Trackio

C 69 completed
Library
monorepo / python · small
178
Files
24,094
LOC
1
Frameworks
11
Languages

Pipeline State

completed
Run ID
#343737
Phase
done
Progress
1%
Started
Finished
2026-04-13 01:31:02
LLM tokens
0

Pipeline Metadata

Stage
Cataloged
Decision
proceed
Novelty
60.67
Framework unique
Isolation
Last stage change
2026-05-10 03:35:28
Deduplication group #52059
Member of a group with 20 similar repo(s) — canonical #2304 view group →
Top concepts (2)
Project DescriptionTesting
Repobility's GitHub App fixes findings like these · https://github.com/apps/repobility-bot

AI Prompt

Create a lightweight, local-first Python library for tracking machine learning experiments, similar to what Trackio does. The tool should allow users to log, visualize, and share results without needing external services. Key features to include are an API compatible with `wandb.init` and `wandb.log`, a local dashboard view using Gradio, and a CLI interface for querying experiment data. Since it's local-first, it should persist logs in a SQLite database by default.
python mlops experiment-tracking gradio sqlite cli local-first machine-learning
Generated by gemma4:latest

Catalog Information

A lightweight, local-first library for tracking machine learning experiments, enabling users to log, visualize, and share results without external services.

Description

This library provides a simple interface for logging hyperparameters, metrics, and artifacts during training runs. It stores data locally in a structured format that can be queried and visualized with built‑in tools. Interactive dashboards are generated using a web UI, allowing users to explore training curves and compare runs side‑by‑side. The design emphasizes minimal dependencies and quick setup, making it suitable for rapid experimentation. It also supports exporting results to common formats for sharing with collaborators.

الوصف

توفر هذه المكتبة واجهة بسيطة لتسجيل المعلمات الفائقة، والقياسات، والملفات المرفقة أثناء عمليات التدريب. تُخزن البيانات محليًا في تنسيق منظم يمكن استعلامه وتصوره باستخدام أدوات مدمجة. تُنشئ لوحات معلومات تفاعلية عبر واجهة ويب، مما يتيح للمستخدمين استكشاف منحنيات التدريب ومقارنة الجلسات جنبًا إلى جنب. يركز التصميم على الحد الأدنى من الاعتمادات وإعداد سريع، مما يجعلها مناسبة للتجارب السريعة. كما تدعم تصدير النتائج إلى صيغ شائعة لمشاركتها مع الزملاء.

Novelty

7/10

Tags

experiment-tracking local-first visualization data-logging ml-reproducibility lightweight-analytics interactive-dashboards

Technologies

gradio numpy pandas playwright plotly

Claude Models

claude-opus-4.6 claude-sonnet-4.5

Quality Score

C
68.7/100
Structure
79
Code Quality
62
Documentation
80
Testing
75
Practices
50
Security
67
Dependencies
60

Strengths

  • CI/CD pipeline configured (github_actions)
  • Good test coverage (33% test-to-source ratio)
  • Code linting configured (ruff (possible))
  • Properly licensed project

Weaknesses

  • 2 files with critical complexity need refactoring
  • 2379 duplicate lines detected \u2014 consider DRY refactoring
  • 6 'god files' with >500 LOC need decomposition

Recommendations

  • Address 44 TODO/FIXME items \u2014 consider tracking them as issues

Security & Health

20.6h
Tech Debt (C)
A
OWASP (100%)
PASS
Quality Gate
A
Risk (2)
Powered by Repobility — scan your code at https://repobility.com
MIT
License
9.7%
Duplication
Full Security Report AI Fix Prompts SARIF SBOM

Languages

python
69.2%
markdown
14.1%
json
6.0%
yaml
5.2%
javascript
2.2%
go
1.5%
rust
1.3%
toml
0.5%
shell
0.0%
text
0.0%
typescript
0.0%

Frameworks

pytest

Concepts (2)

Open data · scored by Repobility · https://repobility.com
CategoryNameDescriptionConfidence
Repobility analyzer · published findings · https://repobility.com
auto_descriptionProject Description![trackio-backend](https://github.com/gradio-app/trackio/actions/workflows/test.yml) ![PyPI downloads](https://pypi.org/project/trackio/) ![PyPI](https://pypi.org/project/trackio/)80%
auto_categoryTestingtesting70%

Quality Timeline

1 quality score recorded.

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