Comparison
litellm vs aqueduct
Verdict
Pick litellm if litellm is a Python SDK and Proxy Server that facilitates the interaction with over 100 LLM APIs, offering features such as cost tracking, guardrails, load balancing, and logging; 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 · litellm alternatives · aqueduct alternatives
GraphCanon updated 2w
Trust & integrity
| Signal | litellm | 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 | Published findings 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
- litellm
- Python SDK and Proxy Server for calling multiple LLM APIs
- aqueduct
- Orchestrate LLM and ML workloads on any cloud infrastructure using Go.
Stars
- litellm
- 55k
- aqueduct
- 517
Forks
- litellm
- 10k
- aqueduct
- 20
Open issues
- litellm
- 4.6k
- aqueduct
- 11
Language
- litellm
- Python
- aqueduct
- Go
Adopt for
- litellm
- litellm is a Python SDK and Proxy Server that facilitates the interaction with over 100 LLM APIs, offering features such as cost tracking, guardrails, load balancing, and logging.
- aqueduct
- Aqueduct is a deprecated Go-based tool for orchestrating LLM and ML workloads across various cloud infrastructures with Kubernetes support.
Persona
- litellm
- -
- aqueduct
- -
Runtime
- litellm
- -
- aqueduct
- -
License
- litellm
- The licensing terms for LiteLLM are provided under a license type categorized as 'Other'; details of the exact license should be referenced directly from its source.
- aqueduct
- Apache-2.0
Last pushed
- litellm
- Aug 1, 2026
- aqueduct
- Jun 7, 2023
Categories
- litellm
- Inference & Serving, LLM Frameworks
- aqueduct
- Inference & Serving, LLM Frameworks, Model Training
Trust and health
Maintenance
- litellm
- Very active (96%)
- aqueduct
- Dormant (18%)
Days since push
- litellm
- 0d
- aqueduct
- 1152d
Open issues (now)
- litellm
- 4.6k
- aqueduct
- 11
OSV dependency advisories
- litellm
- Published findings
- aqueduct
- No lockfile (source not queried)
Full report
- litellm
- Trust report
- aqueduct
- Trust report
Choose litellm if…
- litellm is primarily Python; aqueduct is Go.
- License: litellm is Other, aqueduct is Apache-2.0.
- Pricing: While the core functionality is provided free, specific extended features might require a paid plan..
- Requirements: Requires Docker.
- Tags unique to litellm: ai-gateway, azure-openai, bedrock, openai.
- litellm ships Docker support for self-hosted deployment.
- When you need to integrate multiple LLM (Language Learning Modelling) APIs into your application across different providers like Bedrock, Azure, OpenAI, VertexAI, Cohere, Anthropic, Sagemaker, Hugging
When NOT to use litellm
- If your project only requires interaction with a single LLM API and basic functionalities, litellm may be overkill.
Choose aqueduct if…
- aqueduct is primarily Go; litellm is Python.
- License: aqueduct is Apache-2.0, litellm is Other.
- Tags unique to aqueduct: ai, data, data-science, kubernetes.
- Also covers 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 (BerriAI/litellm) · observed Aug 1, 2026
- GitHub forks (BerriAI/litellm) · observed Aug 1, 2026
- Last push (BerriAI/litellm) · observed Aug 1, 2026
- License file (Other) · 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: litellm 55k · aqueduct 517 (synced Aug 1, 2026).
Common questions
- What is the difference between litellm and aqueduct?
- litellm: Python SDK and Proxy Server for calling multiple LLM APIs. 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 litellm over aqueduct?
- Choose litellm over aqueduct when litellm is primarily Python; aqueduct is Go; License: litellm is Other, aqueduct is Apache-2.0; Pricing: While the core functionality is provided free, specific extended features might require a paid plan.; Requirements: Requires Docker; Tags unique to litellm: ai-gateway, azure-openai, bedrock, openai; litellm ships Docker support for self-hosted deployment; When you need to integrate multiple LLM (Language Learning Modelling) APIs into your application across different providers like Bedrock, Azure, OpenAI, VertexAI, Cohere, Anthropic, Sagemaker, Hugging.
- When should I choose aqueduct over litellm?
- Choose aqueduct over litellm when aqueduct is primarily Go; litellm is Python; License: aqueduct is Apache-2.0, litellm is Other; Tags unique to aqueduct: ai, data, data-science, kubernetes; Also covers 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 litellm?
- If your project only requires interaction with a single LLM API and basic functionalities, litellm may be overkill.
- 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 litellm or aqueduct more popular on GitHub?
- litellm has more GitHub stars (55,221 vs 517). Stars measure visibility, not whether either tool fits your constraints.
- Are litellm and aqueduct open source?
- Yes - both are open-source projects on GitHub (litellm: Other, aqueduct: Apache-2.0).
- Where can I find alternatives to litellm or aqueduct?
- GraphCanon lists graph-backed alternatives at litellm alternatives and aqueduct alternatives (litellm 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, litellm or aqueduct?
- litellm: 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 litellm and aqueduct?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: litellm trust report; aqueduct trust report.