Who is deepen-grade for?

deepen-grade is an open-source project built for robotics developers.

Does deepen-grade have a free plan?

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

What platforms does deepen-grade run on?

deepen-grade runs on the command line.

Is deepen-grade still active?

The GitHub repository shows 7 commits in the last 90 days.

What projects are similar to deepen-grade?

Similar projects tracked by PulseGate include EfficiencyNext Data Connector, System Information Widgets, and CKB.

Who develops deepen-grade?

deepen-grade is developed by mmusa.

When did deepen-grade launch?

deepen-grade first shipped in 2026.

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deepen-grade

Name: deepen-grade
Author: mmusa

PyPIInfrastructure

deepen-grade is a free, local command-line tool that automatically grades robot-learning datasets stored in MCAP, rosbag, or LeRobot formats. It assesses hygiene, episode quality, and calibration sanity, with every metric explicitly linked to a named research paper. Designed for robotics and imitation-learning practitioners who need reproducible data-quality evaluation.

Open SourceApache-2.0CLI

Visit PyPI

2stars

5features

2026since

Overview

5 features

In the Developer Tools space, deepen-grade takes a focused approach. It focuses on evaluating the quality of robot learning datasets (MCAP, rosbag, LeRobot) for imitation learning and robotics research. deepen-grade is an open-source project aimed at robotics developers. deepen-grade is open source under the Apache-2.0 license. deepen-grade is available on the command line.

It is developed by mmusa, and it first shipped in 2026. The project is developed in the open on GitHub with 7 commits in the last 90 days. Among its 5 catalogued features are dataset grading, hygiene metrics, and episode quality.

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

Dataset grading
Hygiene metrics
Episode quality
Calibration sanity
Paper-traced metrics

Built with & integrations

AI providers

local_oss

Runs on

CLI

Trust & compliance

License

Apache-2.0

Verified signals

HTTPSOpen SourceFree tierGitHub · ★ 2Active maintenance

Indexing history

What PulseGate has recorded for this listing

Indexed21 Jul · 21:24 UTC
deepen-grade verified against its public source
Source: PulseGate · Open

Frequently asked questions about deepen-grade

What is deepen-grade?: Deepen-grade focuses on evaluating the quality of robot learning datasets (MCAP, rosbag, LeRobot) for imitation learning and robotics research. It is catalogued under Developer Tools on PulseGate.
Who is deepen-grade for?: deepen-grade is an open-source project built for robotics developers.
Does deepen-grade have a free plan?: Yes — deepen-grade is open source under the Apache-2.0 license and free to use.
What platforms does deepen-grade run on?: deepen-grade runs on the command line.
Is deepen-grade still active?: The GitHub repository shows 7 commits in the last 90 days.
What projects are similar to deepen-grade?: Similar projects tracked by PulseGate include EfficiencyNext Data Connector, System Information Widgets, and CKB.EfficiencyNext Data Connector System Information Widgets CKB
Who develops deepen-grade?: deepen-grade is developed by mmusa.
When did deepen-grade launch?: deepen-grade first shipped in 2026.

At a glance

Platforms: Cli
Languages: English
Open source: Yes · ★ 2
License: Apache-2.0
First seen: 21 Jul 2026
Built for: robotics developers
Model: Open source
Solves: Evaluating the quality of robot learning datasets (MCAP, rosbag, LeRobot) for imitation learning and robotics research.

Registered as

GitHub: mmusa/deepen-grade
PyPI: deepen-grade

Developer

mmusa

Solo developer

GitHub

Open source

View on GitHub

Stars: 2
Forks: 0
Open issues: 0
Last commit: 21 Jul 2026
Commits 90d: 7
Contributors: 1
Authorship: Solo
Default branch: main

Live coverage

Identity confidence: Low · 64
Indexed: 21 Jul 2026
Lifecycle: Alive
First seen: Jul 2026
Last seen: 21 Jul 2026

Identity audit (13)

Slug: deepen-grade-pypi-org
Lifecycle state recorded: 21 Jul 2026
Verification state: Indexed for public listing
Listing state: Listed: yes
Index status: Included in index
Latest evidence snapshot: 21 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: 21 Jul 2026
Canonical URL: https://pypi.org/project/deepen-grade

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