TE-dependent analysis of multi-echo fMRI
⚡ Executive Summary & Quick Facts
Authoritative Sourcetedana is tedana is an open-source project written in Python: TE-dependent analysis of multi-echo fMRI..
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), ME-ICA/tedana has accumulated 191 GitHub stars and 105 forks. It is written in Python, licensed under LGPL-2.1, and ranks #19,992 globally. It is actively maintained with the latest commit recorded on Oct 7, 2026.”
| Repository | ME-ICA/tedana ↗ |
|---|---|
| Primary Category | brain imaging |
| Language & Stack | Python |
| Software License | LGPL-2.1 |
| Community Traction | ★ 191 stars · ⑂ 105 forks · #19,992 globally |
| Maintenance | ● Active (Last commit: Oct 7, 2026) · 97 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 AYes, tedana is actively maintained. Continuous telemetry recorded the last code commit on Oct 7, 2026 (37 days ago). Supported by 191 stars and 105 community forks, this repository holds a calculated health index of 88/100, reflecting regular maintenance (37 days ago) and healthy issue cadence.
Star History
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Momentum
+0
STARS · LAST 30 DAYS
1
PER DAY
#2,674
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +0 | +0 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +0 | +0 | +10 |
tedana gained 0 stars in the last 30 days, about 1 a day, and now has 191. It is about 9 years old and has averaged roughly 21 stars a year. It ranks #2,674 among Python repositories and #19,992 across all languages on GitHubRepo.
Trending Record
34
DAYS ON TRENDING
#10179
BEST RANK
Oct 7, 2026
FIRST APPEARANCE
Active
STATUS TODAY
tedana has maintained a continuous presence across global trending indexes, peaking at #10179. Below is the 30-day activity profile:
💡 Overview
tedana is an open-source project written in Python: TE-dependent analysis of multi-echo fMRI.
Engineered for speed, consistency, and developer ease, it solves common hurdles in brain-imaging, fmri, neuroimaging. 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 tedana
⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Python >= 3.9, pip, virtualenv
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
tedana 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
Autonomous AI Agents
Orchestrate intelligent workflows and tool-calling routines with tedana.
Model Inference & Prompting
Integrate fast, local or cloud-hosted generative AI models directly into production code.
Context Memory & RAG
Augment language models with dynamic vector retrieval and structured project memory.
Developer Productivity
Automate repetitive engineering tasks, code generation, and test creation using AI agents.
🚀 Getting Started
Install tedana using your package manager: `pip install tedana`
Initialize your project workspace or configuration file for tedana.
Import tedana into your codebase or invoke it directly from your terminal.
Execute your test suite or run `tedana --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
ME-ICA/tedana is currently ranked #19,992 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #19,945 | deepentropy/ibx | Rust | ★ 192 | Compare ↗ |
| #19,945 | antongulin/opencode-skill-creator | TypeScript | ★ 192 | Compare ↗ |
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| #19,945 | skillmds/skillmd | JavaScript | ★ 192 | Compare ↗ |
| #19,945 | phforner0/Xendroid-Plus | C++ | ★ 192 | Compare ↗ |
| #19,992 | ME-ICA/tedana This Project | Python | ★ 191 | |
| #19,992 | evan/bleak_house | Ruby | ★ 191 | Compare ↗ |
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Frequently Asked Questions
What does tedana do? +
TE-dependent analysis of multi-echo fMRI
Is tedana actively maintained in 2026? +
Yes, tedana is actively maintained. The latest code push was recorded on Oct 7, 2026 (37 days ago). It holds a calculated Maintenance Health Score of 88/100 (A rating) with 191 stars and 97 open issues.
What language is tedana written in? +
The primary language is Python. Topics include: brain-imaging, fmri, neuroimaging, python.
How many stars does tedana have? +
tedana has 191 stars and 105 forks on GitHub.
How does tedana rank among GitHub repositories? +
With 191 stars, ME-ICA/tedana is ranked #19,992 globally across all repositories tracked on GitHubRepo and #2,674 among Python projects.
What license is tedana distributed under? +
The repository reports a LGPL-2.1 license. Always verify the repository LICENSE file for legal terms.