What does apolo-flow do?

Defining, managing, and executing complex ML pipelines within the Apolo MLOps platform. It is catalogued under Developer Tools on PulseGate.

Who should use apolo-flow?

apolo-flow is an open-source project built for data scientists.

Does apolo-flow have a free plan?

Yes — apolo-flow is open source under the Apache 2 license and free to use.

What platforms does apolo-flow run on?

apolo-flow runs on the command line.

Is apolo-flow still maintained?

The GitHub repository shows 16 commits in the last 90 days.

What projects are similar to apolo-flow?

Similar projects tracked by PulseGate include Track Debug, ZenPress, and StarPulse.

Who develops apolo-flow?

apolo-flow is developed by Neuro Inc.

How long has apolo-flow been around?

apolo-flow first shipped in 2020.

Back to the index

apolo-flow

Name: apolo-flow
Author: Neuro Inc.

PyPIInfrastructure

Apolo Flow is a pipelines system designed for the Apolo MLOps platform. It enables users to define, version, and run reproducible machine learning workflows. Built for data scientists and ML engineers working in cloud-based MLOps environments.

Open SourceApache 2CLI

Visit PyPI

17stars

4forks

2features

2020since

Overview

2 features

In the Developer Tools space, apolo-flow takes a focused approach. Defining, managing, and executing complex ML pipelines within the Apolo MLOps platform. apolo-flow is an open-source project aimed at data scientists. apolo-flow is open source under the Apache 2 license. It ships for the command line.

It is developed by Neuro Inc., and it first shipped in 2020. The project is developed in the open on GitHub with 17 stars and 16 commits in the last 90 days.

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

Pipeline orchestration
MLOps integration

Built with & integrations

Runs on

CLI

Trust & compliance

License

Apache 2

Verified signals

HTTPSOpen SourceFree tierGitHub · ★ 17Active maintenance

Indexing history

What PulseGate has recorded for this listing

Indexed22 Jul · 16:48 UTC
apolo-flow verified against its public source
Source: PulseGate · Open

Frequently asked questions about apolo-flow

What does apolo-flow do?: Defining, managing, and executing complex ML pipelines within the Apolo MLOps platform. It is catalogued under Developer Tools on PulseGate.
Who should use apolo-flow?: apolo-flow is an open-source project built for data scientists.
Does apolo-flow have a free plan?: Yes — apolo-flow is open source under the Apache 2 license and free to use.
What platforms does apolo-flow run on?: apolo-flow runs on the command line.
Is apolo-flow still maintained?: The GitHub repository shows 16 commits in the last 90 days.
What projects are similar to apolo-flow?: Similar projects tracked by PulseGate include Track Debug, ZenPress, and StarPulse.Track Debug ZenPress StarPulse
Who develops apolo-flow?: apolo-flow is developed by Neuro Inc.
How long has apolo-flow been around?: apolo-flow first shipped in 2020.

At a glance

Platforms: Cli
Languages: English
Open source: Yes · ★ 17
License: Apache 2
First seen: 22 Jul 2026
Built for: data scientists
Model: Open source
Solves: Defining, managing, and executing complex ML pipelines within the Apolo MLOps platform.

Registered as

GitHub: neuro-inc/neuro-flow
PyPI: apolo-flow

Developer

Neuro Inc.

Team

GitHub

Open source

View on GitHub

Stars: 17
Forks: 4
Open issues: 35
Last commit: 22 Jul 2026
Commits 90d: 16
Contributors: 19
Authorship: Team
Default branch: master
Latest release: v24.8.0 · 10 Aug 2024

Live coverage

Identity confidence: Low · 64
Indexed: 22 Jul 2026
Lifecycle: Alive
First seen: Jul 2026
Last seen: 22 Jul 2026

Identity audit (13)

Slug: apolo-flow-pypi-org
Lifecycle state recorded: 22 Jul 2026
Verification state: Indexed for public listing
Listing state: Listed: yes
Index status: Included in index
Latest evidence snapshot: 22 Jul 2026
Timeline basis: Indexed-at chronology (no inferred launch/funding milestones).
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.
Last updated: 22 Jul 2026
Canonical URL: https://pypi.org/project/apolo-flow

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

Also in Developer Tools

Same category — not a similarity match