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mlOpus

github.comInfrastructure

PulseGate's liveness check found it on 13 Sep 2026; it is registered on GitHub and PyPI and has been in the index since 25 Jun 2026. How this is checked

mlOpus is a command-line toolkit designed to support MLOps tasks in research and development. It provides tools for managing machine learning workflows, making it suitable for researchers and engineers seeking to automate and streamline their ML processes.

Inferred · not functionally tested

Open SourceApache-2.0WebCLI
mlOpus preview
Visit github.com
2stars
5features
2024since

Overview

5 features

Purpose: Streamlining MLOps tasks for research and development teams via the command line.

Inferred · not functionally tested

Audience: machine learning researchers and engineers

Inferred · not functionally tested

Functions: workflow_automation

Inferred · not functionally tested

Interfaces: API: unknown · MCP: unknown · CLI: indicated (inferred, not tested) · Self-hosting: unknown

Recorded constraints: pricing: open_source · license: Apache-2.0 · 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.

In the CLI tools & terminal space, mlOpus takes a focused approach. Inferred · not functionally tested: It focuses on streamlining MLOps tasks for research and development teams via the command line. Inferred · not functionally tested: mlOpus is an open-source project aimed at machine learning researchers and engineers. Basis unknown · not verified: The project is open source (Apache-2.0). Basis unknown · not verified: It runs on the web and the command line.

lariel-fernandes builds and maintains mlOpus, and it first shipped in 2024. Development happens publicly on GitHub with 8 commits in the last 90 days. Inferred · not functionally tested: Among its 5 catalogued features are MLOps tools, research workflow support, and CLI interface.

Summary written by a language model from the project’s public pages.

Tasks: Inferred · not functionally tested

  • MLOps tools
  • Research workflow support
  • CLI interface
  • Open source
  • Apache 2.0 license

Topics: Inferred · not functionally tested

Tags
mlops-cliresearch-toolsworkflow-automation

JSON profile · Text profile · Access guide

Built with & integrations

Runs on
BrowserCLI

Trust & compliance

License
Apache-2.0
Public signals
HTTPSOpen SourceFree tierGitHub · ★ 2Active maintenance

Indexing history

What PulseGate has recorded for this listing

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Frequently asked questions about mlOpus

What is mlOpus?
Inferred · not functionally tested: MlOpus focuses on streamlining MLOps tasks for research and development teams via the command line. It is catalogued under CLI tools & terminal on PulseGate.
Who should use mlOpus?
Inferred · not functionally tested: mlOpus is an open-source project built for machine learning researchers and engineers.
Does mlOpus have a free plan?
Basis unknown · not verified: Yes — mlOpus is open source under the Apache-2.0 license and free to use.
What platforms does mlOpus run on?
Basis unknown · not verified: mlOpus runs on the web and the command line.
Is mlOpus still active?
PulseGate's liveness check found it on 13 Sep 2026. Its GitHub repository shows 8 commits in the last 90 days.
Who develops mlOpus?
mlOpus is developed by lariel-fernandes.
When did mlOpus launch?
mlOpus first shipped in 2024.
Is mlOpus open source?
Basis unknown · not verified: Yes — mlOpus is open source under the Apache-2.0 license, developed on GitHub.

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