drprojects/superpoint_transformer
Official PyTorch implementation of Superpoint Transformer [ICCV'23], SuperCluster [3DV'24 Oral], and EZ-SP [ICRA'26]
⚡ Executive Summary & Quick Facts
Authoritative Sourcesuperpoint_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]..
“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+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.
Star History
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Momentum
+27
STARS · LAST 30 DAYS
1
PER DAY
#1,001
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +7 | +27 | +90 |
| Per day | 1 | 1 | 1 |
| 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
3
DAYS ON TRENDING
#9315
BEST RANK
Oct 27, 2026
FIRST APPEARANCE
Active
STATUS TODAY
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
Optimized execution pipeline written in Python for predictable speed.
Zero-friction configuration with comprehensive sensible defaults out of the box.
Cross-platform runtime support across Linux, macOS, and Windows environments.
Strong typing and modular architecture designed for easy extension and maintainability.
Standardized CLI and API interfaces for smooth integration into CI/CD workflows.
Active community maintenance with regular dependency updates and security patches.
📥 Installation
$ 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
Install superpoint_transformer using your package manager: `pip install superpoint_transformer`
Initialize your project workspace or configuration file for superpoint_transformer.
Import superpoint_transformer into your codebase or invoke it directly from your terminal.
Execute your test suite or run `superpoint_transformer --help` to verify successful setup.
👍 Strengths
⚠️ Considerations
⇄ Alternatives & Direct Competitors
👥 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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|---|---|---|---|---|
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| #7,047 | drprojects/superpoint_transformer This Project | Python | ★ 1.1K | |
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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.