DSPy vs Haystack
Side-by-side comparison built from DeepYard's structured catalog. Content updated Aug 21, 2026.
Direct Answer
DSPy suits teams needing open-source access, prompt optimization focus, and 37,489 GitHub stars in current listing data. Haystack suits teams needing open-source access, pipelines focus, and 26,274 GitHub stars in current listing data. This summary reflects catalog metadata only for decision support, not independent testing.
What this comparison weighs
- Pricing and free-tier availability
- License model and deployment fit
- GitHub adoption and contributor depth
- Catalog tags, integrations, and supported workflows
| Metric | DSPy | Haystack |
|---|---|---|
| GitHub Stars | 37.5K | 26.3K |
| Contributors | 406 | 415 |
| Last Commit | Aug 21, 2026 | Aug 22, 2026 |
| Open Issues | 643 | 95 |
| License | open-source | open-source |
| Pricing | open-source | open-source |
| Free Tier | Yes | Yes |
| Category | frameworks | frameworks |
| Trending | No | No |
Choose DSPy if you need
- • DSPy is the stronger pick when Prompt Optimization matters because that capability is listed only on its profile.
- • DSPy shows broader GitHub adoption with 37,489 stars versus 26,274 for Haystack.
- • DSPy is the cleaner fit if you specifically need Prompt Optimization workflows from the catalog tags.
Choose Haystack if you need
- • Haystack is the stronger pick when Pipelines matters because that capability is listed only on its profile.
- • Haystack has a larger visible contributor base (415 vs 406).
- • Haystack is the cleaner fit if you specifically need Pipelines workflows from the catalog tags.
Meaningful differences
- • GitHub adoption: DSPy shows 37,489 stars versus 26,274 for Haystack.
- • Contributor count: DSPy lists 406 contributors and Haystack lists 415.
Shared capabilities
- • Rag
- • Python
- • Open Source
Shared Tags
Only in DSPy
Only in Haystack
Limitations and evidence
- • DeepYard compares structured public metadata; this is not an independent benchmark unless a test record is shown.
- • Signals such as stars, contributors, and last commit indicate public activity, not purchase fit or runtime quality.
- • Pricing and feature coverage reflect the stored listing snapshot and may lag vendor changes between refreshes.
About DSPy
DSPy replaces prompt engineering with programming. Instead of writing prompts, you define modules with input/output signatures and DSPy automatically optimizes the prompts and weights for your pipeline. Supports chain-of-thought, retrieval-augmented generation, and multi-hop reasoning patterns. From Stanford NLP.
View full listingAbout Haystack
Haystack by deepset is a Python framework for building production-ready LLM applications, RAG pipelines, and AI agents. It provides a composable pipeline architecture where components (retrievers, generators, rankers, agents) connect through a directed graph. Haystack supports all major LLM providers and vector databases, with strong emphasis on evaluation, testing, and production deployment.
View full listing