drift-watchdog
PulseGate's liveness check found it on 9 Oct 2026; it is registered on GitHub and PyPI and has been in the index since 17 Jun 2026. How this is checked
Lightweight ML model drift detection — CLI, Prometheus metrics, and alerts
Inferred · not functionally tested
Overview
5 featuresPurpose: Detecting and monitoring machine learning model drift in production environments.
Inferred · not functionally tested
Audience: mlops engineers
Inferred · not functionally tested
Functions: monitoring, analytics
Inferred · not functionally tested
Interfaces: API: indicated (inferred, not tested) · MCP: unknown · CLI: indicated (inferred, not tested) · Self-hosting: unknown
Recorded constraints: pricing: open_source · license: MIT · platforms: CLI · deployment: browser, cli
Constraint provenance is unknown; confirm requirements with the publisher.
Record sources: github.com. These links do not verify the individual claims.
drift-watchdog sits in PulseGate's Agent monitoring & governance category. Inferred · not functionally tested: It focuses on detecting and monitoring machine learning model drift in production environments. Inferred · not functionally tested: It is built as an open-source project for mlops engineers. Basis unknown · not verified: The project is open source (MIT). Basis unknown · not verified: It ships for the web and the command line.
NotHarshhaa builds and maintains drift-watchdog, and it first shipped in 2026. Development happens publicly on GitHub with 8 commits in the last 90 days. Inferred · not functionally tested: Key capabilities include drift detection, prometheus metrics, and alerting. Inferred · not functionally tested: Catalogued interfaces include a public API.
Summary written by a language model from the project’s public pages.
Tasks: Inferred · not functionally tested
- Drift detection
- Prometheus metrics
- Alerting
- CLI interface
- Lightweight monitoring
Topics: Inferred · not functionally tested
Built with & integrations
Trust & compliance
Indexing history
What PulseGate has recorded for this listing
Frequently asked questions about drift-watchdog
- What is drift-watchdog?
- Inferred · not functionally tested: Drift-watchdog focuses on detecting and monitoring machine learning model drift in production environments. It is catalogued under Agent monitoring & governance on PulseGate.
- Who should use drift-watchdog?
- Inferred · not functionally tested: drift-watchdog is an open-source project built for mlops engineers.
- Is drift-watchdog free?
- Basis unknown · not verified: Yes — drift-watchdog is open source under the MIT license and free to use.
- What platforms does drift-watchdog run on?
- Basis unknown · not verified: drift-watchdog runs on the web and the command line.
- Is drift-watchdog still maintained?
- PulseGate's liveness check found it on 9 Oct 2026. Its GitHub repository shows 8 commits in the last 90 days.
- What projects are similar to drift-watchdog?
- Similar projects tracked by PulseGate include drift-check, drift-analyzer, and tfdrift.drift-checkdrift-analyzertfdrift
- Who develops drift-watchdog?
- drift-watchdog is developed by NotHarshhaa.
- When did drift-watchdog launch?
- drift-watchdog first shipped in 2026.
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