Nix

Nix

NixOS
+
+

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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.

About

Nix is a tool that takes a unique approach to package management and system configuration. Learn how to make reproducible, declarative, and reliable systems. Nix builds packages in isolation from each other. This ensures that they are reproducible and don't have undeclared dependencies, so if a package works on one machine, it will also work on another. Nix makes it trivial to share development and build environments for your projects, regardless of what programming languages and tools you’re using. Nix ensures that installing or upgrading one package cannot break other packages. It allows you to roll back to previous versions and ensures that no package is in an inconsistent state during an upgrade. Nix is a purely functional package manager. This means that it treats packages like values in purely functional programming languages such as Haskell, they are built by functions that don’t have side effects, and they never change after they have been built.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Companies looking for an open source platform solution for the machine learning lifecycle

Audience

Professionals and any user seeking a solution to manage their reproducible builds and deployments

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

MLflow
Founded: 2018
United States
mlflow.org

Company Information

NixOS
Netherlands
nixos.org

Alternatives

Union Cloud

Union Cloud

Union.ai

Alternatives

DVC

DVC

iterative.ai

Categories

Categories

Integrations

Azure Marketplace
Azure Machine Learning
Comet LLM
Cranium
Databricks Data Intelligence Platform
Defang
Echidna
Flox
Kubernetes
Modulos AI Governance Platform
OpenMetadata
RapidSOS
Replit
Robust Intelligence
TensorFlow
TrueFoundry
Union Cloud
Unity Catalog
conDati
lakeFS

Integrations

Azure Marketplace
Azure Machine Learning
Comet LLM
Cranium
Databricks Data Intelligence Platform
Defang
Echidna
Flox
Kubernetes
Modulos AI Governance Platform
OpenMetadata
RapidSOS
Replit
Robust Intelligence
TensorFlow
TrueFoundry
Union Cloud
Unity Catalog
conDati
lakeFS
Claim MLflow and update features and information
Claim MLflow and update features and information
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Claim Nix and update features and information