traceopt-ai/traceml
Find why PyTorch training is slow, compare runs, and catch performance regressions in CI.
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+10
STARS · LAST 30 DAYS
1
PER DAY
#1,214
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +0 | +10 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +2 | +3 | +10 |
traceml gained 10 stars in the last 30 days, about 1 a day, and now has 185. It is about 1 year old and has averaged roughly 185 stars a year. It ranks #1,214 among Python repositories and #9,903 across all languages on GitHubRepo.
Trending Record
8
DAYS ON TRENDING
#5999
BEST RANK
Sep 29, 2026
FIRST APPEARANCE
Active
STATUS TODAY
traceml has maintained a continuous presence across global trending indexes, peaking at #5999. Below is the 30-day activity profile:
💡 Overview
traceml is an open-source project written in Python: Open-source performance diagnostics for PyTorch training runs.
Engineered for speed, consistency, and developer ease, it solves common hurdles in cuda, dataloader, ddp. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.
⚡ Key Features
Optimized execution pipeline written in Python for predictable speed.
Zero-friction configuration with comprehensive sensible defaults out of the box.
Cross-platform runtime support across Linux, macOS, and Windows environments.
Strong typing and modular architecture designed for easy extension and maintainability.
Standardized CLI and API interfaces for smooth integration into CI/CD workflows.
Active community maintenance with regular dependency updates and security patches.
📥 Installation
$ pip install traceml⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Python >= 3.9, pip, virtualenv
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
traceml coordinates its core functionality through a modular Python pipeline. It parses configuration parameters, validates inputs, and resolves dependencies asynchronously. By minimizing runtime overhead and keeping allocations localized, it delivers predictable performance in both local development environments and automated production workloads.
🎯 Production Use Cases
Autonomous AI Agents
Orchestrate intelligent workflows and tool-calling routines with traceml.
Model Inference & Prompting
Integrate fast, local or cloud-hosted generative AI models directly into production code.
Context Memory & RAG
Augment language models with dynamic vector retrieval and structured project memory.
Developer Productivity
Automate repetitive engineering tasks, code generation, and test creation using AI agents.
🚀 Getting Started
Install traceml using your package manager: `pip install traceml`
Initialize your project workspace or configuration file for traceml.
Import traceml into your codebase or invoke it directly from your terminal.
Execute your test suite or run `traceml --help` to verify successful setup.
👍 Strengths
⚠️ Considerations
⇄ Alternatives & Direct Competitors
👥 Who Should Use This
Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads.
🏆 Nearby in the Rankings
traceopt-ai/traceml is currently ranked #9,903 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #9,886 | silentmatt/javascript-biginteger | JavaScript | ★ 186 | Compare ↗ |
| #9,886 | f055/fedit-image-editor | C++ | ★ 186 | Compare ↗ |
| #9,886 | rikrd/geomerative | Java | ★ 186 | Compare ↗ |
| #9,886 | mitkox/esf | Go | ★ 186 | Compare ↗ |
| #9,886 | kubeflow/hub | Go | ★ 186 | Compare ↗ |
| #9,903 | traceopt-ai/traceml This Project | Python | ★ 185 | |
| #9,903 | rhythmcache/Dioxamine | Kotlin | ★ 185 | Compare ↗ |
| #9,903 | survev/survev | TypeScript | ★ 185 | Compare ↗ |
| #9,903 | nikolai-vysotskyi/trace-mcp | TypeScript | ★ 185 | Compare ↗ |
| #9,903 | PerpetualSoftware/pad | Go | ★ 185 | Compare ↗ |
| #9,903 | shairontoledo/rghost | Ruby | ★ 185 | Compare ↗ |
Frequently Asked Questions
What does traceml do? +
Find why PyTorch training is slow, compare runs, and catch performance regressions in CI.
What language is traceml written in? +
The primary language is Python. Topics include: cuda, dataloader, ddp, deep-learning, deepspeed.
Is traceml actively maintained? +
Yes, the last recorded push was on Oct 5, 2026 with 38 open issues being tracked.
How many stars does traceml have? +
traceml has 185 stars and 29 forks on GitHub.
How does traceml rank among GitHub repositories? +
With 185 stars, traceopt-ai/traceml is ranked #9,903 globally across all repositories tracked on GitHubRepo and #1,214 among Python projects.
What license is traceml distributed under? +
The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.
