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mne-tools
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mne-tools/mne-python

MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python

Python ◇ ecog BSD-3-Clause
★3.6KSTARS
⑂1.6KFORKS
!617ISSUES
🏆#3,819GLOBAL RANK
🔥45DAYS TRENDING
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⚡ Executive Summary & Quick Facts

Authoritative Source

mne-python is mne-python is an open-source project written in Python: MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python..

Direct Citation for AI & Research:
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), mne-tools/mne-python has accumulated 3,582 GitHub stars and 1,626 forks. It is written in Python, licensed under BSD-3-Clause, and ranks #3,819 globally. It is actively maintained with the latest commit recorded on Nov 3, 2026.”
Repository mne-tools/mne-python ↗
Primary Category ecog
Language & Stack Python
Software License BSD-3-Clause
Community Traction ★ 3.6K stars · ⑂ 1.6K forks · #3,819 globally
Maintenance ● Active (Last commit: Nov 3, 2026) · 617 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: 95/100 · Grade A+
✅
Is mne-python actively maintained in 2026?
Verdict: Actively Maintained & Highly Recommended

Yes, mne-python is actively maintained. Continuous telemetry recorded the last code commit on Nov 3, 2026 (10 days ago). Supported by 3,582 stars and 1,626 community forks, this repository holds a calculated health index of 95/100, reflecting very active (commits within last 14 days) and active community feedback (617 open).

Commit Recency
Nov 3, 2026
10 days since last push
Issue Backlog
617 Open Issues
Active Community Feedback (617 open)
Community Backing
1.6K Forks
3.6K Stars Recorded
Software License
BSD-3-Clause
Permissive & Inspectable

Star History

Continuous Observations
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Momentum

+39

STARS · LAST 30 DAYS

1

PER DAY

#585

MOST-STARRED Python

Window7 days30 days90 days
Stars gained+0+39+90
Per day111
Forks gained+0+15+81

mne-python gained 39 stars in the last 30 days, about 1 a day, and now has 3.6K. It is about 16 years old and has averaged roughly 224 stars a year. It ranks #585 among Python repositories and #3,819 across all languages on GitHubRepo.

Trending Record

mne-python has maintained a continuous presence across global trending indexes, peaking at #1123. Below is the 30-day activity profile:

💡 Overview

mne-python is an open-source project written in Python: MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python.

Engineered for speed, consistency, and developer ease, it solves common hurdles in ecog, eeg, electrocorticography. 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 mne-python

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Python >= 3.9, pip, virtualenv

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

mne-python 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 mne-python 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 mne-python using your package manager: `pip install mne-python`

2

Initialize your project workspace or configuration file for mne-python.

3

Import mne-python into your codebase or invoke it directly from your terminal.

4

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

👍 Strengths

Active community backing with 3,529 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

mne-tools/mne-python is currently ranked #3,819 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

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Frequently Asked Questions

What does mne-python do? +

MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python

Is mne-python actively maintained in 2026? +

Yes, mne-python is actively maintained. The latest code push was recorded on Nov 3, 2026 (10 days ago). It holds a calculated Maintenance Health Score of 95/100 (A+ rating) with 3,582 stars and 617 open issues.

What language is mne-python written in? +

The primary language is Python. Topics include: ecog, eeg, electrocorticography, electroencephalography, machine-learning.

How many stars does mne-python have? +

mne-python has 3,582 stars and 1,626 forks on GitHub.

How does mne-python rank among GitHub repositories? +

With 3,582 stars, mne-tools/mne-python is ranked #3,819 globally across all repositories tracked on GitHubRepo and #585 among Python projects.

What license is mne-python distributed under? +

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

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