Comet builds the infrastructure teams use to develop, evaluate, and improve modern AI applications.
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The GitHub presence of Comet, known by the username comet-ml, showcases a wide range of repositories focused on AI application development and evaluation. Key projects include opik, which aids in monitoring LLM applications, and kangas, which facilitates multimedia dataset exploration, primarily utilizing languages such as Python, TypeScript, and Jupyter Notebook.
Debug, evaluate, and monitor your LLM applications, RAG systems, and agentic workflows with comprehensive tracing, automated evaluations, and production-ready dashboards.
🦘 Explore multimedia datasets at scale
🦞 Official plugin for OpenClaw that exports agent traces to Opik. See and monitor agent behaviour, cost, tokens, errors and more.
Model Context Protocol (MCP) implementation for Opik enabling seamless IDE integration and unified access to prompts, projects, traces, and metrics.
Examples of Machine Learning code using Comet.ml
Questions, Help, and Issues for Comet ML
Comet-For-MLFlow Extension
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Open source contributions for integrations with comet_ml
Comet SDK for R
A local streamlit server for Jupyter environments
Comet Java SDK
CO2 Tracker helpers
Useful code snippets + demo examples for Opik
The AI Native AI-Native Framework
Opik skills for integration and instrumentation
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A converter to transform R docs into markdown
Scout is a Github Repository Agent that can respond to issues
This is a simple Spring AI Chatbot REST application that uses the OpenAI API to answer questions and OPIK server for observability and tracing.
Python SDK, Proxy Server to call 100+ LLM APIs using the OpenAI format - [Bedrock, Azure, OpenAI, VertexAI, Cohere, Anthropic, Sagemaker, HuggingFace, Replicate, Groq]
Scripts for fine-tuning Meta Llama with composable FSDP & PEFT methods to cover single/multi-node GPUs. Supports default & custom datasets for applications such as summarization and Q&A. Supporting a number of candid inference solutions such as HF TGI, VLLM for local or cloud deployment. Demo apps to showcase Meta Llama for WhatsApp & Messenger.
This repo was replaced by opik: https://github.com/comet-ml/opik
Python library for invoking anisble playbooks from within other python programs
Example for using Ray Tune's Comet Integration
The small Python library to read resources available for Linux OS container.
An MCP for comet_ml Experiments
Comet helm chart for mysql
Otel observability for n8n - Built by the Opik team, available to everyone
Agent Optimization with Opik
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Tool to sync for Claude Code chats to Opik
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LlamaIndex is a data framework for your LLM applications
User-friendly query builder for React
Terraform module for deploying Single-Tenant SaaS deployments
Nycto is a Github Repository Agent that can respond to issues
A cookiecutter template for ML projects using `comet-ml`. Including setup for agentic development (`AGENT.md`, `.claude/rules`, `.claude/skills`)
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This repository contains public Helm Charts for commonly used software
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Utilities for creating and debugging MCP tools, built on Opik
Docker image packaging for Apache Zookeeper
Video datasets from Pixabay for Opik - includes URL and base64-encoded versions with metadata for LLM training and evaluation
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The lightweight PyTorch wrapper for ML researchers. Scale your models. Write less boilerplate
An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.
docker-iops is a Docker tool for IO benchmarking; it contains Fio and IOPing.
GitHub action which creates and runs and EC2 instance
Front-end for the Open edX course experience, implemented using React and Paragon.
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Apache Druid: a high performance real-time analytics database.
MIRROR of https://git.sdf.org/CRThaze/git-semver-compute
REST endpoint app
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Utility files for live coding sessions
Action to find the sha of the last successful workflow of a branch.
Comet ML code
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Open edX micro-frontend application for new login and registration experience.
The Open edX LMS & Studio, powering education sites around the world!
Authenticate an nginx request against an SQL database
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Comet-ml builds tools and libraries for AI applications on GitHub, focusing on infrastructure for model evaluation and monitoring. Notable repositories include opik for LLM application monitoring and kangas for multimedia dataset exploration.
Comet-ml primarily uses Python, TypeScript, JavaScript, Java, Jupyter Notebook, and Go Template in their public repositories. This diverse language use supports their various projects aimed at enhancing AI development.
Yes, comet-ml's repositories are public, allowing open access to their projects and contributions. This transparency enables collaboration and community engagement in the field of AI application development.
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