Home/Compare/ai-serving vs deepstream-services-library

Comparison

ai-serving vs deepstream-services-library

Verdict

Pick ai-serving if ai-Serving is an inference server supporting PMML and ONNX formats via HTTP or gRPC endpoints, easily deployable with Docker; pick deepstream-services-library if a library of on-demand DeepStream Pipeline services for Python and C++, supporting computer vision tasks such as object detection through integration with the NVIDIA DeepStream SDK.

Markdown twin · ai-serving alternatives · deepstream-services-library alternatives

GraphCanon updated 6d

ai-serving logo

ai-serving

autodeployai/ai-serving

166pushed Feb 24, 2026
vs
deepstream-services-library logo

deepstream-services-library

prominenceai/deepstream-services-library

347pushed Mar 17, 2025

Trust & integrity

Signalai-servingdeepstream-services-library
Maintenance
Slowing (171d since push)
As of 6d · github_public_v1
Dormant (501d since push)
As of 2w · github_public_v1
Provenance
Not a fork · Organization account
As of 6d · 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

ai-serving
Serving AI/ML models in open standard formats PMML and ONNX with HTTP and gRPC endpoints
deepstream-services-library
Library of on-demand DeepStream Pipeline Services for AI-based video analytics

Stars

ai-serving
166
deepstream-services-library
347

Forks

ai-serving
31
deepstream-services-library
69

Open issues

ai-serving
3
deepstream-services-library
65

Language

ai-serving
Scala
deepstream-services-library
C++

Adopt for

ai-serving
Ai-Serving is an inference server supporting PMML and ONNX formats via HTTP or gRPC endpoints, easily deployable with Docker.
deepstream-services-library
A library of on-demand DeepStream Pipeline services for Python and C++, supporting computer vision tasks such as object detection through integration with the NVIDIA DeepStream SDK.

Persona

ai-serving
-
deepstream-services-library
-

Runtime

ai-serving
-
deepstream-services-library
-

License

ai-serving
Apache-2.0
deepstream-services-library
MIT

Last pushed

ai-serving
Feb 24, 2026
deepstream-services-library
Mar 17, 2025

Categories

ai-serving
Inference & Serving
deepstream-services-library
Computer Vision, Inference & Serving

Trust and health

Maintenance

ai-serving
Slowing (36%)
deepstream-services-library
Dormant (18%)

Days since push

ai-serving
171d
deepstream-services-library
501d

Open issues (now)

ai-serving
3
deepstream-services-library
65

Stars delta

ai-serving
0 (30d)
deepstream-services-library
Unknown

Open issues delta

ai-serving
0 (30d)
deepstream-services-library
Unknown

Full report

ai-serving
Trust report
deepstream-services-library
Trust report

Choose ai-serving if…

  • ai-serving is primarily Scala; deepstream-services-library is C++.
  • License: ai-serving is Apache-2.0, deepstream-services-library is MIT.
  • Tags unique to ai-serving: ai-serving, grpc, inference-server, onnx.
  • When you need to serve models in both PMML and ONNX formats without manual configuration changes between formats.

When NOT to use ai-serving

  • Avoid if your team lacks familiarity or willingness to use Scala for deployment through sbt build system for customization needs.
  • Not suitable when only one model format, either PMML or ONNX but not both, is needed and a simpler solution would suffice.
  • If your project strictly requires a non-Dockerized setup that does not align with using pre-built Docker images.

Choose deepstream-services-library if…

  • deepstream-services-library is primarily C++; ai-serving is Scala.
  • License: deepstream-services-library is MIT, ai-serving is Apache-2.0.
  • Tags unique to deepstream-services-library: c++, gstreamer, nvidia deepstream sdk, object-detection.
  • Also covers Computer Vision.
  • When developing AI-based video analytics applications that require integration with NVIDIA's GPU-accelerated tools.

When NOT to use deepstream-services-library

  • When the primary development environment is not Linux-based, as DeepStream Services Library has NVIDIA-specific dependencies.
  • For applications needing real-time analytics on platforms that do not support NVIDIA GPUs.
  • If the project does not require object detection or segmentation visualization features for video streams and focuses more on other aspects of computer vision.

Explore

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: ai-serving 166 · deepstream-services-library 347 (synced Aug 14, 2026).

Common questions

What is the difference between ai-serving and deepstream-services-library?
ai-serving: Serving AI/ML models in open standard formats PMML and ONNX with HTTP and gRPC endpoints. deepstream-services-library: Library of on-demand DeepStream Pipeline Services for AI-based video analytics. See the comparison table for live GitHub stats and shared categories.
When should I choose ai-serving over deepstream-services-library?
Choose ai-serving over deepstream-services-library when ai-serving is primarily Scala; deepstream-services-library is C++; License: ai-serving is Apache-2.0, deepstream-services-library is MIT; Tags unique to ai-serving: ai-serving, grpc, inference-server, onnx; When you need to serve models in both PMML and ONNX formats without manual configuration changes between formats.
When should I choose deepstream-services-library over ai-serving?
Choose deepstream-services-library over ai-serving when deepstream-services-library is primarily C++; ai-serving is Scala; License: deepstream-services-library is MIT, ai-serving is Apache-2.0; Tags unique to deepstream-services-library: c++, gstreamer, nvidia deepstream sdk, object-detection; Also covers Computer Vision; When developing AI-based video analytics applications that require integration with NVIDIA's GPU-accelerated tools.
When should I avoid ai-serving?
Avoid if your team lacks familiarity or willingness to use Scala for deployment through sbt build system for customization needs. Not suitable when only one model format, either PMML or ONNX but not both, is needed and a simpler solution would suffice. If your project strictly requires a non-Dockerized setup that does not align with using pre-built Docker images.
When should I avoid deepstream-services-library?
When the primary development environment is not Linux-based, as DeepStream Services Library has NVIDIA-specific dependencies. For applications needing real-time analytics on platforms that do not support NVIDIA GPUs. If the project does not require object detection or segmentation visualization features for video streams and focuses more on other aspects of computer vision.
Is ai-serving or deepstream-services-library more popular on GitHub?
deepstream-services-library has more GitHub stars (347 vs 166). Stars measure visibility, not whether either tool fits your constraints.
Are ai-serving and deepstream-services-library open source?
Yes - both are open-source projects on GitHub (ai-serving: Apache-2.0, deepstream-services-library: MIT).
Where can I find alternatives to ai-serving or deepstream-services-library?
GraphCanon lists graph-backed alternatives at ai-serving alternatives and deepstream-services-library alternatives (ai-serving markdown twin, deepstream-services-library 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, ai-serving or deepstream-services-library?
ai-serving: Slowing. deepstream-services-library: 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 ai-serving and deepstream-services-library?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: ai-serving trust report; deepstream-services-library trust report.

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