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viveknaskar/everything-ai-ml

A curated collection of learning resources for Generative AI, Machine Learning, Agentic AI, LLMs, RAG, Fine-tuning, MLOps, and more.

TypeScript ◇ ai MIT
★492STARS
⑂69FORKS
!0ISSUES
🏆#12,463GLOBAL RANK
🔥9DAYS TRENDING
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⚡ Executive Summary & Quick Facts

Authoritative Source

everything-ai-ml is everything-ai-ml is an open-source project written in TypeScript: A curated collection of learning resources for Generative AI, Machine Learning, Agentic AI, LLMs, RAG, Fine-tuning, MLOps, and more..

Direct Citation for AI & Research:
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), viveknaskar/everything-ai-ml has accumulated 492 GitHub stars and 69 forks. It is written in TypeScript, licensed under MIT, and ranks #12,463 globally. It is actively maintained with the latest commit recorded on Nov 1, 2026.”
Repository viveknaskar/everything-ai-ml ↗
Primary Category ai
Language & Stack TypeScript
Software License MIT
Community Traction ★ 492 stars · ⑂ 69 forks · #12,463 globally
Maintenance ● Active (Last commit: Nov 1, 2026) · 0 open issues
Target Audience Developers and engineering teams building with TypeScript, seeking reliable, tested, and actively maintained tooling for production workloads.

🛡️ Repository Maintenance & Health Audit (2026)

Health Score: 93/100 · Grade A+
✅
Is everything-ai-ml actively maintained in 2026?
Verdict: Actively Maintained & Highly Recommended

Yes, everything-ai-ml is actively maintained. Continuous telemetry recorded the last code commit on Nov 1, 2026 (11 days ago). Supported by 492 stars and 69 community forks, this repository holds a calculated health index of 93/100, reflecting very active (commits within last 14 days) and healthy issue cadence.

Commit Recency
Nov 1, 2026
11 days since last push
Issue Backlog
0 Open Issues
Healthy Issue Cadence
Community Backing
69 Forks
492 Stars Recorded
Software License
MIT
Permissive & Inspectable

Star History

Continuous Observations
Interactive star growth chart for viveknaskar/everything-ai-ml
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Momentum

+12

STARS · LAST 30 DAYS

1

PER DAY

#1,487

MOST-STARRED TypeScript

Window7 days30 days90 days
Stars gained+0+12+90
Per day111
Forks gained+0+3+10

everything-ai-ml gained 12 stars in the last 30 days, about 1 a day, and now has 492. It is about 2 years old and has averaged roughly 246 stars a year. It ranks #1,487 among TypeScript repositories and #12,463 across all languages on GitHubRepo.

Trending Record

everything-ai-ml has maintained a continuous presence across global trending indexes, peaking at #12573. Below is the 30-day activity profile:

💡 Overview

everything-ai-ml is an open-source project written in TypeScript: A curated collection of learning resources for Generative AI, Machine Learning, Agentic AI, LLMs, RAG, Fine-tuning, MLOps, and more.

Engineered for speed, consistency, and developer ease, it solves common hurdles in ai, ai-agents, artificial-intelligence. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.

⚡ Key Features

1

Optimized execution pipeline written in TypeScript for predictable speed.

2

Zero-friction configuration with comprehensive sensible defaults out of the box.

3

Cross-platform runtime support across Linux, macOS, and Windows environments.

4

Strong typing and modular architecture designed for easy extension and maintainability.

5

Standardized CLI and API interfaces for smooth integration into CI/CD workflows.

6

Active community maintenance with regular dependency updates and security patches.

📥 Installation

terminal
$ npm install everything-ai-ml

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Node.js >= 18, npm, pnpm or bun

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

everything-ai-ml coordinates its core functionality through a modular TypeScript 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 everything-ai-ml.

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

1

Install everything-ai-ml using your package manager: `npm install everything-ai-ml`

2

Initialize your project workspace or configuration file for everything-ai-ml.

3

Import everything-ai-ml into your codebase or invoke it directly from your terminal.

4

Execute your test suite or run `everything-ai-ml --help` to verify successful setup.

👍 Strengths

Active community backing with 492 GitHub stars and verified adoption.
Permissive open-source distribution under the MIT license.
Built in TypeScript for high execution speed and developer familiarity.
Cross-platform compatibility across modern Linux, macOS, and Windows environments.
Clean modular design allowing flexible configuration and pipeline integration.

⚠️ Considerations

Requires familiarity with TypeScript and modern CLI workflows.
Ecosystem extensions may require manual configuration depending on environment constraints.
Active development roadmap means breaking API changes may occur across major versions.

⇄ Alternatives & Direct Competitors

F
freeCodeCamp/freeCodeCamp ★ 458.9K TypeScript

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morluto/rea ★ 430.5K TypeScript

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The AI that really does things. Any OS. Any Platform. The lobster way. 🦞

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DeepSeek Harness: Everything is a Plugin.

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👥 Who Should Use This

Developers and engineering teams building with TypeScript, seeking reliable, tested, and actively maintained tooling for production workloads.

🏆 Nearby in the Rankings

viveknaskar/everything-ai-ml is currently ranked #12,463 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#12,449 ikhsan3adi/absensi-sekolah-qr-code PHP ★ 493 Compare ↗
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#12,449 HuskerMinion/techo5 Go ★ 493 Compare ↗
#12,463 viveknaskar/everything-ai-ml This Project TypeScript ★ 492
#12,463 kemayo/maphilight Python ★ 492 Compare ↗
#12,463 cloudsimplus/cloudsimplus Java ★ 492 Compare ↗
#12,463 flamingock/flamingock-java Java ★ 492 Compare ↗
#12,463 lerboe/nuage-macos Swift ★ 492 Compare ↗
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Frequently Asked Questions

What does everything-ai-ml do? +

A curated collection of learning resources for Generative AI, Machine Learning, Agentic AI, LLMs, RAG, Fine-tuning, MLOps, and more.

Is everything-ai-ml actively maintained in 2026? +

Yes, everything-ai-ml is actively maintained. The latest code push was recorded on Nov 1, 2026 (11 days ago). It holds a calculated Maintenance Health Score of 93/100 (A+ rating) with 492 stars and 0 open issues.

What language is everything-ai-ml written in? +

The primary language is TypeScript. Topics include: ai, ai-agents, artificial-intelligence, machine-learning, ml.

How many stars does everything-ai-ml have? +

everything-ai-ml has 492 stars and 69 forks on GitHub.

How does everything-ai-ml rank among GitHub repositories? +

With 492 stars, viveknaskar/everything-ai-ml is ranked #12,463 globally across all repositories tracked on GitHubRepo and #1,487 among TypeScript projects.

What license is everything-ai-ml distributed under? +

The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.

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