fraunhoferportugal/tsfel
Time Series Feature Extraction Library (TSFEL): 60+ statistical, temporal, spectral and fractal features for time series classification, regression and signal processing in Python
⚡ Executive Summary & Quick Facts
Authoritative Sourcetsfel is tsfel is an open-source project written in Python: Time Series Feature Extraction Library (TSFEL): 60+ statistical, temporal, spectral and fractal features for time series classification, regression and signal processing in Python..
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), fraunhoferportugal/tsfel has accumulated 1,115 GitHub stars and 161 forks. It is written in Python, licensed under BSD-3-Clause, and ranks #8,089 globally. It is actively maintained with the latest commit recorded on Nov 12, 2026.”
| Repository | fraunhoferportugal/tsfel ↗ |
|---|---|
| Primary Category | audio |
| Language & Stack | Python |
| Software License | BSD-3-Clause |
| Community Traction | ★ 1.1K stars · ⑂ 161 forks · #8,089 globally |
| Maintenance | ● Active (Last commit: Nov 12, 2026) · 13 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: 97/100 · Grade A+Yes, tsfel is actively maintained. Continuous telemetry recorded the last code commit on Nov 12, 2026 (0 days ago). Supported by 1,115 stars and 161 community forks, this repository holds a calculated health index of 97/100, reflecting very active (commits within last 14 days) and healthy issue cadence.
Star History
Add Live Star History & Verified Badges to README.md
Keep your repository README looking professional and dynamic. As our continuous crawler records new stars, these official SVG badges update in real time with zero maintenance.
Renders your high-resolution star trajectory chart right inside your GitHub README or project docs.
[](https://githubrepo.cloud/repo/fraunhoferportugal/tsfel?utm_source=readme_chart)Compact badges for your README header. Real-time stars, velocity, health audit, and rank.
[](https://githubrepo.cloud/repo/fraunhoferportugal/tsfel?utm_source=readme_badge) [](https://githubrepo.cloud/repo/fraunhoferportugal/tsfel?utm_source=readme_badge) [](https://githubrepo.cloud/repo/fraunhoferportugal/tsfel?utm_source=readme_badge) [](https://githubrepo.cloud/repo/fraunhoferportugal/tsfel?utm_source=readme_badge) [](https://githubrepo.cloud/repo/fraunhoferportugal/tsfel?utm_source=readme_badge)Momentum
+28
STARS · LAST 30 DAYS
1
PER DAY
#1,177
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +7 | +28 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +1 | +3 | +10 |
tsfel gained 28 stars in the last 30 days, about 1 a day, and now has 1.1K. It is about 8 years old and has averaged roughly 139 stars a year. It ranks #1,177 among Python repositories and #8,089 across all languages on GitHubRepo.
Trending Record
1
DAYS ON TRENDING
#12745
BEST RANK
Nov 12, 2026
FIRST APPEARANCE
Active
STATUS TODAY
tsfel has maintained a continuous presence across global trending indexes, peaking at #12745. Below is the 30-day activity profile:
💡 Overview
tsfel is an open-source project written in Python: Time Series Feature Extraction Library (TSFEL): 60+ statistical, temporal, spectral and fractal features for time series classification, regression and signal processing in Python.
Engineered for speed, consistency, and developer ease, it solves common hurdles in audio, biosignal-processing, ecg. 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 tsfel⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Python >= 3.9, pip, virtualenv
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
tsfel 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 tsfel.
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 tsfel using your package manager: `pip install tsfel`
Initialize your project workspace or configuration file for tsfel.
Import tsfel into your codebase or invoke it directly from your terminal.
Execute your test suite or run `tsfel --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
fraunhoferportugal/tsfel is currently ranked #8,089 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #8,084 | idmillington/cyclone-physics | C++ | ★ 1.1K | Compare ↗ |
| #8,084 | ezylang/EvalEx | Java | ★ 1.1K | Compare ↗ |
| #8,084 | wavedrom/wavedrom.github.io | JavaScript | ★ 1.1K | Compare ↗ |
| #8,084 | sirWest/AudioSwitch | C# | ★ 1.1K | Compare ↗ |
| #8,084 | rednblkx/HomeKey-ESP32 | C++ | ★ 1.1K | Compare ↗ |
| #8,089 | fraunhoferportugal/tsfel This Project | Python | ★ 1.1K | |
| #8,089 | karlomikus/bar-assistant | PHP | ★ 1.1K | Compare ↗ |
| #8,089 | manycoretech/aholo-viewer | C++ | ★ 1.1K | Compare ↗ |
| #8,092 | GafferHQ/gaffer | Python | ★ 1.1K | Compare ↗ |
| #8,092 | Kieirra/murmure | TypeScript | ★ 1.1K | Compare ↗ |
| #8,092 | AHEKOT/ComfyUI_VNCCS_Utils | JavaScript | ★ 1.1K | Compare ↗ |
Frequently Asked Questions
What does tsfel do? +
Time Series Feature Extraction Library (TSFEL): 60+ statistical, temporal, spectral and fractal features for time series classification, regression and signal processing in Python
Is tsfel actively maintained in 2026? +
Yes, tsfel is actively maintained. The latest code push was recorded on Nov 12, 2026 (0 days ago). It holds a calculated Maintenance Health Score of 97/100 (A+ rating) with 1,115 stars and 13 open issues.
What language is tsfel written in? +
The primary language is Python. Topics include: audio, biosignal-processing, ecg, eeg, emg.
How many stars does tsfel have? +
tsfel has 1,115 stars and 161 forks on GitHub.
How does tsfel rank among GitHub repositories? +
With 1,115 stars, fraunhoferportugal/tsfel is ranked #8,089 globally across all repositories tracked on GitHubRepo and #1,177 among Python projects.
What license is tsfel distributed under? +
The repository reports a BSD-3-Clause license. Always verify the repository LICENSE file for legal terms.
