OpenCode ZenOpenCode
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Related Products
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About
MLflow is an open source platform to manage the ML lifecycle, including experimentation, reproducibility, deployment, and a central model registry. MLflow currently offers four components. Record and query experiments: code, data, config, and results. Package data science code in a format to reproduce runs on any platform. Deploy machine learning models in diverse serving environments. Store, annotate, discover, and manage models in a central repository. The MLflow Tracking component is an API and UI for logging parameters, code versions, metrics, and output files when running your machine learning code and for later visualizing the results. MLflow Tracking lets you log and query experiments using Python, REST, R API, and Java API APIs. An MLflow Project is a format for packaging data science code in a reusable and reproducible way, based primarily on conventions. In addition, the Projects component includes an API and command-line tools for running projects.
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About
OpenCode Zen is an AI gateway that gives coding agents access to a curated set of reliable, optimized AI models tested and verified by the OpenCode team. It is designed to solve the inconsistency that comes from the large number of available models and the different ways providers configure and serve them, which can lead to varying performance and quality. The team tests a select group of models, works directly with model teams and providers to determine how they should be run, verifies that they are served correctly, and benchmarks each model-provider combination before recommending it. Zen works like any other provider in OpenCode: users connect with an API key and can view the recommended model list directly in the interface. It is completely optional and can also be used with other coding agents, helping developers avoid lock-in while still accessing validated model configurations.
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Audience
Companies looking for an open source platform solution for the machine learning lifecycle
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Audience
Developers and coding-agent users seeking to access tested, benchmarked AI models with consistent performance across providers and tools
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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API
Offers API
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API
Offers API
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
No information available.
Free Version
Free Trial
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Pricing
Free
Free Version
Free Trial
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Reviews/
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Reviews/
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Company InformationMLflow
Founded: 2018
United States
mlflow.org
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Company InformationOpenCode
Founded: 2025
United States
opencode.ai/zen
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Alternatives |
Alternatives |
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Categories |
Categories |
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Integrations
Apolo
Azure Machine Learning
Azure Marketplace
Cranium
CrateDB
Dagster
Flyte
GLM-5.3
Gemini
H2O.ai
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Integrations
Apolo
Azure Machine Learning
Azure Marketplace
Cranium
CrateDB
Dagster
Flyte
GLM-5.3
Gemini
H2O.ai
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