Reverse Dependencies of pytest
The following projects have a declared dependency on pytest:
- labelf-api — A Python package for interacting with the Labelf API
- labeling — A package to create labeling/segmentation information based on pixel values.
- labelme-toolkit — Labelme Toolkit
- labels-local — PyPI Package for Circles labels-local Python
- labgraph — LabGraph is a Python framework for rapidly prototyping experimental systems for real-time streaming applications
- labgraph-db — A library for storing experimental materials science data as graphs using MongoDB.
- labgrid — embedded systems control library for development, testing and installation
- labhack — A super-science roguelike
- labkey — Python client API for LabKey Server
- labmate — Data management library to save data and plots to hdf5 files
- labnode-async — Python3 AsyncIO Labnode driver
- laboral-kutxa — Unofficial Laboral Kutxa Python library
- laboro — The Laboro workflow framework
- laboro-database — Laboro Database module
- laboro-demo — The Laboro demonstration module
- laboro-ftp — Laboro FTP module
- laboro-http — The Laboro Http client module
- laboro-mail — The Laboro email management module
- laboro-ssh — The Laboro SSH/SFTP client module
- laboro-template — Laboro templating module
- labpacks — Easy creation of machine learning labs
- labton — Clean minimal text-annotation tool - with buildt in control of Inter-Annotator Agreement
- labtool-ex2 — Lab-Tool - A Python based lab-data visualization tool
- labugr — Laboratorio de seƱales UGR
- laconia — Simple API for RDF
- lact — free automation testing tool powered by python
- ladim_aggregate — Aggregate tool for LADiM output files
- ladim-plugins — IBMs for LADiM
- LadiPao — Read the latest RaNaCl tutorials
- laebelmaker — Generate traefik labels easily
- laelaps — Catchall email alias monitor and verifier
- laflem — Tools collection
- lago-python-client — Lago Python API Client
- lagrange — Pure-Python implementation of Lagrange interpolation over finite fields.
- Lagranto — Library to work with trajectories.
- lagtraj — Python trajectory code for Lagrangian simulations
- lahja — Generic event bus for asynchronous cross-process communication
- laicheil.force2019 — ...
- lake-aha — Memory Generator based on Kratos: The God of War.
- lakeformation — Data Access Control as Code (DACAC) Framework based on AWS LakeFormation
- lakefs-spec — An fsspec implementation for lakeFS.
- lakeweed — Elastic parser for data-like string, JSON, JSON Lines, and CSV to RDB record
- laktory — A DataOps framework for building a lakehouse
- lale — Library for Semi-Automated Data Science
- lama-cleaner — Image inpainting tool powered by SOTA AI Model
- lama-cleaner-custom — Image inpainting tool powered by SOTA AI Model
- lama-phenotype-detection — Phenotype detection pipeline for finding abnormalities in mouse embryos
- lamatic-airbyte-cdk — A framework for writing Airbyte Connectors.
- lambda-bundler — A utility to bundle python code and/or dependencies for deployment to AWS Lambda
- lambda-httpx — Invoke AWS lambdas with httpx
- lambda-invoke — Conveniently invoke lambda mimicking a proxy invocation
- lambda_requests — Use Requests to invoke AWS Lambdas
- lambda-router — AWS Lambda Routing Utility
- lambda-uploader — AWS Python Lambda Packager
- lambdacloud — A Python client library for Lambda Lab's Cloud
- lambdaguard — LambdaGuard
- lambdalabs-python — Python SDK for Lambda Labs Public API
- LambdaLib — Standardized ASIC design libraries
- lambdantic — Pydantic model and lambda event handler for AWS Lambda
- lambdapdk — Library of open source Process Design Kits
- lambdarest — flask like web framework for AWS Lambda
- lambdaz — DSL for lambda definition
- lambdser — fast lambda expression serializer
- lambeq — A QNLP toolkit
- lamberthub — A collection of Lambert's problem solvers
- lamin — LaminDB setup.
- lamin_logger — Logging setup.
- lamin_utils — Lamin Utils.
- lamin_validator — Validators built on LaminDB.
- lamin_vault — Lamin vault.
- laminci — Internal CI tools.
- lamindb — A data framework for biology.
- lamindb_schema — Schema modules.
- lamindb_setup — Setup & configure LaminDB.
- laminhub_rest — Rest API for the hub.
- laminlake — Lamin Lake.
- lamo — Unix language driver for software 2.0
- lan — this is a description
- lancedb — lancedb
- landbosse — LandBOSSE
- lander — HTML landing page generator for LSST PDF documentation deployed from Git to LSST the Docs.
- landfall — Easy to use functions to plot geospatial data on maps using staticmaps.
- landlab — Open-source Python package for numerical modeling of Earth surface dynamics.
- landlock — Python interface to the Landlock Linux Security Module.
- LANDMarkClassifier — LANDMark: An ensemble approach to the supervised selection of biomarkers in high-throughput sequencing data
- lanelet2x — Your favorite map handling framework for automated driving, now standalone and with cross-platform support.
- lang2py — no summary
- LangaraCourseInfo — Langara Course Information Aggregator
- langchain-google-alloydb-pg — LangChain integrations for Google Cloud AlloyDB for PostgreSQL
- langchain-google-bigtable — LangChain integrations for Google Cloud Bigtable
- langchain-google-cloud-sql-mssql — LangChain integrations for Google Cloud SQL for SQL Server
- langchain-google-cloud-sql-mysql — LangChain integrations for Google Cloud SQL for MySQL
- langchain-google-cloud-sql-pg — LangChain integrations for Google Cloud SQL for PostgreSQL
- langchain-google-datastore — LangChain integrations for Google Cloud Datastore
- langchain-google-el-carro — LangChain integrations for Google El Carro Oracle
- langchain-google-firestore — LangChain integrations for Google Cloud Firestore
- langchain-google-memorystore-redis — LangChain integrations for Google Cloud Memorystore
- langchain-google-spanner — LangChain integrations for Google Cloud Spanner
- langchain-googledrive — This is a temporary project while I wait for my langchain [pull-request](https://github.com/hwchase17/langchain/pull/5135) to be validated.
- langchain-openai-limiter — Wrapper for Langchain & OpenAI api calls which use OpenAI headers to deal with TPM & RPM.