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log-ui

PyPIInfrastructure

PulseGate's liveness check found it on 5 Oct 2026; it is registered on GitHub and PyPI and has been in the index since 5 Oct 2026. How this is checked

log-ui is an open-source, self-hosted web dashboard for viewing and analyzing experiment data stored in Trackio experiment stores. It provides a W&B-style interface for machine-learning researchers and developers managing deep-learning runs.

Inferred · not functionally tested

Open SourceMITCLIWebSelf-hosted
Visit PyPI

Overview

5 features

Purpose: Viewing and comparing Trackio machine-learning experiment data without relying on a hosted tracking service.

Inferred · not functionally tested

Audience: machine-learning researchers and developers

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, browser, 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.

log-ui is an Other data science & ML project. Inferred · not functionally tested: It focuses on viewing and comparing Trackio machine-learning experiment data without relying on a hosted tracking service. Inferred · not functionally tested: log-ui is an open-source project aimed at machine-learning researchers and developers. Basis unknown · not verified: log-ui is open source under the MIT license. Basis unknown · not verified: It runs on the command line and the web, and it can be self-hosted.

Behind log-ui is Aaditya Salgarkar, and it first shipped in 2026. Development happens publicly on GitHub with 49 commits in the last 90 days. Inferred · not functionally tested: Among its 5 catalogued features are Experiment Dashboard, Run Tracking, and Experiment Comparison.

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

Tasks: Inferred · not functionally tested

  • Experiment Dashboard
  • Run Tracking
  • Experiment Comparison
  • Self-hosted Deployment
  • Trackio Support

Topics: Inferred · not functionally tested

Tags
experiment-trackingtrackio-dashboarddeep-learningself-hosted-analytics

JSON profile · Text profile · Access guide

Built with & integrations

Framework
FastAPI
Runs on
CLIBrowserSelf-hosted

Trust & compliance

License
MIT
Public signals
HTTPSOpen SourceGitHubActive maintenance

Indexing history

1

What PulseGate has recorded for this listing

  1. Indexed5 Oct · 11:22 UTC
    log-ui seen via PyPI Bulk Enumerator
    Source: PyPI Bulk Enumerator · Open

Frequently asked questions about log-ui

What does log-ui do?
Inferred · not functionally tested: Log-ui focuses on viewing and comparing Trackio machine-learning experiment data without relying on a hosted tracking service. It is catalogued under Other data science & ML on PulseGate.
Who should use log-ui?
Inferred · not functionally tested: log-ui is an open-source project built for machine-learning researchers and developers.
Is log-ui free?
Basis unknown · not verified: Yes — log-ui is open source under the MIT license and free to use.
What platforms does log-ui run on?
Basis unknown · not verified: log-ui runs on the command line and the web. It can also be self-hosted.
Is log-ui still maintained?
PulseGate's liveness check found it on 5 Oct 2026. Its GitHub repository shows 49 commits in the last 90 days.
What are alternatives to log-ui?
Similar projects tracked by PulseGate include tagaudit, QuakePy, and zebsdsolve.tagauditQuakePyzebsdsolve
Who develops log-ui?
log-ui is developed by Aaditya Salgarkar.
How long has log-ui been around?
log-ui first shipped in 2026.

Also in Other data science & ML

Same category — not a similarity match