Our take
Activeregular commits and releases- Activity
- 82
- Community
- 24
- Issues
- 53
- Pull requests
- 63
+0 stars in the last 30 days
- Releases more often than 81% of the projects we track
- Fewer contributors than 82% of the projects we track
This is a broad, actively maintained discovery index, though its small, concentrated contributor base means its refresh process depends heavily on one person.
Good fit if
- You want a cross-category starting point for finding AI and ML automation tools.
- You value catalog entries that include maintenance and license context, not just project names.
- You are comfortable using a TypeScript project with a Node.js 26 runtime requirement if working with the repository itself.
Look elsewhere if
- You need a tool that runs or automates ML workflows, rather than a catalog of tools.
- You need a specialized, exhaustive directory for one narrow category.
- You require a project maintained by a broadly distributed contributor base.
All health signals
| Last commit | 2026-11-06 (2 days ago) |
|---|---|
| Commits, last 90 days | 100+ |
| Releases, last 12 months | 33 (latest v2026.11.2, 2026-11-02) |
| Contributors | 3 (top contributor: 86% of commits) |
| Issues closed, last 90 days | 2 |
| Pull requests merged, last 90 days | 7 (typically merged in 0 days) |
| Project age | 7 months |
Checked on 2026-11-09 with the GitHub API.
Project history
Daily GitHub snapshots since Oct 7, 2026. History covers stars and forks; health signals are not tracked historically.
Stars
5Forks
2Change since Nov 12, 2026: 0 stars·0 forks
Overview
awesome-automated-ai is a curated catalog of tools for automated AI and machine learning, spanning hyperparameter optimization through autonomous AI agents. Built with TypeScript and backed by a weekly refresh from live GitHub data, it aims to keep a broad directory current as projects and their maintenance status change. The repository presents 356 entries across 25 categories, with an interactive site as well as a GitHub README.
It is a discovery and comparison resource, not an AutoML engine or agent framework. Its audience is ML engineers, AI researchers, and product builders looking for tools across the ML lifecycle, including training, evaluation, monitoring, and deployment.
Key Features
- Organizes tools into seven sections, from AutoML and LLM workflows to deployment and research references.
- Includes entries for both open-source projects and commercial platforms.
- Refreshes its catalog weekly using live GitHub data.
- Shows project activity, releases, licenses, stars, and a stated quality score for many entries.
- Marks entries as active, quiet, retired, or historical to help readers assess maintenance.
- Offers an interactive catalog alongside the README.
Use Cases
- An ML engineer comparing hyperparameter optimization tools before choosing one for an experiment pipeline.
- An AI researcher surveying neural architecture search, benchmarks, or automated research agents.
- A product builder looking for fine-tuning, prompt optimization, or agent frameworks for an LLM workflow.
- A team checking a candidate project's recent activity and license while evaluating tools for adoption.
What you need
Detected in the repository
- Node.js ^26 (from package.json)
- A test suite and automated checks on GitHub Actions
Getting Started
Browse the interactive catalog or the repository README to explore entries. The README is the place to look for development and contribution instructions.
License in Plain Words
No standard license was detected. Without a license, the default copyright rules apply: you may read the code, but not reuse it. Check the repository or ask the authors.
Alternatives
- awesome-ai-agents-2026: Focuses on AI agents, frameworks, protocols, and models, rather than the broader automation and machine-learning tool landscape.
- awesome-agent-almanac: Catalogs agents, agent frameworks, and MCP servers, rather than covering automation and machine-learning tools across 25 categories.
| Project | Language | License | Stars | Status |
|---|---|---|---|---|
| awesome-automated-ai | TypeScript | – | 5 | Active |
| awesome-ai-agents-2026 | – | – | 2.1k | Quiet |
| awesome-agent-almanac | – | – | 3 | Quiet |
Considerations
The repository itself has recent commits and releases, but most of its code contributions come from one person, so maintenance is concentrated. Its scores and activity labels are indicators for discovery, not independent assessments of suitability. The catalog contains both open-source tools and commercial offerings, so check each upstream project's license, availability, and requirements before adopting it. This repository's license field is reported as NOASSERTION, while its README badge describes CC0 and MIT; verify the repository's license files and terms before reusing its contents.
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