docker-credential-helpers
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public |
Docker CLI plugin for extended build capabilities with BuildKit
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2025-10-03 |
marimo
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public |
A library for making reactive notebooks and apps
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2025-10-03 |
prefect
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public |
The Prefect Core automation engine
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2025-10-02 |
mypy_boto3_cloudformation
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public |
Type annotations for boto3.CloudFormation 1.40.44 service, generated by mypy-boto3-builder
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2025-10-02 |
openinference-instrumentation-openai
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public |
OpenInference OpenAI Instrumentation
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2025-10-02 |
wisdem
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public |
Wind-Plant Integrated System Design and Engineering Model
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2025-10-02 |
libclang13
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public |
Development headers and libraries for Clang
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2025-10-02 |
libclang-cpp
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public |
Development headers and libraries for Clang
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2025-10-02 |
clangxx
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public |
Development headers and libraries for Clang
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2025-10-02 |
clang-format
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public |
Development headers and libraries for Clang
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2025-10-02 |
clang-21
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public |
Development headers and libraries for Clang
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2025-10-02 |
libclang
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public |
Development headers and libraries for Clang
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2025-10-02 |
clang
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public |
Development headers and libraries for Clang
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2025-10-02 |
clang-tools
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public |
Development headers and libraries for Clang
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2025-10-02 |
clangdev
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public |
Development headers and libraries for Clang
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2025-10-02 |
hugo
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public |
The extended version of the Hugo static site generator – the world's fastest framework for building websites.
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2025-10-02 |
clang-20
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public |
Development headers and libraries for Clang
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2025-10-02 |
casa_formats_io
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public |
Dask-based reader for CASA data
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2025-10-02 |
r-rangemodelmetadata
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public |
Range Modeling Metadata Standards (RMMS) address three challenges: they (i) are designed for convenience to encourage use, (ii) accommodate a wide variety of applications, and (iii) are extensible to allow the community of range modelers to steer it as needed. RMMS are based on a data dictionary that specifies a hierarchical structure to catalog different aspects of the range modeling process. The dictionary balances a constrained, minimalist vocabulary to improve standardization with flexibility for users to provide their own values. Merow et al. (2019) <DOI:10.1111/geb.12993> describe the standards in more detail. Note that users who prefer to use the R package 'ecospat' can obtain it from <https://github.com/ecospat/ecospat>.
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2025-10-02 |
r-hypetools
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public |
Work with model files (setup, input, output) from the hydrological catchment model HYPE: Streamlined file import and export, standard evaluation plot routines, diverse post-processing and aggregation routines for hydrological model analysis.
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2025-10-02 |
r-robis
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public |
Client for the Ocean Biogeographic Information System (<https://obis.org>).
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2025-10-02 |
raspa3
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public |
A general purpose classical simulation package
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2025-10-02 |
cross-r-base
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public |
R is a free software environment for statistical computing and graphics.
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2025-10-02 |
r-base
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public |
R is a free software environment for statistical computing and graphics.
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2025-10-02 |
sdl3
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public |
Low-level access to audio, keyboard, mouse, joystick, and graphics
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2025-10-02 |