tlog-ml
tlog-ml is an open-source CLI tool for logging, reviewing, and commenting on machine learning experiments directly in the terminal. It supports full-resolution images, markdown, and an editor-based feedback loop, making it ideal for ML engineers who prefer local-first workflows. The tool is MIT-licensed and integrates with popular ML pipelines.
Overview
5 featuresIn the CLI tools & terminal space, tlog-ml takes a focused approach. It focuses on tracking and reviewing machine learning experiments locally with rich terminal-based tools. It is built as an open-source project for machine learning engineers. The project is open source (MIT). It runs on the command line.
tlog-ml first shipped in 2026. The project is developed in the open on GitHub with 7 commits in the last 90 days. Key capabilities include experiment logging, terminal review, and image/Markdown support.
Summary written by a language model from the project’s public pages.
- Experiment logging
- Terminal review
- Image/Markdown support
- Editor-based feedback
- Local-first storage
Built with & integrations
Trust & compliance
Indexing history
1What PulseGate has recorded for this listing
- Indexed30 Jun · 14:22 UTCtlog-ml verified via PyPI Bulk EnumeratorSource: PyPI Bulk Enumerator · Open
Frequently asked questions about tlog-ml
- What does tlog-ml do?
- Tlog-ml focuses on tracking and reviewing machine learning experiments locally with rich terminal-based tools. It is catalogued under CLI tools & terminal on PulseGate.
- Who should use tlog-ml?
- tlog-ml is an open-source project built for machine learning engineers.
- Does tlog-ml have a free plan?
- Yes — tlog-ml is open source under the MIT license and free to use.
- What platforms does tlog-ml run on?
- tlog-ml runs on the command line.
- Is tlog-ml still active?
- The GitHub repository shows 7 commits in the last 90 days.
- When did tlog-ml launch?
- tlog-ml first shipped in 2026.
- Is tlog-ml open source?
- Yes — tlog-ml is open source under the MIT license, developed on GitHub.
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