trainjudge
PulseGate's liveness check found it on 25 Sep 2026; it is registered on PyPI and has been in the index since 25 Sep 2026. How this is checked
trainjudge is an open-source Python package for deciding whether fine-tuning is the right approach and evaluating whether it improves task-specific metrics. It is intended for developers and ML practitioners working with language-model fine-tuning workflows.
Inferred · not functionally tested
Overview
4 featuresPurpose: Determining whether fine-tuning is needed and verifying model improvements with task-specific evaluation metrics.
Inferred · not functionally tested
Audience: developers and machine learning practitioners
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: Apache-2.0 · 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.
trainjudge sits in PulseGate's Fine-tuning & training category. Inferred · not functionally tested: It focuses on determining whether fine-tuning is needed and verifying model improvements with task-specific evaluation metrics. Inferred · not functionally tested: It is built as an open-source project for developers and machine learning practitioners. Basis unknown · not verified: trainjudge is open source under the Apache-2.0 license. Basis unknown · not verified: It ships for the command line, and it can be self-hosted.
trainjudge first shipped in 2026. Inferred · not functionally tested: Among its 4 catalogued features are fine-tuning assessment, task metric evaluation, and model comparison.
Summary written by a language model from the project’s public pages.
Tasks: Inferred · not functionally tested
- Fine-tuning assessment
- Task metric evaluation
- Model comparison
- LoRA workflow support
Topics: Inferred · not functionally tested
Built with & integrations
Trust & compliance
Indexing history
3What PulseGate has recorded for this listing
- Indexed25 Sep · 19:31 UTCtrainjudge seen via PyPI Bulk EnumeratorSource: PyPI Bulk Enumerator · Open
Frequently asked questions about trainjudge
- What is trainjudge?
- Inferred · not functionally tested: Trainjudge focuses on determining whether fine-tuning is needed and verifying model improvements with task-specific evaluation metrics. It is catalogued under Fine-tuning & training on PulseGate.
- Who should use trainjudge?
- Inferred · not functionally tested: trainjudge is an open-source project built for developers and machine learning practitioners.
- Does trainjudge have a free plan?
- Basis unknown · not verified: Yes — trainjudge is open source under the Apache-2.0 license and free to use.
- What platforms does trainjudge run on?
- Basis unknown · not verified: trainjudge runs on the command line. It can also be self-hosted.
- Is trainjudge still active?
- PulseGate's liveness check found it on 25 Sep 2026.
- What projects are similar to trainjudge?
- Similar projects tracked by PulseGate include temaq-abliterated, heulistic, and m37labs-slm-forge.temaq-abliteratedheulisticm37labs-slm-forge
- How long has trainjudge been around?
- trainjudge first shipped in 2026.
- Is trainjudge open source?
- Basis unknown · not verified: Yes — trainjudge is open source under the Apache-2.0 license.
Also in Fine-tuning & training
Same category — not a similarity match