A unified orchestration layer for heterogeneous AI compute. It standardizes how to manage compute and run training and inference on GPU clouds, Kubernetes, VMs, or bare-metal clusters.
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+57
STARS · LAST 30 DAYS
2
PER DAY
#550
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +14 | +57 | +180 |
| Per day | 2 | 2 | 2 |
| Forks gained | +1 | +5 | +13 |
dstack gained 57 stars in the last 30 days, about 2 a day, and now has 2.3K. It is about 5 years old and has averaged roughly 457 stars a year. It ranks #550 among Python repositories and #3,878 across all languages on GitHubRepo.
Trending Record
4
DAYS ON TRENDING
#5964
BEST RANK
Oct 15, 2026
FIRST APPEARANCE
Active
STATUS TODAY
dstack has maintained a continuous presence across global trending indexes, peaking at #5964. Below is the 30-day activity profile:
💡 Overview
dstack is an open-source project written in Python: A unified orchestration layer for heterogeneous AI compute. It standardizes how to manage compute and run training and inference on GPU clouds, Kubernetes, VMs, or bare-metal clusters.
Engineered for speed, consistency, and developer ease, it solves common hurdles in agent-skills, agentic-orchestration, amd. 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 dstack⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Python >= 3.9, pip, virtualenv
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
dstack 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 dstack.
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 dstack using your package manager: `pip install dstack`
Initialize your project workspace or configuration file for dstack.
Import dstack into your codebase or invoke it directly from your terminal.
Execute your test suite or run `dstack --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
dstackai/dstack is currently ranked #3,878 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
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|---|---|---|---|---|
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| #3,878 | dstackai/dstack This Project | Python | ★ 2.3K | |
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Frequently Asked Questions
What does dstack do? +
A unified orchestration layer for heterogeneous AI compute. It standardizes how to manage compute and run training and inference on GPU clouds, Kubernetes, VMs, or bare-metal clusters.
What language is dstack written in? +
The primary language is Python. Topics include: agent-skills, agentic-orchestration, amd, cloud, containers.
Is dstack actively maintained? +
Yes, the last recorded push was on Oct 15, 2026 with 58 open issues being tracked.
How many stars does dstack have? +
dstack has 2,283 stars and 269 forks on GitHub.
How does dstack rank among GitHub repositories? +
With 2,283 stars, dstackai/dstack is ranked #3,878 globally across all repositories tracked on GitHubRepo and #550 among Python projects.
What license is dstack distributed under? +
The repository reports a MPL-2.0 license. Always verify the repository LICENSE file for legal terms.
