Company research
As of May 18, 2026
Hacker News mentions decreased 92.8% over the last 30 days. Hacker News is discussion volume, not adoption.
DSPy
Programming framework for LLM pipelines (Stanford NLP)
AI InfrastructureFounded 2023#16 of 55 in AI Infrastructure
Updated May 29, 2026
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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.
History
Research history
3 research updates
Ai Infrastructure
DSPy: Hacker News mentions decreased 92.8% over the last 30 days
LatestAi Infrastructure
DSPy: Hacker News mentions decreased 85.5% over the last 30 days
1 metricAi Infrastructure
DSPy: Hacker News mentions decreased 87% over the last 30 days
1 metricLatest company data
Primary data point
Downloads
7.2M/30d
Tracked package: PyPI dspy
▲ +9%Updated 1d ago
Other data points
Dependent projects
251
Projects depending on tracked package: PyPI dspy
Updated 10h ago
GitHub stars
34.7K
Main repository stars
Updated 10h ago
Hacker News
3/30d
Position #33 in category discussion
Updated 10h ago
Repository health
Maintenance data from the main open-source repository.
Key-person riskSource: GitHub public event dataUpdates: WeeklyCaveat: Minimum developers needed for half of recent code changes. Lower = higher concentration risk.Methodology →
1
Releases (30d)Source: GitHub release dataUpdates: WeeklyCaveat: Published releases in the last 30 daysMethodology →
0
Repository usage
Public repositories and source files importing packages tied to DSPy.
Repos importingMetric: Public GitHub repos using company packagesSource: ecosyste.ms Packages APIScope: UTC daily snapshotUpdates: DailyFreshness: 48h target; 48h expected source lagConfidence: HighCaveat: Public GitHub dependency data only; private repos and direct API use outside those packages are not visible.Methodology →
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
Tracked packages (1)
1 PyPI
dspy
PyPIMain PyPI packagedspy
Programming framework for LLM pipelines (Stanford NLP)