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DSPy

Programming framework for LLM pipelines (Stanford NLP)

AI InfrastructureFounded 2023#18 of 55 in AI Infrastructure

dspy.aiGitHubPyPI
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Company research

Current company data

No company research card is published for DSPy yet. The current company data below lists package, repository, and discussion metrics AI-Buzz can inspect today; AI-Buzz publishes a card when recent public metrics show a measured change with dated evidence and cited sources.

Package downloads (30d)

5.6M/30d

Dependent projects

251

dependents · latest

GitHub stars

36.1K

Hacker News

5/30d

Note: Public metrics are incomplete, and current data alone does not prove a trend; they do not show private usage, paid use, customer count, or product quality.

See latest dataHow we measure itAll research →

Company profile

What is DSPy?

DSPy is an open-source programming framework developed by researchers at Stanford NLP and other institutions. It provides tools for building, optimizing, and evaluating complex language model pipelines, allowing developers to programmatically compose prompts and models rather than relying on manual prompt engineering. Its significance lies in offering a structured, systematic approach to developing robust and efficient LLM applications, moving beyond ad-hoc prompting.

Latest company data

Metric dates vary by source

Metric dates
PyPI downloads
PyPI dependents
GitHub stars
Hacker News mentions

Key metric

Package downloads (30d)

5.6M/30d

Tracked package: PyPI dspy

▼ -20%

Additional metrics

3 metrics

Metric

Dependent projects

251

Projects depending on tracked package: PyPI dspy

Metric

GitHub stars

36.1K

Main repository stars

Metric

Hacker News

5/30d

Position #28 in category discussion

Repository health

Maintenance data from the main open-source repository.

Key-person risk
1
Releases (30d)
0

Repository usage

Public repositories and source files importing packages tied to DSPy.

Repos importing
30%

About DSPy

DSPy is an open-source programming framework developed by researchers at Stanford NLP and other institutions. It provides tools for building, optimizing, and evaluating complex language model pipelines, allowing developers to programmatically compose prompts and models rather than relying on manual prompt engineering. Its significance lies in offering a structured, systematic approach to developing robust and efficient LLM applications, moving beyond ad-hoc prompting.

FoundersOmar Khattab, Matei Zaharia, Chris Potts, Sanja Fidler, Hao Zhang, Ashish Sabharwal, Noah Goodman, Michael S. Bernstein, Percy Liang
dspy.aigithub.com/stanfordnlp/dspyPyPI: dspy

Tracked packages (1)

1 PyPI

dspy

PyPIMain PyPI package

dspy

Programming framework for LLM pipelines (Stanford NLP)