineer
• llmcode-chat — Llmcode is AI pair programming in your terminal
• manim-slides — Tool for live presentations using manim
• mapFolding — Count distinct ways to fold a map (or a strip of stamps)
• marvin — A lightweight AI engineering toolkit for building natural language interfaces that are reliable, scalable, and easy to trust.
• matlab-proxy — Python® package enables you to launch MATLAB® and access it from a web browser.
• mcp-shell-server — MCP Shell Server - Execute shell commands via MCP protocol
• mcp-text-editor — MCP Text Editor Server - Edit text files via MCP protocol
• meconf — no summary
• medimages4tests — Generates dummy medical image data with realistic headers to be used in image handling tests
• meiga — A simple, typed and monad-based Result type for Python
• memorious — A minimalistic, recursive web crawling library for Python.
• metadata-inspector — Inspect metadata of weather/climate datasets
• metomi-isodatetime — Python ISO 8601 date time parser and data model/manipulation utilities
• midas-dev — no summary
• mnemo-lib — A library to read MNemo Survey Tool Memory files
• mngs — For lazy python users (monogusa people in Japanse), especially in ML/DSP fields
• mriqc-learn — Learning on MRIQC-generated image quality metrics (IQMs).
• msticpy — MSTIC Security Tools
• mysqld-integration-test — mysqld-integration-test is a python module that creates a temporary mysqld instance to use for testing your application.
• nano-duration — no summary
• napari-imagej — ImageJ functionality from napari
• narwhals — Extremely lightweight compatibility layer between dataframe libraries
• navis — Neuron Analysis and Visualization library
• ndmanager — Managing you nuclear data collection
• neorl — NeuroEvolution Optimisation with Reinforcement Learning
• neos_common — Neos Common Code
• nesso-cli — A CLI tool for managing data models.
• nibabies — Processing workflows for magnetic resonance images of the brain in infants
• nipype — Neuroimaging in Python: Pipelines and Interfaces
• nipype2pydra — Tool for converting Nipype tasks and workflows into Pydra syntax
• nitransforms — NiTransforms -- Neuroimaging spatial transforms in Python.
• niworkflows — NeuroImaging Workflows provides processing tools for magnetic resonance images of the brain.
• nodify — Supercharge your functional application with a powerful node system.
• NREL-sup3r — Super Resolving Renewable Resource Data (sup3r)
• nteract-scrapbook — A library for recording and reading data in Jupyter and nteract Notebooks
• numerous-files — no summary
• nxbench — A centralized benchmarking suite to facilitate comparative profiling of tools across graph analytic libraries and datasets
• nxlu — Natural Language Understanding of Network Topology
• objectiv-modelhub — The open model hub is a growing collection of data models that you can take, combine and run for product analysis and exploration.
• ocean-lib — 🐳 Ocean protocol library.
• oceana-jwt-auth — Oceana API library to manage JWT token in Flask Restx applications
• oceanum — Library for oceanum.io services
• oci-mlflow — OCI MLflow plugin to use OCI resources within MLflow
• opendrift-leeway-webgui — Web GUI for Leeway simulations with OpenDrift
• OpenSam — A GPT based slack bot trained to specific personalities and use cases.
• papermill — Parameterize and run Jupyter and nteract Notebooks
• pgmax — Loopy belief propagation for factor graphs on discrete variables in JAX
• pipeline2app — Pipeline2App: a tool for quickly turning pipelines into containerised applications (e.g. BIDS Apps or XNAT pipelines)
• pipeline2app-xnat — An extension of the pipeline2app to support making XNAT container service images
• plombery — Python task scheduler with a user-friendly web UI
• plombery-chinese — Bring Chinese page to project plombery
• plombery-multidb — Python task scheduler with a user-friendly web UI
• pnt_datasets — Package with datasets to develop and test navigation algorithms
• pogo_migrate — Database migration tool for asyncpg
• postgresql-integration-test — postgresql-integration-test is a python module that creates a temporary PostgreSQL instance to use for testing your application.
• powervaultpy — An integration to control the Powervault battery
• pre-commit-hooks-changelog — generate Changelog.md from yaml files in changelog folder
• predocs — PreDoCS (Preliminary Design of Composite Structures) is Python tool for a fast evaluation of wing structure concepts i.e. for a multi-disciplinary design optimization.
• prefect — Workflow orchestration and management.
• prefect-aws — Prefect integrations for interacting with Amazon Web Services.
• prefect-azure — Prefect integrations with Microsoft Azure services
• prefect-bitbucket — Prefect integrations for working with Bitbucket repositories.
• prefect-dask — Prefect integrations with the Dask execution framework.
• prefect-databricks — Prefect integrations with Databricks
• prefect-dbt — Prefect integrations for working with dbt
• prefect-docker — Prefect integrations for interacting with Docker.
• prefect-email — Prefect integrations for interacting with email.
• prefect-gcp — Prefect integrations for interacting with Google Cloud Platform.
• prefect-github — Prefect integrations interacting with GitHub
• prefect-gitlab — A Prefect collection for working with GitLab repositories.
• prefect-invenio-rdm — Prefect integrations interacting with an InvenioRDM instance.
• prefect-kubernetes — Prefect integrations for interacting with Kubernetes.
• prefect-ray — Prefect integrations with the Ray execution framework.
• prefect-redis — Prefect integrations with Redis.
• prefect-shell — Prefect integrations for interacting with shell commands.
• prefect-slack — Prefect integrations with Slack
• prefect-snowflake — Prefect integrations for interacting with Snowflake