Comparison
haystack vs aqueduct
Verdict
Pick haystack if haystack is an open-source AI orchestration framework for building context-engineered LLM applications; pick aqueduct if aqueduct is a deprecated Go-based tool for orchestrating LLM and ML workloads across various cloud infrastructures with Kubernetes support.
Markdown twin · haystack alternatives · aqueduct alternatives
GraphCanon updated 2w
Trust & integrity
| Signal | haystack | aqueduct |
|---|---|---|
| Maintenance | Very active (0d since push) As of 3w · github_public_v1 | Dormant (1152d since push) As of 2w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 3w · github_public_v1 | Not a fork · Organization account As of 2w · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No lockfile (source not queried) As of 1mo · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- haystack
- Open-source AI orchestration framework for building context-engineered LLM applications.
- aqueduct
- Orchestrate LLM and ML workloads on any cloud infrastructure using Go.
Stars
- haystack
- 26k
- aqueduct
- 517
Forks
- haystack
- 3.0k
- aqueduct
- 20
Open issues
- haystack
- 108
- aqueduct
- 11
Language
- haystack
- Python
- aqueduct
- Go
Adopt for
- haystack
- Haystack is an open-source AI orchestration framework for building context-engineered LLM applications.
- aqueduct
- Aqueduct is a deprecated Go-based tool for orchestrating LLM and ML workloads across various cloud infrastructures with Kubernetes support.
Persona
- haystack
- -
- aqueduct
- -
Runtime
- haystack
- -
- aqueduct
- -
License
- haystack
- Apache-2.0
- aqueduct
- Apache-2.0
Last pushed
- haystack
- Aug 1, 2026
- aqueduct
- Jun 7, 2023
Categories
- haystack
- AI Agents, Data & Retrieval, LLM Frameworks
- aqueduct
- Inference & Serving, LLM Frameworks, Model Training
Trust and health
Maintenance
- haystack
- Very active (96%)
- aqueduct
- Dormant (18%)
Days since push
- haystack
- 0d
- aqueduct
- 1152d
Open issues (now)
- haystack
- 108
- aqueduct
- 11
Full report
- haystack
- Trust report
- aqueduct
- Trust report
Choose haystack if…
- haystack is primarily Python; aqueduct is Go.
- Pricing: Free and open-source under the Apache-2.0 license, but users have to manage their own infrastructure and resources..
- Requirements: Min 4 GB RAM; Requires Docker.
- Tags unique to haystack: agent, agents, gemini, generative-ai.
- Also covers AI Agents, Data & Retrieval.
- You need explicit control over retrieval, routing, memory, and generation within your LLM application pipelines.
When NOT to use haystack
- You require integration with specific proprietary tools or frameworks not supported by Haystack.
- Your development team is not familiar with Python-based technologies, since Haystack primarily supports Python-based workflows.
- You are looking for a completely managed service rather than an open-source framework that requires more hands-on configuration and customization.
Choose aqueduct if…
- aqueduct is primarily Go; haystack is Python.
- Tags unique to aqueduct: data, data-science, kubernetes, llm.
- Also covers Inference & Serving, Model Training.
- When you need to deploy legacy workflows that depend on Aqueduct's specific implementation of custom ops for resource allocation and training.
When NOT to use aqueduct
- Avoid if active project maintenance or community support is required as Aqueduct is no longer maintained.
- Skip this tool for new projects focusing on state-of-the-art ML orchestration, opting instead for actively supported alternatives.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (deepset-ai/haystack) · observed Aug 1, 2026
- GitHub forks (deepset-ai/haystack) · observed Aug 1, 2026
- Last push (deepset-ai/haystack) · observed Aug 1, 2026
- License file (Apache-2.0) · observed Aug 1, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (RunLLM/aqueduct) · observed Aug 3, 2026
- GitHub forks (RunLLM/aqueduct) · observed Aug 3, 2026
- Last push (RunLLM/aqueduct) · observed Jun 7, 2023
- License file (Apache-2.0) · observed Aug 3, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: haystack 26k · aqueduct 517 (synced Aug 1, 2026).
Common questions
- What is the difference between haystack and aqueduct?
- haystack: Open-source AI orchestration framework for building context-engineered LLM applications.. aqueduct: Orchestrate LLM and ML workloads on any cloud infrastructure using Go.. See the comparison table for live GitHub stats and shared categories.
- When should I choose haystack over aqueduct?
- Choose haystack over aqueduct when haystack is primarily Python; aqueduct is Go; Pricing: Free and open-source under the Apache-2.0 license, but users have to manage their own infrastructure and resources.; Requirements: Min 4 GB RAM; Requires Docker; Tags unique to haystack: agent, agents, gemini, generative-ai; Also covers AI Agents, Data & Retrieval; You need explicit control over retrieval, routing, memory, and generation within your LLM application pipelines.
- When should I choose aqueduct over haystack?
- Choose aqueduct over haystack when aqueduct is primarily Go; haystack is Python; Tags unique to aqueduct: data, data-science, kubernetes, llm; Also covers Inference & Serving, Model Training; When you need to deploy legacy workflows that depend on Aqueduct's specific implementation of custom ops for resource allocation and training.
- When should I avoid haystack?
- You require integration with specific proprietary tools or frameworks not supported by Haystack. Your development team is not familiar with Python-based technologies, since Haystack primarily supports Python-based workflows. You are looking for a completely managed service rather than an open-source framework that requires more hands-on configuration and customization.
- When should I avoid aqueduct?
- Avoid if active project maintenance or community support is required as Aqueduct is no longer maintained. Skip this tool for new projects focusing on state-of-the-art ML orchestration, opting instead for actively supported alternatives.
- Is haystack or aqueduct more popular on GitHub?
- haystack has more GitHub stars (26,073 vs 517). Stars measure visibility, not whether either tool fits your constraints.
- Are haystack and aqueduct open source?
- Yes - both are open-source projects on GitHub (haystack: Apache-2.0, aqueduct: Apache-2.0).
- Where can I find alternatives to haystack or aqueduct?
- GraphCanon lists graph-backed alternatives at haystack alternatives and aqueduct alternatives (haystack markdown twin, aqueduct markdown twin), ranked by typed relationship edges rather than popularity votes.
- Is there a machine-readable version of this comparison?
- Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
- Which is better maintained, haystack or aqueduct?
- haystack: Very active. aqueduct: Dormant. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.
- Where are the full trust reports for haystack and aqueduct?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: haystack trust report; aqueduct trust report.