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scverse/scanpy

Single-cell analysis in Python. Scales to >100M cells.

Python ◇ anndata BSD-3-Clause

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★2.6KSTARS

⑂781FORKS

!537ISSUES

🏆#1,639GLOBAL RANK

🔥2DAYS TRENDING

🚀

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Star History

Continuous Observations

Interactive star growth chart for scverse/scanpy

Momentum

+64

STARS · LAST 30 DAYS

PER DAY

#229

MOST-STARRED Python

Window	7 days	30 days	90 days
Stars gained	+14	+64	+180
Per day	2	2	2
Forks gained	+4	+16	+39

scanpy gained 64 stars in the last 30 days, about 2 a day, and now has 2.6K. It is about 10 years old and has averaged roughly 257 stars a year. It ranks #229 among Python repositories and #1,639 across all languages on GitHubRepo.

Trending Record

scanpy has maintained a continuous presence across global trending indexes, peaking at #1871. Below is the 30-day activity profile:

💡 Overview

scanpy is an open-source project written in Python: Single-cell analysis in Python. Scales to >100M cells.

Engineered for speed, consistency, and developer ease, it solves common hurdles in anndata, bioinformatics, data-science. 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

terminal

$ pip install scanpy

$ pip install scanpy # or: brew install scanpy

> pip install scanpy

⚙ System Requirements

Platforms

• macOS
• Linux
• Windows

Runtime & Dependencies

Python >= 3.9, pip, virtualenv

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

scanpy 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 scanpy 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

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

Initialize your project workspace or configuration file for scanpy.

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

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

👍 Strengths

Active community backing with 2,574 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.

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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

scverse/scanpy is currently ranked #1,639 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

Rank	Repository	Language	Stars	Action
#1,634	beancount/fava	Python	★ 2.6K	Compare ↗
#1,635	Cleanuparr/Cleanuparr	C#	★ 2.6K	Compare ↗
#1,635	newliver666/apk-reverse	Python	★ 2.6K	Compare ↗
#1,637	git-cola/git-cola	Python	★ 2.6K	Compare ↗
#1,638	superhighfives/pika	Swift	★ 2.6K	Compare ↗
#1,639	scverse/scanpy This Project	Python	★ 2.6K
#1,640	jarrodwatts/jev-trader	TypeScript	★ 2.6K	Compare ↗
#1,641	Azure/azure-sdk-for-java	Java	★ 2.6K	Compare ↗
#1,642	google/jimfs	Java	★ 2.6K	Compare ↗
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Frequently Asked Questions

What does scanpy do? +

Single-cell analysis in Python. Scales to >100M cells.

What language is scanpy written in? +

The primary language is Python. Topics include: anndata, bioinformatics, data-science, machine-learning, python.

Is scanpy actively maintained? +

Yes, the last recorded push was on Sep 27, 2026 with 537 open issues being tracked.

How many stars does scanpy have? +

scanpy has 2,574 stars and 781 forks on GitHub.

How does scanpy rank among GitHub repositories? +

With 2,574 stars, scverse/scanpy is ranked #1,639 globally across all repositories tracked on GitHubRepo and #229 among Python projects.

What license is scanpy distributed under? +

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

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LinkedIn

Why scanpy is replacing paid subscriptions for engineering teams

Stop paying $50+/month for locked SaaS tools.

Over 2,574 developers have starred scverse/scanpy, an impressive Python open-source project designed to Single-cell analysis in Python. Scales to >100M cells.

Key Engineering Advantages:
• 100% Local-First: Complete data privacy with zero tracking or telemetry.
• Zero Subscription Costs: No paywalls, per-seat fees, or API markups.
• Complete Customization: Native open-source architecture you can fork, inspect, and deploy anywhere.
• Proven Adoption: 2,574 GitHub stars and 781 forks.

If you're looking to streamline your engineering workflows without ballooning software expenses, this is worth checking out.

👉 Full star velocity and architectural report: https://githubrepo.cloud/repo/scverse/scanpy
⭐ GitHub Repository: https://github.com/scverse/scanpy

#OpenSource #SoftwareEngineering #DeveloperTools #Tech #Programming #Python

🤖

Reddit (r/opensource, r/webdev, r/selfhosted)

Show r/opensource: scanpy – A free, self-hosted tool that lets you Single-cell analysis in Python. Scales to >100M cells

Hey everyone,

I wanted to share an interesting open-source project called **scanpy** (https://github.com/scverse/scanpy) that has been picking up heavy momentum lately (2,574 stars).

