MlOpus focuses on streamlining MLOps tasks for research and development teams via the command line. It is catalogued under Data science & ML workbench on PulseGate.

Who should use mlOpus?

mlOpus is an open-source project built for machine learning researchers and engineers.

Does mlOpus have a free plan?

Yes — mlOpus is open source under the Apache-2.0 license and free to use.

What platforms does mlOpus run on?

mlOpus runs on the web and the command line.

Is mlOpus still active?

The GitHub repository shows 8 commits in the last 90 days.

mlOpus is developed by lariel-fernandes.

Is mlOpus open source?

Yes — mlOpus is open source under the Apache-2.0 license, developed on GitHub.

Back to the index

mlOpus

Name: mlOpus
Author: lariel-fernandes

github.comInfrastructure

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.

Open SourceApache-2.0WebCLI

Visit github.com

2stars

5features

2024since

Overview

5 features

In the Data science & ML workbench space, mlOpus takes a focused approach. It focuses on streamlining MLOps tasks for research and development teams via the command line. mlOpus is an open-source project aimed at machine learning researchers and engineers. The project is open source (Apache-2.0). 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. 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.

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

Built with & integrations

Runs on

BrowserCLI

Trust & compliance

License

Apache-2.0

Verified signals

HTTPSOpen SourceFree tierGitHub · ★ 2Active maintenance

Indexing history

What PulseGate has recorded for this listing

Indexed25 Jun · 20:41 UTC
Listing verified against its public source
Source: PulseGate · Open

Frequently asked questions about mlOpus

What is mlOpus?: MlOpus focuses on streamlining MLOps tasks for research and development teams via the command line. It is catalogued under Data science & ML workbench on PulseGate.
Who should use mlOpus?: mlOpus is an open-source project built for machine learning researchers and engineers.
Does mlOpus have a free plan?: Yes — mlOpus is open source under the Apache-2.0 license and free to use.
What platforms does mlOpus run on?: mlOpus runs on the web and the command line.
Is mlOpus still active?: The 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?: Yes — mlOpus is open source under the Apache-2.0 license, developed on GitHub.

At a glance

Platforms: Cli
Languages: English
Open source: Yes · ★ 2
License: Apache-2.0
Built for: machine learning researchers and engineers
Model: Open source
Solves: Streamlining MLOps tasks for research and development teams via the command line.

Registered as

GitHub: lariel-fernandes/mlopus
PyPI: mlOpus

Developer

lariel-fernandes

Small team

GitHub

Open source

View on GitHub

Stars: 2
Forks: 0
Open issues: 3
Last commit: 16 Apr 2026
Commits 90d: 8
Contributors: 3
Authorship: Small team
Default branch: main
Latest release: 1.5.0 · 24 Nov 2025

Index record

Identity confidence: Low · 64
Indexed: 25 Jun 2026
Lifecycle: Alive
Last seen: 25 Jun 2026

Identity audit (12)

Slug: mlopus-pypi-org
Lifecycle last checked: 8 Aug 2026
Verification state: Indexed for public listing
Listing state: Listed: yes
Index status: Included in index
Latest evidence snapshot: 25 Jun 2026
Timeline basis: Indexed-at chronology. This listing's first-seen date was written by the catalog backfill, not observed here, so it is not treated as a sighting.
Name from: Written by a language model from the project's public pages.
Category from: Assigned by a language model.
Summary from: Written by a language model from public pages.
Languages from: Detected by a language model from page content.
Canonical URL: https://github.com/lariel-fernandes/mlopus

Ship this? Send a correction — no account, and you get a link to follow it.

Similar projects

Closest matches by what these projects do

LMtoolboxpypi.org