# Welcome to SageWorks
The SageWorks framework makes AWS® both easier to use and more powerful. SageWorks handles all the details around updating and managing a complex set of AWS Services. With a simple-to-use Python API and a beautiful set of web interfaces, SageWorks makes creating AWS ML pipelines a snap. It also dramatically improves both the usability and visibility across the entire spectrum of services: Glue Job, Athena, Feature Store, Models, and Endpoints, SageWorks makes it easy to build production ready, AWS powered, machine learning pipelines.
<img align="right" width="500" alt="sageworks_new_light" src="https://github.com/SuperCowPowers/sageworks/assets/4806709/ed2ed1bd-e2d8-49a1-b350-b2e19e2b7832">
### Full AWS ML OverView
- Health Monitoring 🟢
- Dynamic Updates
- High Level Summary
### Drill-Down Views
- Incoming Data
- Glue Jobs
- DataSources
- FeatureSets
- Models
- Endpoints
### Installation
- ```pip install sageworks``` Installs SageWorks
- ```sageworks``` Runs the SageWorks REPL/Initial Setup
For the full instructions for connecting your AWS Account see:
- Initial Setup/Config: [Initial Setup](https://supercowpowers.github.io/sageworks/#initial-setupconfig)
- One time AWS Onboarding: [AWS Setup](https://supercowpowers.github.io/sageworks/aws_setup/core_stack/)
### SageWorks Documentation
<img align="right" width="340" alt="sageworks_api" style="padding-left: 10px;" src="https://github.com/SuperCowPowers/sageworks/assets/4806709/bf0e8591-75d4-44c1-be05-4bfdee4b7186">
[SageWorks Documentation](https://supercowpowers.github.io/sageworks/): The documentation contains examples from the SageWorks source code in this repository under the `examples/` directory. For a full code listing of any example please visit our [SageWorks Examples](https://github.com/SuperCowPowers/sageworks/blob/main/examples)
### SageWorks Beta Program
Using SageWorks will minimize the time and manpower needed to incorporate AWS ML into your organization. If your company would like to be a SageWorks Beta Tester, contact us at [sageworks@supercowpowers.com](mailto:sageworks@supercowpowers.com).
### Contributions
If you'd like to contribute to the SageWorks project, you're more than welcome. All contributions will fall under the existing project [license](https://github.com/SuperCowPowers/sageworks/blob/main/LICENSE). If you are interested in contributing or have questions please feel free to contact us at [sageworks@supercowpowers.com](mailto:sageworks@supercowpowers.com).
<img align="right" src="docs/images/scp.png" width="180">
® Amazon Web Services, AWS, the Powered by AWS logo, are trademarks of Amazon.com, Inc. or its affiliates
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"description": "\n# Welcome to SageWorks\nThe SageWorks framework makes AWS\u00ae both easier to use and more powerful. SageWorks handles all the details around updating and managing a complex set of AWS Services. With a simple-to-use Python API and a beautiful set of web interfaces, SageWorks makes creating AWS ML pipelines a snap. It also dramatically improves both the usability and visibility across the entire spectrum of services: Glue Job, Athena, Feature Store, Models, and Endpoints, SageWorks makes it easy to build production ready, AWS powered, machine learning pipelines.\n\n<img align=\"right\" width=\"500\" alt=\"sageworks_new_light\" src=\"https://github.com/SuperCowPowers/sageworks/assets/4806709/ed2ed1bd-e2d8-49a1-b350-b2e19e2b7832\">\n\n### Full AWS ML OverView\n- Health Monitoring \ud83d\udfe2\n- Dynamic Updates\n- High Level Summary\n\n### Drill-Down Views\n- Incoming Data\n- Glue Jobs\n- DataSources\n- FeatureSets\n- Models\n- Endpoints\n\n\n### Installation\n\n- ```pip install sageworks``` Installs SageWorks\n\n- ```sageworks``` Runs the SageWorks REPL/Initial Setup\n\nFor the full instructions for connecting your AWS Account see:\n\n- Initial Setup/Config: [Initial Setup](https://supercowpowers.github.io/sageworks/#initial-setupconfig) \n- One time AWS Onboarding: [AWS Setup](https://supercowpowers.github.io/sageworks/aws_setup/core_stack/)\n\n\n\n### SageWorks Documentation\n<img align=\"right\" width=\"340\" alt=\"sageworks_api\" style=\"padding-left: 10px;\" src=\"https://github.com/SuperCowPowers/sageworks/assets/4806709/bf0e8591-75d4-44c1-be05-4bfdee4b7186\">\n\n[SageWorks Documentation](https://supercowpowers.github.io/sageworks/): The documentation contains examples from the SageWorks source code in this repository under the `examples/` directory. For a full code listing of any example please visit our [SageWorks Examples](https://github.com/SuperCowPowers/sageworks/blob/main/examples)\n\n\n### SageWorks Beta Program\nUsing SageWorks will minimize the time and manpower needed to incorporate AWS ML into your organization. If your company would like to be a SageWorks Beta Tester, contact us at [sageworks@supercowpowers.com](mailto:sageworks@supercowpowers.com).\n\n### Contributions\nIf you'd like to contribute to the SageWorks project, you're more than welcome. All contributions will fall under the existing project [license](https://github.com/SuperCowPowers/sageworks/blob/main/LICENSE). If you are interested in contributing or have questions please feel free to contact us at [sageworks@supercowpowers.com](mailto:sageworks@supercowpowers.com).\n\n<img align=\"right\" src=\"docs/images/scp.png\" width=\"180\">\n\n\u00ae Amazon Web Services, AWS, the Powered by AWS logo, are trademarks of Amazon.com, Inc. or its affiliates\n",
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