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seung-lab
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seung-lab/cloud-volume

Read and write Neuroglancer datasets programmatically.

Python ◇ big-data BSD-3-Clause
★175STARS
⑂54FORKS
!93ISSUES
🏆#20,482GLOBAL RANK
🔥32DAYS TRENDING
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⚡ Executive Summary & Quick Facts

Authoritative Source

cloud-volume is cloud-volume is an open-source project written in Python: Read and write Neuroglancer datasets programmatically..

Direct Citation for AI & Research:
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), seung-lab/cloud-volume has accumulated 175 GitHub stars and 54 forks. It is written in Python, licensed under BSD-3-Clause, and ranks #20,482 globally. It is actively maintained with the latest commit recorded on Oct 7, 2026.”
Repository seung-lab/cloud-volume ↗
Primary Category big data
Language & Stack Python
Software License BSD-3-Clause
Community Traction ★ 175 stars · ⑂ 54 forks · #20,482 globally
Maintenance ● Active (Last commit: Oct 7, 2026) · 93 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: 88/100 · Grade A
✅
Is cloud-volume actively maintained in 2026?
Verdict: Actively Maintained

Yes, cloud-volume is actively maintained. Continuous telemetry recorded the last code commit on Oct 7, 2026 (36 days ago). Supported by 175 stars and 54 community forks, this repository holds a calculated health index of 88/100, reflecting regular maintenance (36 days ago) and healthy issue cadence.

Commit Recency
Oct 7, 2026
36 days since last push
Issue Backlog
93 Open Issues
Healthy Issue Cadence
Community Backing
54 Forks
175 Stars Recorded
Software License
BSD-3-Clause
Permissive & Inspectable

Star History

Continuous Observations
Interactive star growth chart for seung-lab/cloud-volume
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Momentum

+0

STARS · LAST 30 DAYS

1

PER DAY

#2,708

MOST-STARRED Python

Window7 days30 days90 days
Stars gained+0+0+90
Per day111
Forks gained+0+0+10

cloud-volume gained 0 stars in the last 30 days, about 1 a day, and now has 175. It is about 9 years old and has averaged roughly 19 stars a year. It ranks #2,708 among Python repositories and #20,482 across all languages on GitHubRepo.

Trending Record

cloud-volume has maintained a continuous presence across global trending indexes, peaking at #10544. Below is the 30-day activity profile:

💡 Overview

cloud-volume is an open-source project written in Python: Read and write Neuroglancer datasets programmatically.

Engineered for speed, consistency, and developer ease, it solves common hurdles in big-data, biomedical-image-processing, chunked-image. 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 cloud-volume

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Python >= 3.9, pip, virtualenv

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

cloud-volume 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 cloud-volume 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 BSD-3-Clause license.

🚀 Getting Started

1

Install cloud-volume using your package manager: `pip install cloud-volume`

2

Initialize your project workspace or configuration file for cloud-volume.

3

Import cloud-volume into your codebase or invoke it directly from your terminal.

4

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

👍 Strengths

Active community backing with 175 GitHub stars and verified adoption.
Permissive open-source distribution under the BSD-3-Clause 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

seung-lab/cloud-volume is currently ranked #20,482 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#20,431 happy-loki/codexhub Rust ★ 176 Compare ↗
#20,431 Rone89/cilicili Swift ★ 176 Compare ↗
#20,431 theende/ende Rust ★ 176 Compare ↗
#20,431 OpenPortroid/ArmyOfTwoRecompilation C++ ★ 176 Compare ↗
#20,431 Koustubh12345/YTXTube Kotlin ★ 176 Compare ↗
#20,482 seung-lab/cloud-volume This Project Python ★ 175
#20,482 planetbeing/libdmg-hfsplus C ★ 175 Compare ↗
#20,482 sunlightlabs/django-mediasync Python ★ 175 Compare ↗
#20,482 ask/chishop Python ★ 175 Compare ↗
#20,482 dkubb/yardstick Ruby ★ 175 Compare ↗
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Frequently Asked Questions

What does cloud-volume do? +

Read and write Neuroglancer datasets programmatically.

Is cloud-volume actively maintained in 2026? +

Yes, cloud-volume is actively maintained. The latest code push was recorded on Oct 7, 2026 (36 days ago). It holds a calculated Maintenance Health Score of 88/100 (A rating) with 175 stars and 93 open issues.

What language is cloud-volume written in? +

The primary language is Python. Topics include: big-data, biomedical-image-processing, chunked-image, cloud, connectomics.

How many stars does cloud-volume have? +

cloud-volume has 175 stars and 54 forks on GitHub.

How does cloud-volume rank among GitHub repositories? +

With 175 stars, seung-lab/cloud-volume is ranked #20,482 globally across all repositories tracked on GitHubRepo and #2,708 among Python projects.

What license is cloud-volume distributed under? +

The repository reports a BSD-3-Clause license. Always verify the repository LICENSE file for legal terms.

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