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About

​LiteLLM is a versatile platform designed to streamline interactions with over 100 Large Language Models (LLMs) through a unified interface. It offers both a Proxy Server (LLM Gateway) and a Python SDK, enabling developers to integrate various LLMs seamlessly into their applications. The Proxy Server facilitates centralized management, allowing for load balancing, cost tracking across projects, and consistent input/output formatting compatible with OpenAI standards. This setup supports multiple providers. It ensures robust observability by generating unique call IDs for each request, aiding in precise tracking and logging across systems. Developers can leverage pre-defined callbacks to log data using various tools. For enterprise users, LiteLLM offers advanced features like Single Sign-On (SSO), user management, and professional support through dedicated channels like Discord and Slack.

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.

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

Teams searching for a solution to integrate multiple LLMs into their content creation workflows

Audience

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

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

Free
Free Version
Free Trial

Pricing

No information available.
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

LiteLLM
United States
www.litellm.ai/

Company Information

MLflow
Founded: 2018
United States
mlflow.org

Alternatives

Alternatives

Union Cloud

Union Cloud

Union.ai
Vertex AI

Vertex AI

Google

Categories

Categories

Integrations

Amazon SageMaker
Databricks Data Intelligence Platform
Docker
Anyscale
Azure Marketplace
Codestral
Fireworks AI
Gemini
Kedro
Kubernetes
LiteLLM
Microsoft Azure
NVIDIA AI Enterprise
Perplexity
RapidSOS
Slack
UbiOps
Vectice
Voyage AI
conDati

Integrations

Amazon SageMaker
Databricks Data Intelligence Platform
Docker
Anyscale
Azure Marketplace
Codestral
Fireworks AI
Gemini
Kedro
Kubernetes
LiteLLM
Microsoft Azure
NVIDIA AI Enterprise
Perplexity
RapidSOS
Slack
UbiOps
Vectice
Voyage AI
conDati
Claim LiteLLM and update features and information
Claim LiteLLM and update features and information
Claim MLflow and update features and information
Claim MLflow and update features and information