Star History
Momentum
+88
STARS · LAST 30 DAYS
3
PER DAY
#222
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +21 | +88 | +270 |
| Per day | 3 | 3 | 3 |
| 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
5
DAYS ON TRENDING
#1123
BEST RANK
Sep 25, 2026
FIRST APPEARANCE
Active
STATUS TODAY
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
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 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
Install mne-python using your package manager: `pip install mne-python`
Initialize your project workspace or configuration file for mne-python.
Import mne-python into your codebase or invoke it directly from your terminal.
Execute your test suite or run `mne-python --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
mne-tools/mne-python is currently ranked #1,483 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #1,477 | NVIDIA/TransformerEngine | Python | ★ 3.6K | Compare ↗ |
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| #1,482 | fasiondog/hikyuu | C++ | ★ 3.5K | Compare ↗ |
| #1,483 | mne-tools/mne-python This Project | Python | ★ 3.5K | |
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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.