Built something? We create video reels & spotlights for GitHub projects.Promote your project →
mne-tools
Home / Python / mne-python

mne-tools/mne-python

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

Python ◇ ecog BSD-3-Clause
★3.5KSTARS
⑂1.6KFORKS
!617ISSUES
🏆#1,483GLOBAL RANK
🔥5DAYS TRENDING
🚀
Maintainer Growth Kit for mne-python

Claim this project, add your verified backlink badge to your README, and download milestone cards.

Claim Repo

Star History

Continuous Observations
Interactive star growth chart for mne-tools/mne-python
CSV

Momentum

+88

STARS · LAST 30 DAYS

3

PER DAY

#222

MOST-STARRED Python

Window7 days30 days90 days
Stars gained+21+88+270
Per day333
Forks gained+8+32+80

mne-python gained 88 stars in the last 30 days, about 3 a day, and now has 3.5K. It is about 16 years old and has averaged roughly 221 stars a year. It ranks #222 among Python repositories and #1,483 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

P
public-apis/public-apis ★ 483.8K Python

A collective list of free APIs

Compare ↗
F

:books: Freely available programming books

Compare ↗
P

Curated list of project-based tutorials

Compare ↗
H
NousResearch/hermes-agent ★ 249.8K Python

The agent that grows with you

Compare ↗

👥 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 #1,483 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#1,477 NVIDIA/TransformerEngine Python ★ 3.6K Compare ↗
#1,479 okteto/okteto Go ★ 3.5K Compare ↗
#1,480 unitycatalog/unitycatalog Java ★ 3.5K Compare ↗
#1,481 neo-project/neo C# ★ 3.5K Compare ↗
#1,482 fasiondog/hikyuu C++ ★ 3.5K Compare ↗
#1,483 mne-tools/mne-python This Project Python ★ 3.5K
#1,484 danog/MadelineProto PHP ★ 3.5K Compare ↗
#1,484 Farama-Foundation/PettingZoo Python ★ 3.5K Compare ↗
#1,486 kubernetes/sample-controller Go ★ 3.5K Compare ↗
#1,487 HeapsIO/heaps Haxe ★ 3.5K Compare ↗
#1,488 skyhook-io/radar Go ★ 3.5K Compare ↗

Frequently Asked Questions

What does mne-python do? +

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

What language is mne-python written in? +

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

Is mne-python actively maintained? +

Yes, the last recorded push was on Sep 26, 2026 with 617 open issues being tracked.

How many stars does mne-python have? +

mne-python has 3,528 stars and 1,599 forks on GitHub.

How does mne-python rank among GitHub repositories? +

With 3,528 stars, mne-tools/mne-python is ranked #1,483 globally across all repositories tracked on GitHubRepo and #222 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.

From our network
FOR MAINTAINERS

Built something? Put it in front of millions of developers.

We make a short reel about your project and post it across YouTube, Instagram, Threads, and X. Send a link, we do the rest.