### What problem does it solve?
Many existing tools in this domain require expensive cloud plans or store your data on third-party servers. scanpy was built with a local-first philosophy, allowing developers to Single-cell analysis in Python. Scales to >100M cells without recurring subscription costs or privacy compromises.

### Tech Stack & Details:
- **Language:** Python
- **License:** BSD-3-Clause
- **GitHub:** [scverse/scanpy](https://github.com/scverse/scanpy)
- **Live Star Momentum Tracker:** [https://githubrepo.cloud/repo/scverse/scanpy](https://githubrepo.cloud/repo/scverse/scanpy)

Has anyone here tested this in production or integrated it into existing pipelines? Would love to hear your experience and feedback!

🟧

Hacker News (Show HN)

Show HN: scanpy – Single-cell analysis in Python. Scales to >100M cells

Hi HN,

scanpy is an open-source Python project designed to Single-cell analysis in Python. Scales to >100M cells.

Rather than relying on closed cloud endpoints, it executes locally on your own machine, providing predictable latency, total privacy, and full control.

Repository: https://github.com/scverse/scanpy
Documentation & Metrics: https://githubrepo.cloud/repo/scverse/scanpy

Feedback and PRs are welcome.

✍️

Dev.to / Hashnode Tags: opensource, python, devtools, webdev

This GitHub repo replaces a $50 a month tool! Stop paying expensive software subscriptions. Meet scanpy (2,574 GitHub Stars)

---
title: This GitHub repo replaces a $50 a month tool! Stop paying expensive software subscriptions. Meet scanpy
published: true
tags: opensource, python, devtools, programming
---

## Stop Paying Software Subscriptions For This

Finding high-quality, production-ready open source alternatives to expensive proprietary software can save engineering teams thousands of dollars every year.

Today, we're looking at **[scverse/scanpy](https://github.com/scverse/scanpy)**, a rapidly rising repository with **2,574 GitHub stars** and **781 forks**.

### What is scanpy?

> Single-cell analysis in Python. Scales to >100M cells

Written in **Python**, scanpy runs directly on your local workstation or private server, keeping your data secure and eliminating recurring license fees.

### Key Highlights
- **High Performance:** Lightweight, reliable, and built in Python.
- **Privacy & Security:** Complete ownership of your environment and data.
- **Growing Momentum:** Ranked **#1,639** globally across tracked repositories on [GitHubRepo](https://githubrepo.cloud/repo/scverse/scanpy).

### Quick Start
To get started locally:

```bash
git clone https://github.com/scverse/scanpy.git
cd scanpy
```

Check out the full repository and star history analytics here:
- **GitHub:** [scverse/scanpy](https://github.com/scverse/scanpy)
- **Star Velocity Tracker:** [scanpy on GitHubRepo.cloud](https://githubrepo.cloud/repo/scverse/scanpy)

𝕏

X / Twitter Communities

Thread / Community Post for scanpy

Developers are sleeping on this GitHub repo 👇

scverse/scanpy (2,574 ⭐) replaces expensive monthly software subscriptions with 100% free open source code.

⚡ What it does: Single-cell analysis in Python. Scales to >100M cells
💻 Built with: Python
🔒 100% local execution & privacy

Check live star velocity and benchmarks:
https://githubrepo.cloud/repo/scverse/scanpy

#opensource #developer #coding #tech #programming

🧵

Threads Topics

Topic Discussion: Open Source & Developer Tools

This GitHub repo replaces a $50/month tool! 🚀

If you want to save hours of manual work and stop paying subscriptions, check out scverse/scanpy.

It already has over 2,574 stars and lets you Single-cell analysis in Python. Scales to >100M cells.

Drop a comment if you've tried it, or check the full star momentum report:
https://githubrepo.cloud/repo/scverse/scanpy

From our network

scverse/scanpy

Star History

Momentum

Trending Record

💡 Overview

⚡ Key Features

📥 Installation

⚙ System Requirements

Platforms

Runtime & Dependencies

Architecture

🧠 How It Works

🎯 Production Use Cases

Production System Integration

CI/CD Automated Pipelines

Developer Tooling & Workflows

Open Source Extension

🚀 Getting Started

👍 Strengths

⚠️ Considerations

⇄ Alternatives & Direct Competitors

👥 Who Should Use This

🏆 Nearby in the Rankings

Frequently Asked Questions

Claim this repository

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