smdebug-rulesconfig
SMDebug RulesConfig
Decision gist · record as of 2026-08-14
No, unless you are maintaining legacy code that already depends on this package. The project is abandoned (last commit 2022-12-09, no releases since 2020-12-18), and its functionality may have been absorbed into the SageMaker Python SDK. For new projects, use the SageMaker SDK directly or verify current best practices for SageMaker Debugger rule configuration.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python >=2.7, but intended for use with the Amazon SageMaker Python SDK; standalone use may be limited without that context.
- Low install friction with no runtime dependencies.
- However, the package is abandoned—last commit was 2022-12-09 and no releases since 2020-12-18.
License · maintenance · safety
Apache License Version 2.0 (permissive) — Licensed under Apache License 2.0 (permissive). You may use, modify, and distribute this package freely in commercial and private projects, provided you retain license notices.
last release 2020-12-18 (2065 days) · last repo commit 2022-12-09 · 8 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 17,506,491 downloads/mo, #1,117 on PyPI
Alternatives
Verify before relying
pip install smdebug-rulesconfig
from smdebug_rulesconfig import rules
rule = rules.LossNotDecreasing()
config = rule.to_json()- Whether this package is still required for current SageMaker Debugger workflows or if functionality has been merged into the main SageMaker SDK.
- Exact scope of 'common collections' configuration retrieval mentioned in the description.
What it is and what it does
smdebug-rulesconfig is a configuration helper library for Amazon SageMaker Debugger that bundles predefined monitoring rules you can apply to SageMaker training jobs. It lets you reference built-in rules by name and customize their settings without having to understand the underlying rule mechanics or JSON schema. The package was designed as a companion to the Amazon SageMaker Python SDK and can also be used as a standalone rule configuration retriever.
The library has been abandoned since late 2020 and receives no active maintenance. Its last commit was in December 2022, but no new releases have been published since December 2020. If you are starting a new project with SageMaker Debugger, you should verify whether this functionality has been integrated into the main SageMaker SDK or replaced by a newer approach.
Use it for
- Configure built-in SageMaker Debugger rules for a training job without writing rule JSON manually.
- Retrieve preset rule configurations for common monitoring scenarios (e.g., loss tracking, gradient anomalies).
- Integrate rule definitions into a SageMaker training pipeline using the Python SDK.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
No, unless you are maintaining legacy code that already depends on this package.
The project is abandoned (last commit 2022-12-09, no releases since 2020-12-18), and its functionality may have been absorbed into the SageMaker Python SDK. For new projects, use the SageMaker SDK directly or verify current best practices for SageMaker Debugger rule configuration.
Install
smdebug-rulesconfig on PyPI
Before you install
Low install friction with no runtime dependencies. However, the package is abandoned—last commit was 2022-12-09 and no releases since 2020-12-18. Use only if you are locked into an older SageMaker Debugger workflow; active projects should check whether the SageMaker Python SDK has superseded this functionality.
Requires Python >=2.7, but intended for use with the Amazon SageMaker Python SDK; standalone use may be limited without that context.
License in practice
Licensed under Apache License 2.0 (permissive). You may use, modify, and distribute this package freely in commercial and private projects, provided you retain license notices.
Quickstart
pip install smdebug-rulesconfig
from smdebug_rulesconfig import rules
rule = rules.LossNotDecreasing()
config = rule.to_json()Verify before relying
- Whether this package is still required for current SageMaker Debugger workflows or if functionality has been merged into the main SageMaker SDK.
- Exact scope of 'common collections' configuration retrieval mentioned in the description.
Package facts
| License | Apache License Version 2.0 permissive |
| Python support | Supports the current Python release >=2.7 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | None |
| Maintenance | Abandoned 2,065 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 17,506,491 / month, #1,117 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | License :: OSI Approved :: Apache Software LicenseOperating System :: OS IndependentProgramming Language :: Python :: 3 |
Evidence: smdebug_rulesconfig-1.0.1-py2.py3-none-any.whl
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