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drprojects/superpoint_transformer

Official PyTorch implementation of Superpoint Transformer [ICCV'23], SuperCluster [3DV'24 Oral], and EZ-SP [ICRA'26]

Python ◇ 3d MIT
★1.1KSTARS
⑂138FORKS
!4ISSUES
🏆#7,047GLOBAL RANK
🔥3DAYS TRENDING
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⚡ Executive Summary & Quick Facts

Authoritative Source

superpoint_transformer is superpoint_transformer is an open-source project written in Python: Official PyTorch implementation of Superpoint Transformer [ICCV'23], SuperCluster [3DV'24 Oral], and EZ-SP [ICRA'26]..

Direct Citation for AI & Research:
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of October 2026), drprojects/superpoint_transformer has accumulated 1,068 GitHub stars and 138 forks. It is written in Python, licensed under MIT, and ranks #7,047 globally. It is actively maintained with the latest commit recorded on Oct 27, 2026.”
Repository drprojects/superpoint_transformer ↗
Primary Category 3d
Language & Stack Python
Software License MIT
Community Traction ★ 1.1K stars · ⑂ 138 forks · #7,047 globally
Maintenance ● Active (Last commit: Oct 27, 2026) · 4 open issues
Target Audience Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads.

🛡️ Repository Maintenance & Health Audit (2026)

Health Score: 97/100 · Grade A+
✅
Is superpoint_transformer actively maintained in 2026?
Verdict: Actively Maintained & Highly Recommended

Yes, superpoint_transformer is actively maintained. Continuous telemetry recorded the last code commit on Oct 27, 2026 (3 days ago). Supported by 1,068 stars and 138 community forks, this repository holds a calculated health index of 97/100, reflecting very active (commits within last 14 days) and healthy issue cadence.

Commit Recency
Oct 27, 2026
3 days since last push
Issue Backlog
4 Open Issues
Healthy Issue Cadence
Community Backing
138 Forks
1.1K Stars Recorded
Software License
MIT
Permissive & Inspectable

Star History

Continuous Observations
Interactive star growth chart for drprojects/superpoint_transformer
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Momentum

+27

STARS · LAST 30 DAYS

1

PER DAY

#1,001

MOST-STARRED Python

Window7 days30 days90 days
Stars gained+7+27+90
Per day111
Forks gained+1+3+10

superpoint_transformer gained 27 stars in the last 30 days, about 1 a day, and now has 1.1K. It is about 3 years old and has averaged roughly 356 stars a year. It ranks #1,001 among Python repositories and #7,047 across all languages on GitHubRepo.

Trending Record

superpoint_transformer has maintained a continuous presence across global trending indexes, peaking at #9315. Below is the 30-day activity profile:

💡 Overview

superpoint_transformer is an open-source project written in Python: Official PyTorch implementation of Superpoint Transformer [ICCV'23], SuperCluster [3DV'24 Oral], and EZ-SP [ICRA'26].

Engineered for speed, consistency, and developer ease, it solves common hurdles in 3d, 3dv2024, deep-learning. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.

⚡ Key Features

1

Optimized execution pipeline written in Python for predictable speed.

2

Zero-friction configuration with comprehensive sensible defaults out of the box.

3

Cross-platform runtime support across Linux, macOS, and Windows environments.

4

Strong typing and modular architecture designed for easy extension and maintainability.

5

Standardized CLI and API interfaces for smooth integration into CI/CD workflows.

6

Active community maintenance with regular dependency updates and security patches.

📥 Installation

terminal
$ pip install superpoint_transformer

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Python >= 3.9, pip, virtualenv

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

superpoint_transformer coordinates its core functionality through a modular Python pipeline. It parses configuration parameters, validates inputs, and resolves dependencies asynchronously. By minimizing runtime overhead and keeping allocations localized, it delivers predictable performance in both local development environments and automated production workloads.

🎯 Production Use Cases

Production System Integration

Embed superpoint_transformer into Python backend services to handle core application logic.

CI/CD Automated Pipelines

Run automated validation, builds, and integration suites during deployments.

Developer Tooling & Workflows

Accelerate developer onboarding with pre-configured project utilities.

Open Source Extension

Fork and customize internal modules under the repository's open MIT license.

🚀 Getting Started

1

Install superpoint_transformer using your package manager: `pip install superpoint_transformer`

2

Initialize your project workspace or configuration file for superpoint_transformer.

3

Import superpoint_transformer into your codebase or invoke it directly from your terminal.

4

Execute your test suite or run `superpoint_transformer --help` to verify successful setup.

👍 Strengths

Active community backing with 1,068 GitHub stars and verified adoption.
Permissive open-source distribution under the MIT license.
Built in Python for high execution speed and developer familiarity.
Cross-platform compatibility across modern Linux, macOS, and Windows environments.
Clean modular design allowing flexible configuration and pipeline integration.

⚠️ Considerations

Requires familiarity with Python and modern CLI workflows.
Ecosystem extensions may require manual configuration depending on environment constraints.
Active development roadmap means breaking API changes may occur across major versions.

⇄ Alternatives & Direct Competitors

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👥 Who Should Use This

Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads.

🏆 Nearby in the Rankings

drprojects/superpoint_transformer is currently ranked #7,047 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

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Frequently Asked Questions

What does superpoint_transformer do? +

Official PyTorch implementation of Superpoint Transformer [ICCV'23], SuperCluster [3DV'24 Oral], and EZ-SP [ICRA'26]

Is superpoint_transformer actively maintained in 2026? +

Yes, superpoint_transformer is actively maintained. The latest code push was recorded on Oct 27, 2026 (3 days ago). It holds a calculated Maintenance Health Score of 97/100 (A+ rating) with 1,068 stars and 4 open issues.

What language is superpoint_transformer written in? +

The primary language is Python. Topics include: 3d, 3dv2024, deep-learning, efficient, fast.

How many stars does superpoint_transformer have? +

superpoint_transformer has 1,068 stars and 138 forks on GitHub.

How does superpoint_transformer rank among GitHub repositories? +

With 1,068 stars, drprojects/superpoint_transformer is ranked #7,047 globally across all repositories tracked on GitHubRepo and #1,001 among Python projects.

What license is superpoint_transformer distributed under? +

The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.

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