Who should use pipeio?

pipeio is an open-source project built for researchers and data scientists.

Yes — pipeio is open source under the MIT license and free to use.

What platforms does pipeio run on?

pipeio runs on the web and the command line. It can also be self-hosted.

Is pipeio still maintained?

The GitHub repository shows 65 commits in the last 90 days.

pipeio is developed by arashshahidi1997.

Is pipeio open source?

Yes — pipeio is open source under the MIT license, developed on GitHub.

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pipeio

Name: pipeio
Author: arashshahidi1997

github.comInfrastructure

pipeio is a CLI tool for managing pipelines, notebook lifecycles, and workflow automation in research repositories. It is designed for researchers and data scientists who need to organize and automate complex research workflows.

Open SourceMITWebCLISelf-hosted

Visit github.com

Overview

5 features

In the Data science & ML workbench space, pipeio takes a focused approach. It focuses on managing and automating research workflows, pipelines, and notebook lifecycles in research repositories. pipeio is an open-source project aimed at researchers and data scientists. The project is open source (MIT). It runs on the web and the command line, and it can be self-hosted.

It is developed by arashshahidi1997, and it first shipped in 2026. Development happens publicly on GitHub with 65 commits in the last 90 days. Among its 5 catalogued features are pipeline registry, notebook lifecycle management, and flow management.

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

Pipeline registry
Notebook lifecycle management
Flow management
Research workflow
CLI interface

Built with & integrations

Runs on

BrowserCLISelf-hosted

Trust & compliance

License

MIT

Verified signals

HTTPSOpen SourceFree tierGitHubActive maintenance

Indexing history

What PulseGate has recorded for this listing

Indexed25 Jun · 18:28 UTC
Listing verified against its public source
Source: PulseGate · Open

Frequently asked questions about pipeio

What does pipeio do?: Pipeio focuses on managing and automating research workflows, pipelines, and notebook lifecycles in research repositories. It is catalogued under Data science & ML workbench on PulseGate.
Who should use pipeio?: pipeio is an open-source project built for researchers and data scientists.
Is pipeio free?: Yes — pipeio is open source under the MIT license and free to use.
What platforms does pipeio run on?: pipeio runs on the web and the command line. It can also be self-hosted.
Is pipeio still maintained?: The GitHub repository shows 65 commits in the last 90 days.
Who makes pipeio?: pipeio is developed by arashshahidi1997.
How long has pipeio been around?: pipeio first shipped in 2026.
Is pipeio open source?: Yes — pipeio is open source under the MIT license, developed on GitHub.

At a glance

Platforms: Cli
Languages: English
Open source: Yes (GitHub)
License: MIT
Built for: Researchers and data scientists
Model: Open source
Solves: Managing and automating research workflows, pipelines, and notebook lifecycles in research repositories.

Registered as

GitHub: arashshahidi1997/pipeio
PyPI: pipeio

Developer

arashshahidi1997

Solo developer

GitHub

Open source

View on GitHub

Stars: 0
Forks: 0
Open issues: 0
Last commit: 28 Apr 2026
Commits 90d: 65
Contributors: 1
Authorship: Solo
Default branch: master

Index record

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

Identity audit (12)

Slug: pipeio-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/arashshahidi1997/pipeio

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