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yonga

PyPIInfrastructure

No liveness check has reached it yet; it is registered on GitHub and PyPI and has been in the index since 11 Oct 2026. How this is checked

Yonga is an open-source Linux command-line model manager for Intel AI PCs. It integrates OpenVINO, Optimum Intel, and Hugging Face Hub to help users download, manage, quantize, and run local AI models across Intel hardware.

Inferred · not functionally tested

Open SourceApache-2.0CLILinuxSelf-hosted
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Overview

6 features

Purpose: Managing and running local AI models efficiently on Intel AI PCs.

Inferred · not functionally tested

Audience: developers and AI enthusiasts using Intel AI PCs

Inferred · not functionally tested

Functions: Unknown

Interfaces: API: unknown · MCP: unknown · CLI: indicated (inferred, not tested) · Self-hosting: indicated (inferred, not tested)

Recorded constraints: pricing: open_source · license: Apache-2.0 · platforms: CLI · deployment: cli, linux, self_hosted

Constraint provenance is unknown; confirm requirements with the publisher.

Record sources: pypi.org · github.com. These links do not verify the individual claims.

yonga sits in PulseGate's Inference & model serving category. Inferred · not functionally tested: It focuses on managing and running local AI models efficiently on Intel AI PCs. Inferred · not functionally tested: It is built as an open-source project for developers and AI enthusiasts using Intel AI PCs. Basis unknown · not verified: The project is open source (Apache-2.0). Basis unknown · not verified: yonga is available on the command line and Linux, and it can be self-hosted.

It is developed by Oğuz, and it first shipped in 2026. The project is developed in the open on GitHub with 103 commits in the last 90 days. Inferred · not functionally tested: Key capabilities include model management, local inference, and model quantization.

Summary written by a language model from the project’s public pages.

Tasks: Inferred · not functionally tested

  • Model management
  • Local inference
  • Model quantization
  • Hugging Face integration
  • OpenVINO support
  • Optimum Intel support

Topics: Inferred · not functionally tested

Tags
intel-ai-pcopenvinolocal-llmmodel-managernpu-acceleration
AI capabilities
TextMultimodal
Inference: Local

JSON profile · Text profile · Access guide

Built with & integrations

Framework
FastAPI
AI providers
local_oss
Runs on
CLILinuxSelf-hosted

Trust & compliance

License
Apache-2.0
Public signals
HTTPSOpen SourceFree tierGitHubActive maintenance

Indexing history

1

What PulseGate has recorded for this listing

  1. Indexed11 Oct · 03:03 UTC
    yonga seen via PyPI Bulk Enumerator
    Source: PyPI Bulk Enumerator · Open

Frequently asked questions about yonga

What does yonga do?
Inferred · not functionally tested: Yonga focuses on managing and running local AI models efficiently on Intel AI PCs. It is catalogued under Inference & model serving on PulseGate.
Who is yonga for?
Inferred · not functionally tested: yonga is an open-source project built for developers and AI enthusiasts using Intel AI PCs.
Is yonga free?
Basis unknown · not verified: Yes — yonga is open source under the Apache-2.0 license and free to use.
What platforms does yonga run on?
Basis unknown · not verified: yonga runs on the command line and Linux. It can also be self-hosted.
Is yonga still active?
The GitHub repository shows 103 commits in the last 90 days.
What are alternatives to yonga?
Similar projects tracked by PulseGate include freewhirr, zhongyitang, and SpicyAPI.freewhirrzhongyitangSpicyAPI
Who makes yonga?
yonga is developed by Oğuz.
How long has yonga been around?
yonga first shipped in 2026.

Also in Inference & model serving

Same category — not a similarity match