GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026
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Decision brief
DSPy is a Python framework for programming language models, offering an alternative to prompting-based approaches.
Good fit when
- Use DSPy when you need a framework that allows for direct programming of language models, rather than relying on prompting techniques.
- Consider DSPy if you are working on projects that require fine-grained control over the model's behavior and logic through programming.
Avoid when
- Avoid DSPy if your project benefits more from natural language prompting and less from direct programming of the model.
- Do not use DSPy if you prefer frameworks that focus on enhancing model performance through advanced prompting strategies.
- Pricing:
- freemium - DSPy is free to use and modify due to its MIT License, but users might incur costs related to model training and deployment.
- Requirements:
- Min 4 GB RAM; Python environment is required for installation and use.
Observed Sep 18, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Very active (0d since push)
- As of Sep 18, 2026
- Provenance
- Not a fork · Organization account
- As of Sep 18, 2026
- Security (OSV)
- No lockfile
- As of Sep 18, 2026
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
pip install dspySimilar tools
Same-category neighbours. No typed graph edges are catalogued for this tool yet.
Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
DSPy is a framework designed for programming language models rather than prompting them.
Capability facts
- Languages
- python
Source: github.language+pyproject.toml · Sep 18, 2026
Categories
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Tags
README
Installation To install the very latest from :
For agents
This page has a .md twin and JSON over the API.