← Back to home
Comparison · ai-assistants

Dify vs ONNX Runtime

A side-by-side editorial comparison of Dify and ONNX Runtime — release velocity, themes, recent moves, and the top alternatives to consider.

Dify vs ONNX Runtime: at a glance

FeatureDifyONNX Runtime
Sectorai-assistantsai-assistants
Velocity score6.37.5
Sparks · 30d02
Top themesagent-runtime, workflow-orchestration, human-in-the-loop, skillsexecution-providers, plugin-architecture, cuda, webgpu
Last editorial update21d ago1d ago
WebsiteVisit →Visit →

What is Dify?

Dify is rebuilding itself around a sandboxed agent runtime, with the workflow builder as the legacy layer.

Dify still ships as an LLM app platform — visual workflows, a knowledge base with vector retrieval, and self-hosted Docker deployment. But the last two release cycles have moved the center of gravity: a sandboxed Linux agent runtime, a Skill Editor for packaging reusable capabilities, and a Human Input node that lets a workflow pause for review. Between those, the releases are patch work: tenant isolation fixes, self-hosted SECRET_KEY hardening, and workflow-editor ergonomics.

Read the full Dify trajectory →

What is ONNX Runtime?

ONNX Runtime is dismantling itself into plug-ins — CUDA is now the one that ships separately.

ONNX Runtime is running two release tracks at once: the numbered core releases (1.25 through 1.29) and a growing set of separately versioned plug-in execution providers. WebGPU broke out first in May, and CUDA has now followed with its own 0.1.0. The core releases in between are dominated by security hardening, opset upgrades and deprecation notices rather than new capability.

Read the full ONNX Runtime trajectory →

Dify vs ONNX Runtime: editorial side-by-side

D
Dify
AI-ASSISTANTS
6.3

Dify is rebuilding itself around a sandboxed agent runtime, with the workflow builder as the legacy layer.

◆ Current state

Dify still ships as an LLM app platform — visual workflows, a knowledge base with vector retrieval, and self-hosted Docker deployment. But the last two release cycles have moved the center of gravity: a sandboxed Linux agent runtime, a Skill Editor for packaging reusable capabilities, and a Human Input node that lets a workflow pause for review. Between those, the releases are patch work: tenant isolation fixes, self-hosted SECRET_KEY hardening, and workflow-editor ergonomics.

◆ Where it's heading

The arc from 1.13 to 1.16 is a conversion from graph-first to agent-first. HITL came first, making the workflow engine tolerant of pauses and external decisions; then the agent runtime arrived to fill those graphs with something that plans rather than follows edges. Dify Agent shipping as an explicit experiment — with a warning to expose it only to trusted users — signals the sandbox isolation is not yet production-grade, which is why the surrounding releases spend so much effort on tenant scoping and credential permissions.

◆ Prediction

Expect Dify Agent to leave experimental status in a 1.17 or 1.18 release once the sandbox and credential-scoping work lands, with Skills becoming a shareable artifact alongside the existing app DSL export.

O
ONNX Runtime
AI-ASSISTANTS
7.5

ONNX Runtime is dismantling itself into plug-ins — CUDA is now the one that ships separately.

◆ Current state

ONNX Runtime is running two release tracks at once: the numbered core releases (1.25 through 1.29) and a growing set of separately versioned plug-in execution providers. WebGPU broke out first in May, and CUDA has now followed with its own 0.1.0. The core releases in between are dominated by security hardening, opset upgrades and deprecation notices rather than new capability.

◆ Where it's heading

The direction is a smaller core binary with accelerators attached at runtime. The 1.26 notes stated the intent outright — CUDA moving to a dedicated execution provider rather than a package shipped from core — and 0.1.0 delivers it, with version-gated callbacks maintaining compatibility back to 1.24.4. Alongside that, the deprecation list keeps growing: CUDA 11, then CUDA 12, WebGL and JSEP, ArmNN, the duktape WGSL generator. Web inference is being consolidated onto WebGPU and native inference onto plug-ins.

◆ Prediction

Expect the plug-in EPs to take over release cadence from the core, with CUDA 12 removed in 1.27 as announced and further backends following WebGPU and CUDA out of the main binary.

Alternatives to Dify and ONNX Runtime

Other ai-assistants products tracked by Sparkpulse, ranked by recent ship velocity. Each card links to a full editorial trajectory and lets you pivot into a head-to-head comparison with either Dify or ONNX Runtime.

See all Dify alternatives → · See all ONNX Runtime alternatives →

Recent activity from Dify and ONNX Runtime

Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.

  1. 1d agoONNX RuntimeCUDA becomes a standalone plug-in execution provider
  2. 7d agoONNX RuntimeONNX Runtime 1.29 deprecates WebGL and JSEP, adds POSIX telemetry
  3. 7d agoONNX RuntimeONNX Runtime 1.26 adds RISC-V vector support and .ort memory mapping
  4. 20d agoONNX RuntimeWebGPU plug-in: FlashAttention fusions, Qwen3 and Gemma 4 paths
  5. 22d agoDifyRelease v1.16.1 - Bug Fixes and Security Enhancements
  6. 25d agoONNX RuntimeONNX 1.22 upgrade, slimmer CUDA footprint, experimental C API
  7. 1mo agoONNX RuntimePatch release: QMoE batch-1 decode fast path and fixes
  8. 1mo agoDifyDify Agent: a sandboxed shell agent you build from Skills
  9. 3mo agoDifyv1.14.2 - Security fixes, agent groundwork, workflow reliability, and deployment updates
  10. 3mo agoDifyv1.14.1 - Security hardening, workflow stability, and cleaner self-hosted deployments
  11. 6mo agoDifySandboxed agent runtime and a Skill Editor arrive in 1.14.0-rc1
  12. 6mo agoDify1.13.0 - Human-in-the-Loop and Workflow Execution Upgrades

Frequently asked questions

What is the difference between Dify and ONNX Runtime?

They serve adjacent needs but don't currently overlap on shipped themes. ONNX Runtime is currently shipping more aggressively (velocity 7.5 vs 6.3), with 2 editorial sparks in the last 30 days against 0. See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.

Is Dify better than ONNX Runtime?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. ONNX Runtime is currently shipping more aggressively (velocity 7.5 vs 6.3), with 2 editorial sparks in the last 30 days against 0. For your specific use case, the alternatives sections above list other ai-assistants products to evaluate alongside.

What are the best alternatives to Dify?

Top Dify alternatives in ai-assistants are ranked by recent ship velocity. Browse the "Dify alternatives" section above for the current picks, or visit /alternatives/dify for the full list with editorial commentary on each.

What are the best alternatives to ONNX Runtime?

Top ONNX Runtime alternatives in ai-assistants are ranked by recent ship velocity. Browse the "ONNX Runtime alternatives" section above for the current picks, or visit /alternatives/onnx-runtime for the full list with editorial commentary on each.