dspy-ai
DSPy
Decision gist · record as of 2026-08-14
Yes. DSPy is actively maintained, permissively licensed, has low install friction, and addresses a real pain point in language model application development. The framework has strong community adoption (37189 GitHub stars, top 5000 PyPI packages) and zero known vulnerabilities. Install it if you're building anything beyond simple single-prompt use cases.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.9 or later
- Installation is straightforward with low friction.
- The package is actively maintained with a recent release and substantial community engagement (37189 GitHub stars), indicating solid ongoing development.
License · maintenance · safety
MIT License (permissive) — MIT License permits free use, modification, and distribution with minimal restrictions, making it suitable for both open-source and commercial projects.
last release 2026-08-03 (11 days) · last repo commit 2026-08-14 · 37,189 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 909,681 downloads/mo, #4,748 on PyPI
Alternatives
Verify before relying
pip install dspy-ai
import dspy
# Define a simple task using DSPy
class SimpleClassifier(dspy.ChainOfThought):
pass- Whether the framework requires external LLM API keys or supports local models exclusively
- Performance characteristics and scalability limits for production deployments
- Specific version compatibility with popular LLM providers and APIs
What it is and what it does
DSPy is a framework that shifts language model development from manual prompt engineering to compositional Python programming. Instead of writing and tweaking prompts by hand, you define your AI system's logic in Python code, then use DSPy's optimization algorithms to automatically improve the prompts and weights that drive your language model's outputs. This approach scales from simple classifiers to complex retrieval-augmented generation pipelines and agent loops.
The framework treats language model calls as compilable, optimizable components rather than black-box function calls. You compose these components into larger systems using standard Python patterns, and DSPy provides tools to teach your language models to deliver high-quality outputs for your specific tasks. The result is more maintainable and iteratively improvable AI applications compared to hand-crafted prompt management.
Use it for
- Build modular RAG systems where retrieval and generation steps are optimized together
- Create multi-step agent workflows where each language model call's behavior is automatically refined
- Develop classifiers with automatically optimized prompts tailored to your data
- Iterate rapidly on language model applications by recompiling instead of manual prompt rewrites
- Compose reusable language model components into larger systems with clear interfaces
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
DSPy is actively maintained, permissively licensed, has low install friction, and addresses a real pain point in language model application development. The framework has strong community adoption (37189 GitHub stars, top 5000 PyPI packages) and zero known vulnerabilities. Install it if you're building anything beyond simple single-prompt use cases.
Install
dspy-ai on PyPI
Before you install
Installation is straightforward with low friction. The package is actively maintained with a recent release and substantial community engagement (37189 GitHub stars), indicating solid ongoing development.
Requires Python 3.9 or later
License in practice
MIT License permits free use, modification, and distribution with minimal restrictions, making it suitable for both open-source and commercial projects.
Quickstart
pip install dspy-ai
import dspy
# Define a simple task using DSPy
class SimpleClassifier(dspy.ChainOfThought):
passVerify before relying
- Whether the framework requires external LLM API keys or supports local models exclusively
- Performance characteristics and scalability limits for production deployments
- Specific version compatibility with popular LLM providers and APIs
Package facts
| License | MIT License permissive |
| Python support | Supports the current Python release >=3.9 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 1 packagedspy |
| Maintenance | Actively maintained 11 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 909,681 / month, #4,748 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
Evidence: dspy_ai-3.3.0-py3-none-any.whl
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