DSPy
Programming framework for LLM pipelines (Stanford NLP)
Founded by: Omar Khattab, Matei Zaharia, Chris Potts, Sanja Fidler, Hao Zhang, Ashish Sabharwal, Noah Goodman, Michael S. Bernstein, Percy Liang
Developer Adoption
Package downloads and ecosystem metrics, 30-day window
Active Contributors Trend
Insufficient data for trend chart
Need at least 2 data points (currently have 1)
PyPI Download Trend
pypi downloads grew from 2,386,037 to 4,970,235 (+108.3%) over the last 90 days.
Developer Community Metrics
Metrics computed from HN discussion, GitHub activity, and funding data.
Category Benchmark
75 AI Infrastructure companiesAccording to AI-Buzz, DSPy ranks #23 in AI Infrastructure for HN discussion share (out of 75 tracked with 0.8% of HN discussion), with 64% positive developer sentiment (14 HN comments analyzed), with 2 commits/week (declining), with 4,970,235 PyPI downloads in 30 days, with 20 active contributors in 30 days.
Source: https://www.ai-buzz.com/companies/dspy?utm_source=citation&utm_medium=referral&utm_campaign=cite_this_data
Metrics derived from public APIs (HN Algolia, GitHub, npm/PyPI). Sentiment classified by AI. See methodology for details →
About
Description
Programming framework for LLM pipelines (Stanford NLP)
Website
dspy.aiDetails
Founded
2023
Description
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.
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