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Open Source Science

https://github.com/bentoml/bentoctl

Fast model deployment on any cloud 🚀

https://github.com/bentoml/bentoctl

Science Score: 13.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • ○
    CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
  • ○
    .zenodo.json file
  • ○
    DOI references
  • ○
    Academic publication links
  • ○
    Committers with academic emails
  • ○
    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (11.8%) to scientific vocabulary

Keywords

aws aws-deployment aws-lambda azure azure-deployment gcp gcp-deployment heroku-deployment mlops mlops-workflow model-deployment serverless

Keywords from Contributors

llm-inference llm-serving llmops ai-inference generative-ai inference-platform ml-engineering model-inference-service model-serving multimodal
Last synced: 5 months ago · JSON representation

Repository

Fast model deployment on any cloud 🚀

Basic Info
  • Host: GitHub
  • Owner: bentoml
  • License: other
  • Language: Python
  • Default Branch: main
  • Homepage: https://bentoml.com
  • Size: 10.9 MB
Statistics
  • Stars: 176
  • Watchers: 7
  • Forks: 30
  • Open Issues: 17
  • Releases: 9
Archived
Topics
aws aws-deployment aws-lambda azure azure-deployment gcp gcp-deployment heroku-deployment mlops mlops-workflow model-deployment serverless
Created over 4 years ago · Last pushed almost 2 years ago
Metadata Files
Readme Contributing License Code of conduct Codeowners

README.md

⚠ī¸ BentoCTL project has been deprecated

Plese see the latest BentoML documentation on OCI-container based deployment workflow: https://docs.bentoml.com/

🚀 Fast model deployment on any cloud

join_slack

bentoctl helps deploy any machine learning models as production-ready API endpoints on the cloud, supporting AWS SageMaker, AWS Lambda, EC2, Google Compute Engine, Azure, Heroku and more.

👉 Join our Slack community today!

✨ Looking deploy your ML service quickly? You can checkout BentoML Cloud for the easiest and fastest way to deploy your bento. It's a full featured, serverless environment with a model repository and built in monitoring and logging.

Highlights

  • Framework-agnostic model deployment for Tensorflow, PyTorch, XGBoost, Scikit-Learn, ONNX, and many more via BentoML: the unified model serving framework.
  • Simplify the deployment lifecycle of deploy, update, delete, and rollback.
  • Take full advantage of BentoML's performance optimizations and cloud platform features out-of-the-box.
  • Tailor bentoctl to your DevOps needs by customizing deployment operator and Terraform templates.

Getting Started

Supported Platforms:

Community

Contributing

There are many ways to contribute to the project:

  • Create and share new operators. Use deployment operator template to get started.
  • If you have any feedback on the project, share it with the community in Github Discussions under the BentoML repo.
  • Report issues you're facing and "Thumbs up" on issues and feature requests that are relevant to you.
  • Investigate bugs and reviewing other developer's pull requests.

Licence

Elastic License 2.0 (ELv2)

Owner

  • Name: BentoML
  • Login: bentoml
  • Kind: organization
  • Location: San Francisco

The most flexible way to serve AI models in production

GitHub Events

Total
  • Watch event: 2
Last Year
  • Watch event: 2

Committers

Last synced: almost 3 years ago

All Time
  • Total Commits: 129
  • Total Committers: 10
  • Avg Commits per committer: 12.9
  • Development Distribution Score (DDS): 0.45
Top Committers
Name Email Commits
Jithin James j****7@g****m 71
Bozhao y****6@g****m 40
Aaron Pham 2****m@u****m 4
Sean Sheng s****g@g****m 4
Chaoyu p****g@g****m 4
Tim Liu 9****l@u****m 2
David Kim d****e@u****m 1
Alexandre Maia a****a@g****m 1
Mauricio 5****n@u****m 1
Judah Rand 1****d@u****m 1

Issues and Pull Requests

Last synced: 8 months ago

All Time
  • Total issues: 31
  • Total pull requests: 80
  • Average time to close issues: about 1 month
  • Average time to close pull requests: 11 days
  • Total issue authors: 10
  • Total pull request authors: 13
  • Average comments per issue: 2.0
  • Average comments per pull request: 0.93
  • Merged pull requests: 68
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 0
  • Pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 0
  • Pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
View more stats
Top Authors
Issue Authors
  • jjmachan (11)
  • yubozhao (8)
  • ssheng (3)
  • adamwawrzynski (2)
  • math-sasso (2)
  • SLong97 (1)
  • TheisFerre (1)
  • hade94 (1)
  • BaptisteLoquette (1)
  • plaban1981 (1)
Pull Request Authors
  • jjmachan (50)
  • yubozhao (10)
  • aarnphm (6)
  • parano (5)
  • adamwawrzynski (2)
  • ssheng (1)
  • michaelromagne (1)
  • timliubentoml (1)
  • frostming (1)
  • krasserp (1)
  • judahrand (1)
  • cxz (1)
  • davkime (1)
Top Labels
Issue Labels
bug (6)
Pull Request Labels
On-hold (2)

Packages

  • Total packages: 1
  • Total downloads:
    • pypi 70 last-month
  • Total dependent packages: 0
  • Total dependent repositories: 2
  • Total versions: 14
  • Total maintainers: 2
pypi.org: bentoctl

Fast model deployment with BentoML on cloud platforms.

  • Versions: 14
  • Dependent Packages: 0
  • Dependent Repositories: 2
  • Downloads: 70 Last month
Rankings
Stargazers count: 5.4%
Forks count: 7.5%
Average: 9.3%
Dependent packages count: 10.1%
Dependent repos count: 11.5%
Downloads: 12.1%
Maintainers (2)
ssheng yubozhao
Last synced: 6 months ago

Dependencies

pyproject.toml pypi
  • black * develop
  • flake8 ^3.8.2 develop
  • isort ^5 develop
  • pylint ^2.6.2 develop
  • pytest ^6 develop
  • pytest-cov ^3 develop
  • PyYaml ^6
  • bentoml 1.*
  • cerberus ^1
  • click ^8
  • docker ^5
  • importlib-metadata
  • python ^3.7
  • rich
  • semantic_version ^2.9.0
  • simple-term-menu 0.4.4
.github/workflows/ci.yml actions
  • actions/checkout v2 composite
  • actions/setup-python v2 composite
  • codecov/codecov-action v2 composite
  • snok/install-poetry v1 composite
.github/workflows/codeql-analysis.yml actions
  • actions/checkout v2 composite
  • github/codeql-action/analyze v1 composite
  • github/codeql-action/autobuild v1 composite
  • github/codeql-action/init v1 composite
.github/workflows/release.yml actions
  • actions/checkout v3 composite
  • actions/download-artifact v3 composite
  • actions/setup-python v4 composite
  • actions/upload-artifact v2 composite
  • pypa/gh-action-pypi-publish release/v1 composite