This project has been archived by its maintainers, and is no longer receiving any updates.
ServiceFoundry
ServiceFoundry is a client library that allows you to containerize and deploy your Machine Learning model (or other services) to a managed Kubernetes Cluster. This also generates a Grafana cluster with complete visibility of your Service Health, System Logs, and Kubernetes Workspace.
It is available both as a command-line-interface and via APIs that allow you to deploy directly from your Jupyter Notebook.
You can access the health of your service, monitoring links and deployed endpoints by logging on to TrueFoundry's dashboard.
Installation
pip install -U servicefoundry
Documentation
Release files for servicefoundry 0.10.16
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| servicefoundry-0.10.16.tar.gz | 81.9 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| servicefoundry-0.10.16-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 206.2 kB
Release files / servicefoundry-0.10.16.tar.gz
| Download URL | servicefoundry-0.10.16.tar.gz |
|---|---|
| Size | 81.9 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.0 CPython/3.9.19
|
Release files / servicefoundry-0.10.16-py3-none-any.whl
| Download URL | servicefoundry-0.10.16-py3-none-any.whl |
|---|---|
| Size | 124.3 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.0 CPython/3.9.19
|