Comparison
kserve vs nndeploy
Verdict
Pick kserve when kserve is primarily Go; nndeploy is C++; pick nndeploy when nndeploy is primarily C++; kserve is Go.
Markdown twin · kserve alternatives · nndeploy alternatives
GraphCanon updated Sep 17, 2026
9views this month
Trust & integrity
| Signal | kserve | nndeploy |
|---|---|---|
| Maintenance | Very active (0d since push) As of Aug 24, 2026 · github_public_v1 | Steady (32d since push) As of Sep 17, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Aug 24, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 17, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 11, 2026 · osv@v1 | Published findings As of Jul 15, 2026 · 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
- kserve
- Standardized Distributed Generative and Predictive AI Inference Platform for Scalable, Multi-Framework Deployment on Kubernetes
- nndeploy
- An Easy-to-Use and High-Performance AI Deployment Framework
Stars
- kserve
- 5.8k
- nndeploy
- 1.9k
Forks
- kserve
- 1.6k
- nndeploy
- 233
Open issues
- kserve
- 206
- nndeploy
- 23
Language
- kserve
- Go
- nndeploy
- C++
Adopt for
- kserve
- -
- nndeploy
- nndeploy provides an easy-to-use and high-performance framework for deploying AI algorithms across various platforms with support for multiple deep learning frameworks.
Persona
- kserve
- -
- nndeploy
- -
Runtime
- kserve
- -
- nndeploy
- -
License
- kserve
- Apache-2.0
- nndeploy
- Apache-2.0
Last pushed
- kserve
- Aug 24, 2026
- nndeploy
- Aug 15, 2026
Categories
- kserve
- Inference & Serving
- nndeploy
- Developer Tools, Inference & Serving
Trust and health
Maintenance
- kserve
- Very active (96%)
- nndeploy
- Steady (60%)
Days since push
- kserve
- 0d
- nndeploy
- 32d
Open issues (now)
- kserve
- 206
- nndeploy
- 23
Stars delta
- kserve
- +95 (30d)
- nndeploy
- +18 (30d)
Open issues delta
- kserve
- -99 (30d)
- nndeploy
- 0 (30d)
OSV dependency advisories
- kserve
- No lockfile (source not queried)
- nndeploy
- Published findings
Full report
- kserve
- Trust report
- nndeploy
- Trust report
Choose kserve if…
- kserve is primarily Go; nndeploy is C++.
- Requirements: Requires Docker; Requires a Kubernetes cluster to run..
- Tags unique to kserve: artificial-intelligence, cncf, hacktoberfest, istio.
- kserve ships Docker support for self-hosted deployment.
- When you need a standardized and scalable way to deploy generative and predictive models across multiple frameworks.
When NOT to use kserve
- When your team or organization lacks expertise in Kubernetes, as effective use of kserve/kserve requires familiarity with Kubernetes operations.
- If the deployment environment is not compatible with Kubernetes. KServe's architecture relies on the Kubernetes ecosystem for orchestrating model deployments.
- In situations where support for specific specialized frameworks not covered by kserve (such as certain niche deep learning libraries) is needed.
Choose nndeploy if…
- nndeploy is primarily C++; kserve is Go.
- Tags unique to nndeploy: ai, ascend, deep-learning, deployment.
- Also covers Developer Tools.
- If you need a tool that supports both Python and C++ custom nodes, integrating well into visual workflow design.
When NOT to use nndeploy
- Do not use if your project only requires low-level access to hardware without the need for a high-level interface like nndeploy offers.
- If you're working exclusively on platforms or frameworks unsupported by nndeploy, such as certain proprietary or non-mainstream inference engines.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (kserve/kserve) · observed Aug 24, 2026
- GitHub forks (kserve/kserve) · observed Aug 24, 2026
- Last push (kserve/kserve) · observed Aug 24, 2026
- License file (Apache-2.0) · observed Aug 24, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (nndeploy/nndeploy) · observed Sep 17, 2026
- GitHub forks (nndeploy/nndeploy) · observed Sep 17, 2026
- Last push (nndeploy/nndeploy) · observed Aug 15, 2026
- License file (Apache-2.0) · observed Sep 17, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
GitHub stars on cards: kserve 5.8k · nndeploy 1.9k (synced Aug 24, 2026).
Common questions
- What is the difference between kserve and nndeploy?
- kserve: Standardized Distributed Generative and Predictive AI Inference Platform for Scalable, Multi-Framework Deployment on Kubernetes. nndeploy: An Easy-to-Use and High-Performance AI Deployment Framework. See the comparison table for live GitHub stats and shared categories.
- When should I choose kserve over nndeploy?
- Choose kserve over nndeploy when kserve is primarily Go; nndeploy is C++; Requirements: Requires Docker; Requires a Kubernetes cluster to run.; Tags unique to kserve: artificial-intelligence, cncf, hacktoberfest, istio; kserve ships Docker support for self-hosted deployment; When you need a standardized and scalable way to deploy generative and predictive models across multiple frameworks.
- When should I choose nndeploy over kserve?
- Choose nndeploy over kserve when nndeploy is primarily C++; kserve is Go; Tags unique to nndeploy: ai, ascend, deep-learning, deployment; Also covers Developer Tools; If you need a tool that supports both Python and C++ custom nodes, integrating well into visual workflow design.
- When should I avoid kserve?
- When your team or organization lacks expertise in Kubernetes, as effective use of kserve/kserve requires familiarity with Kubernetes operations. If the deployment environment is not compatible with Kubernetes. KServe's architecture relies on the Kubernetes ecosystem for orchestrating model deployments. In situations where support for specific specialized frameworks not covered by kserve (such as certain niche deep learning libraries) is needed.
- When should I avoid nndeploy?
- Do not use if your project only requires low-level access to hardware without the need for a high-level interface like nndeploy offers. If you're working exclusively on platforms or frameworks unsupported by nndeploy, such as certain proprietary or non-mainstream inference engines.
- Is kserve or nndeploy more popular on GitHub?
- kserve has more GitHub stars (5,826 vs 1,878). Stars measure visibility, not whether either tool fits your constraints.
- Are kserve and nndeploy open source?
- Yes - both are open-source projects on GitHub (kserve: Apache-2.0, nndeploy: Apache-2.0).
- Where can I find alternatives to kserve or nndeploy?
- GraphCanon lists graph-backed alternatives at kserve alternatives and nndeploy alternatives (kserve markdown twin, nndeploy 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, kserve or nndeploy?
- kserve: Very active. nndeploy: Steady. 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 kserve and nndeploy?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: kserve trust report; nndeploy trust report.