Reverse Dependencies of pytest-split
The following projects have a declared dependency on pytest-split:
- agility — Analysis tool for simulations of grain boundaries and interfaces
- angr — A multi-architecture binary analysis toolkit, with the ability to perform dynamic symbolic execution and various static analyses on binaries
- apache-airflow-provider-transfers — This project contains the Universal Transfer Operator which can transfer all the data that could be read from the source Dataset into the destination Dataset. From a DAG author standpoint, all transfers would be performed through the invocation of only the Universal Transfer Operator.
- astro-projects — A decorator that allows users to run SQL queries natively in Airflow.
- astro-provider-databricks — Affordable Databricks Workflows in Apache Airflow
- astro-sdk-python — Astro SDK allows rapid and clean development of {Extract, Load, Transform} workflows using Python and SQL, powered by Apache Airflow.
- atomate2 — atomate2 is a library of materials science workflows
- autoplex — Automated machine-learned Potential Landscape explorer
- basedai — basedai
- bittensor — Bittensor
- bittensor-wallet — no summary
- bt-decode — A wrapper around the scale-codec crate for fast scale-decoding of Bittensor data structures.
- cybertensor — cybertensor
- deepmd-kit — A deep learning package for many-body potential energy representation and molecular dynamics
- dpm-tools — A collection of tools and workflows to streamline the processing and visualization of porous media images.
- idf-component-manager — Espressif IDF Component Manager
- langflow-base-nightly — A Python package with a built-in web application
- langinfra-base — A Python package with a built-in web application
- lobsterpy — Package for automatic bonding analysis with Lobster/VASP
- localstack-core — The core library and runtime of LocalStack
- Molara — A visualisation tool for chemical structures.
- mosaicml-streaming — Streaming lets users create PyTorch compatible datasets that can be streamed from cloud-based object stores
- named-arrays — Numpy arrays with labeled axes, similar to xarray but with support for uncertainties
- nxbench — A centralized benchmarking suite to facilitate comparative profiling of tools across graph analytic libraries and datasets
- nxlu — Natural Language Understanding of Network Topology
- open-clip-torch — Open reproduction of consastive language-image pretraining (CLIP) and related.
- openclsim — The OpenCLSim package aims to facilitate rule based planning of cyclic activities and in depth comparison of different system concepts.
- pandapipes — A pipeflow calculation tool that complements pandapower in the simulation of multi energy grids
- porespy — A set of tools for analyzing 3D images of porous materials
- pymatgen — Python Materials Genomics is a robust materials analysis code that defines core object representations for structures
- pymatgen-analysis-diffusion — Pymatgen add-on for diffusion analysis.
- pymatviz — A toolkit for visualizations in materials informatics
- sdss-marvin — Toolsuite for dealing with the MaNGA dataset
- synthesized3 — Synthesized SDK.
- tiledb-cloud — TileDB Cloud platform Python client
- TopoModelX — Topological Deep Learning
- vip-hci — Package for astronomical high-contrast image processing.
- vyper — Vyper: the Pythonic Programming Language for the EVM
- zenml — ZenML: Write production-ready ML code.
- zenml-nightly — ZenML: Write production-ready ML code.
- zgl-streaming — Streaming lets users create PyTorch compatible datasets that can be streamed from cloud-based object stores
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