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stanfordnlp/dspy

DSPy: The framework for programming—not prompting—language models

Python ◇ developer-tools MIT
★38.4KSTARS
⑂3.4KFORKS
!741ISSUES
🏆#272GLOBAL RANK
🔥3DAYS TRENDING
🚀
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Star History

Continuous Observations
Interactive star growth chart for stanfordnlp/dspy
CSV

Momentum

+959

STARS · LAST 30 DAYS

32

PER DAY

#61

MOST-STARRED Python

Window7 days30 days90 days
Stars gained+224+959+2.9K
Per day323232
Forks gained+17+67+168

dspy gained 959 stars in the last 30 days, about 32 a day, and now has 38.4K. It is about 4 years old and has averaged roughly 9.6K stars a year. It ranks #61 among Python repositories and #272 across all languages on GitHubRepo.

Trending Record

dspy has maintained a continuous presence across global trending indexes, peaking at #908. Below is the 30-day activity profile:

💡 Overview

dspy is an open-source project written in Python: DSPy: The framework for programming—not prompting—language models.

Engineered for speed, consistency, and developer ease, it solves common hurdles in Python. 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 Python 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
$ pip install dspy

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Python >= 3.9, pip, virtualenv

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

dspy 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

Production System Integration

Embed dspy into Python backend services to handle core application logic.

CI/CD Automated Pipelines

Run automated validation, builds, and integration suites during deployments.

Developer Tooling & Workflows

Accelerate developer onboarding with pre-configured project utilities.

Open Source Extension

Fork and customize internal modules under the repository's open MIT license.

🚀 Getting Started

1

Install dspy using your package manager: `pip install dspy`

2

Initialize your project workspace or configuration file for dspy.

3

Import dspy into your codebase or invoke it directly from your terminal.

4

Execute your test suite or run `dspy --help` to verify successful setup.

👍 Strengths

Active community backing with 38,353 GitHub stars and verified adoption.
Permissive open-source distribution under the MIT license.
Built in Python 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 Python 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.

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👥 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

stanfordnlp/dspy is currently ranked #272 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#267 preactjs/preact JavaScript ★ 38.9K Compare ↗
#268 lapce/lapce Rust ★ 38.9K Compare ↗
#269 volcengine/OpenViking Python ★ 38.7K Compare ↗
#270 xyflow/xyflow TypeScript ★ 38.5K Compare ↗
#271 dotnet/aspnetcore C# ★ 38.5K Compare ↗
#272 stanfordnlp/dspy This Project Python ★ 38.4K
#273 PhilJay/MPAndroidChart Kotlin ★ 38.2K Compare ↗
#274 servo/servo Rust ★ 38K Compare ↗
#275 vlang/v V ★ 37.9K Compare ↗
#276 eugenp/tutorials Java ★ 37.3K Compare ↗
#277 fastify/fastify JavaScript ★ 37.2K Compare ↗

Frequently Asked Questions

What does dspy do? +

DSPy: The framework for programming—not prompting—language models

What language is dspy written in? +

The primary language is Python. Topics include: software.

Is dspy actively maintained? +

Yes, the last recorded push was on Sep 26, 2026 with 741 open issues being tracked.

How many stars does dspy have? +

dspy has 38,353 stars and 3,367 forks on GitHub.

How does dspy rank among GitHub repositories? +

With 38,353 stars, stanfordnlp/dspy is ranked #272 globally across all repositories tracked on GitHubRepo and #61 among Python projects.

What license is dspy distributed under? +

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

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