GraphCanon updated 2w · GitHub synced 2w
Decision brief
ClearML is an MLOps LLMOps solution that streamlines AI workloads through comprehensive experiment management, data handling, pipeline orchestration, and model serving under one platform.
Good fit when
- When you require a single platform for managing experiments, orchestrating pipelines, and serving models in your AI projects
- If your project involves both traditional machine learning workflows and newer LLM-based operations, as ClearML supports LLMOps
Avoid when
- Avoid if you need deep support for languages other than Python since ClearML is primarily built around Python
- Consider alternatives if your MLOps needs do not include a centralized orchestration platform, as ClearML emphasizes integrated solutions
Observed Jul 14, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Active (7d since push)
- As of 2w
- Provenance
- Not a fork · Organization account
- As of 2w
- Security (OSV)
- 119 low (119 low)
- As of 1mo
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
pip install clearmlHow it fits your stack(11)
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Integrates
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mlflow27k★
langflow153k★
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daytona72k★
llm-app59k★
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LLMs-from-scratch103k★mlflow27k★langflow153k★vllm88k★OpenHands84k★daytona72k★llm-app59k★Flowise55k★CowAgent47k★LLMs-from-scratch103k★Similar tools
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Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
ClearML offers comprehensive experiment and data management along with orchestration and serving features under one platform.
Capability facts
- Languages
- python
Source: github.language · Aug 3, 2026
Categories
Tags
README
License
Apache License, Version 2.0 (see the LICENSE for more information)
If ClearML is part of your development process / project / publication, please cite us :heart: :
@misc{clearml,
title = {ClearML - Your entire MLOps stack in one open-source tool},
year = {2024},
note = {Software available from http://github.com/clearml/clearml},
url={https://clear.ml/},
author = {ClearML},
}
For agents
This page has a .md twin and JSON over the API.