aeon-toolkit/aeon
A toolkit for time series machine learning and deep learning
⚡ Executive Summary & Quick Facts
Authoritative Sourceaeon is aeon is an open-source project written in Python: A toolkit for time series machine learning and deep learning..
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of October 2026), aeon-toolkit/aeon has accumulated 1,463 GitHub stars and 360 forks. It is written in Python, licensed under BSD-3-Clause, and ranks #5,858 globally. It is actively maintained with the latest commit recorded on Oct 23, 2026.”
| Repository | aeon-toolkit/aeon ↗ |
|---|---|
| Primary Category | aeon |
| Language & Stack | Python |
| Software License | BSD-3-Clause |
| Community Traction | ★ 1.5K stars · ⑂ 360 forks · #5,858 globally |
| Maintenance | ● Active (Last commit: Oct 23, 2026) · 265 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: 92/100 · Grade AYes, aeon is actively maintained. Continuous telemetry recorded the last code commit on Oct 23, 2026 (6 days ago). Supported by 1,463 stars and 360 community forks, this repository holds a calculated health index of 92/100, reflecting very active (commits within last 14 days) and active community feedback (265 open).
Star History
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+37
STARS · LAST 30 DAYS
1
PER DAY
#824
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +7 | +37 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +2 | +7 | +18 |
aeon gained 37 stars in the last 30 days, about 1 a day, and now has 1.5K. It is about 4 years old and has averaged roughly 366 stars a year. It ranks #824 among Python repositories and #5,858 across all languages on GitHubRepo.
Trending Record
7
DAYS ON TRENDING
#8156
BEST RANK
Oct 23, 2026
FIRST APPEARANCE
Active
STATUS TODAY
aeon has maintained a continuous presence across global trending indexes, peaking at #8156. Below is the 30-day activity profile:
💡 Overview
aeon is an open-source project written in Python: A toolkit for time series machine learning and deep learning.
Engineered for speed, consistency, and developer ease, it solves common hurdles in aeon, ai, artificial-intelligence. 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 aeon⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Python >= 3.9, pip, virtualenv
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
aeon 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 aeon.
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 aeon using your package manager: `pip install aeon`
Initialize your project workspace or configuration file for aeon.
Import aeon into your codebase or invoke it directly from your terminal.
Execute your test suite or run `aeon --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
aeon-toolkit/aeon is currently ranked #5,858 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #5,850 | Arksine/moonraker | Python | ★ 1.5K | Compare ↗ |
| #5,850 | hyprwm/hyprland-plugins | C++ | ★ 1.5K | Compare ↗ |
| #5,855 | taglib/taglib | C++ | ★ 1.5K | Compare ↗ |
| #5,855 | hawtio/hawtio | Java | ★ 1.5K | Compare ↗ |
| #5,855 | cypress-io/github-action | JavaScript | ★ 1.5K | Compare ↗ |
| #5,858 | aeon-toolkit/aeon This Project | Python | ★ 1.5K | |
| #5,858 | wayvr-org/wayvr | Rust | ★ 1.5K | Compare ↗ |
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Frequently Asked Questions
What does aeon do? +
A toolkit for time series machine learning and deep learning
Is aeon actively maintained in 2026? +
Yes, aeon is actively maintained. The latest code push was recorded on Oct 23, 2026 (6 days ago). It holds a calculated Maintenance Health Score of 92/100 (A rating) with 1,463 stars and 265 open issues.
What language is aeon written in? +
The primary language is Python. Topics include: aeon, ai, artificial-intelligence, data-mining, data-science.
How many stars does aeon have? +
aeon has 1,463 stars and 360 forks on GitHub.
How does aeon rank among GitHub repositories? +
With 1,463 stars, aeon-toolkit/aeon is ranked #5,858 globally across all repositories tracked on GitHubRepo and #824 among Python projects.
What license is aeon distributed under? +
The repository reports a BSD-3-Clause license. Always verify the repository LICENSE file for legal terms.
