| Package Name | Access | Summary | Updated |
|---|---|---|---|
| libopencv | public | Computer vision and machine learning software library. | 2025-10-11 |
| py-opencv | public | Computer vision and machine learning software library. | 2025-10-11 |
| opencv | public | Computer vision and machine learning software library. | 2025-10-11 |
| openfast | public | OpenFAST whole turbine simulation tool | 2025-10-11 |
| awscli | public | Universal Command Line Environment for AWS. | 2025-10-11 |
| ollama | public | Ollama CLI | 2025-10-11 |
| types-aiobotocore-logs | public | Type annotations for aiobotocore.CloudWatchLogs 2.25.0 service generated with mypy-boto3-builder | 2025-10-11 |
| invoke | public | Pythonic task execution | 2025-10-11 |
| fireworks | public | The Fireworks Workflow Management Repo. | 2025-10-11 |
| node-red | public | Low-code programming for event-driven applications | 2025-10-11 |
| pymomentum | public | A library for human kinematic motion and numerical optimization solvers to apply human motion | 2025-10-11 |
| pymomentum-cpu | public | A library for human kinematic motion and numerical optimization solvers to apply human motion | 2025-10-11 |
| momentum | public | A library for human kinematic motion and numerical optimization solvers to apply human motion | 2025-10-11 |
| momentum-cpp | public | A library for human kinematic motion and numerical optimization solvers to apply human motion | 2025-10-11 |
| boto3 | public | Amazon Web Services SDK for Python | 2025-10-11 |
| phasorpy | public | Analysis of fluorescence lifetime and hyperspectral images using the phasor approach | 2025-10-11 |
| httpx-sse | public | Consume Server-Sent Event (SSE) messages with HTTPX. | 2025-10-11 |
| mystmd | public | Command line tools for MyST Markdown | 2025-10-11 |
| coredis | public | Python async client for Redis key-value store | 2025-10-11 |
| google-genai | public | GenAI Python SDK | 2025-10-11 |
| r-fcps | public | Over sixty clustering algorithms are provided in this package with consistent input and output, which enables the user to try out algorithms swiftly. Additionally, 26 statistical approaches for the estimation of the number of clusters as well as the mirrored density plot (MD-plot) of clusterability are implemented. The packages is published in Thrun, M.C., Stier Q.: "Fundamental Clustering Algorithms Suite" (2021), SoftwareX, <DOI:10.1016/j.softx.2020.100642>. Moreover, the fundamental clustering problems suite (FCPS) offers a variety of clustering challenges any algorithm should handle when facing real world data, see Thrun, M.C., Ultsch A.: "Clustering Benchmark Datasets Exploiting the Fundamental Clustering Problems" (2020), Data in Brief, <DOI:10.1016/j.dib.2020.105501>. | 2025-10-11 |
| internetarchive | public | A Python interface to archive.org. | 2025-10-10 |
| kubernetes-cloud-provider-kind | public | Cloud provider for KIND clusters | 2025-10-10 |
| astropy-base | public | Community-developed Python Library for Astronomy | 2025-10-10 |
| llama-index-workflows | public | An event-driven, async-first, step-based way to control the execution flow of AI applications like Agents. | 2025-10-10 |
