Ecosyste.ms: Packages
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anaconda.org : ray-default
Ray is a fast and simple framework for building and running distributed applications. It is split into ray-core, ray-default, ray-dashboard, ray-serve, ray-rllib, ray-client, ray-data, ray-tune, ray-train, ray-air, ray-observability and ray-all packages.
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purl: pkg:conda/ray-default
Keywords: automl, data-science, deep-learning, deployment, distributed, hyperparameter-optimization, hyperparameter-search, java, llm-serving, machine-learning, model-selection, optimization, parallel, python, pytorch, ray, reinforcement-learning, rllib, serving, tensorflow
License: Apache-2.0
Latest release: 5 months ago
First release: over 2 years ago
Dependent packages: 3
Dependent repositories: 4
Stars: 29,008 on GitHub
Forks: 4,976 on GitHub
Total Commits: 19892
Committers: 984
Average commits per author: 20.215
Development Distribution Score (DDS): 0.933
More commit stats: commits.ecosyste.ms
See more repository details: repos.ecosyste.ms
Last synced: 22 days ago
modin-ray 0.28.1
Modin is a drop-in replacement for pandas. While pandas is single-threaded, Modin lets you instan...7 versions - Latest release: 10 days ago - 3 dependent packages - 8,463 stars on GitHub
flytekitplugins-modin 1.2.4
Modin plugin for Flytekit: `flytekitplugins-modin` PyPI: [https://pypi.org/project/flytekitplugi...9 versions - Latest release: over 1 year ago - 123 stars on GitHub
modin-ray 0.17.0
Modin: Scale your Pandas workflows by changing a single line of code22 versions - Latest release: over 1 year ago - 4 dependent packages - 8,468 stars on GitHub