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quantcost

PyPIInfrastructure

PulseGate's liveness check found it on 2 Oct 2026; it is registered on PyPI and has been in the index since 2 Oct 2026. How this is checked

quantcost is an open-source Python package for benchmarking quantized models on user hardware. It measures inference speed, model size, memory usage, and quality metrics for formats and runtimes such as INT4, INT8, ONNX, and ONNX Runtime.

Inferred · not functionally tested

Open SourceMITCLISelf-hosted
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Overview

6 features

Purpose: Measuring the real-world performance, resource usage, and quality tradeoffs of model quantization on target hardware.

Inferred · not functionally tested

Audience: machine learning engineers and developers optimizing quantized models for edge hardware

Inferred · not functionally tested

Functions: analytics

Inferred · not functionally tested

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

Recorded constraints: pricing: open_source · license: MIT · platforms: CLI · deployment: cli, self_hosted

Constraint provenance is unknown; confirm requirements with the publisher.

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

quantcost sits in PulseGate's Inference & model serving category. Inferred · not functionally tested: It focuses on measuring the real-world performance, resource usage, and quality tradeoffs of model quantization on target hardware. Inferred · not functionally tested: quantcost is an open-source project aimed at machine learning engineers and developers optimizing quantized models for edge hardware. Basis unknown · not verified: The project is open source (MIT). Basis unknown · not verified: quantcost is available on the command line, and it can be self-hosted.

quantcost first shipped in 2026. Inferred · not functionally tested: Key capabilities include speed benchmarking, size measurement, and memory measurement.

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

Tasks: Inferred · not functionally tested

  • Speed benchmarking
  • Size measurement
  • Memory measurement
  • Quality evaluation
  • Quantization comparison
  • Hardware profiling

Topics: Inferred · not functionally tested

Tags
model-quantizationinference-benchmarkingedge-aihardware-profiling

JSON profile · Text profile · Access guide

Built with & integrations

Runs on
CLISelf-hosted

Trust & compliance

License
MIT
Public signals
HTTPSOpen SourceFree tier

Indexing history

1

What PulseGate has recorded for this listing

  1. Indexed2 Oct · 13:51 UTC
    quantcost seen via PyPI Bulk Enumerator
    Source: PyPI Bulk Enumerator · Open

Frequently asked questions about quantcost

What does quantcost do?
Inferred · not functionally tested: Quantcost focuses on measuring the real-world performance, resource usage, and quality tradeoffs of model quantization on target hardware. It is catalogued under Inference & model serving on PulseGate.
Who is quantcost for?
Inferred · not functionally tested: quantcost is an open-source project built for machine learning engineers and developers optimizing quantized models for edge hardware.
Does quantcost have a free plan?
Basis unknown · not verified: Yes — quantcost is open source under the MIT license and free to use.
What platforms does quantcost run on?
Basis unknown · not verified: quantcost runs on the command line. It can also be self-hosted.
Is quantcost still active?
PulseGate's liveness check found it on 2 Oct 2026.
What projects are similar to quantcost?
Similar projects tracked by PulseGate include mflux-teacache, TokenRouter, and GPUYard.mflux-teacacheTokenRouterGPUYard
How long has quantcost been around?
quantcost first shipped in 2026.
Is quantcost open source?
Basis unknown · not verified: Yes — quantcost is open source under the MIT license.

Also in Inference & model serving

Same category — not a similarity match