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Requires Python: >=3.7.0

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License

OSI Approved :: Apache Software License

Programming Language

Python
Python :: 3
Python :: 3.7
Python :: 3.8
Python :: 3.9
Python :: 3.10
Python :: 3.11
Python :: Implementation :: PyPy

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⚡ ⚡ Aim 4.0 stable has been released! ⚡ ⚡ !!

Open-source modular observability for AI Systems.

Easily log, connect and observe any parts of your AI Systems from experiments to production to prompts to AI system monitoring.

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_{TRUSTED BY ML TEAMS FROM:}

AimStack offers enterprise support that's beyond core Aim. Contact via hello@aimstack.io e-mail.

About • Demos • Default logging apps • Quick Start • Examples • Documentation • Community • Blog •

ℹ️ About

Aim is an open-source operating system for logs. With Aim you can build, run and combine any kind of logging applications - experiment tracking, production monitoring, AI System (LLM-based) monitoring, usage monitoring etc.

Log Metadata Across Your ML Pipeline 💾	Visualize & Compare Metadata via UI 📊
ML experiments and any metadata tracking Integration with popular ML frameworks Easy migration from other experiment trackers	Metadata visualization via Aim Explorers Grouping and aggregation Querying using Python expressions
Run ML Trainings Effectively ⚡	Organize Your Experiments 🗂️
System info and resource usage tracking Real-time alerting on training progress (upcoming)	Detailed run information for easy debugging Centralized dashboard for holistic view

Tracing LangChain-based chatbot executions View Demo \| View Code	Tracing LlamaIndex query executions View Demo \| View Code

Tracking PyTorch-based CNN trainings View Demo \| View Code

App Name	Description	Category	Docs	Source
base	Base Aim app for general observability over anything logged with Aim. Includes base types to log common artifacts, such as Image, Audio object, Figure, Metric.	Base	docs	source
docs	Use this Aim app to access Aim docs.	Docs	-	source
langchain_debugger	Debugger for LangChain that logs LLMs prompts and generations, tools inputs/outputs, and chains metadata.	AI Systems Tracing	docs	source
llamaindex_observer	Debugger and observer for LlamaIndex. Logs metadata like retrieval nodes, queries and responses, embeddings chunks, etc.	AI Systems Tracing	docs	source
experiment_tracker	App for tracking and exploring ML experiments. Integrations with various ML libraries, including Acme, CatBoost, fastai, Hugging Face Transformers, Keras, Keras Tuner, LightGBM, MXNet, Optuna, PaddlePaddle, PyTorch Ignite, SDB3, and XGBoost.	Experiment Tracking	docs	source

Platform	CPython 3.7	CPython 3.8	CPython 3.9	CPython 3.10	CPython 3.11
macosx_10_14_x86_64
macosx_11_0_arm64
manylinux2014_x86_64
manylinux_2_17_x86_64
manylinux_2_24_x86_64

Visualize all the logs ever logged with Aim for the given project 🗺️
Base types to log common artifacts such as Images, Audio objects, Figures, Metrics
High-level overview of the logs, the types logged and the respective sessions/ containers
Deep-dive into each type of the log

aim 4.0.3

License

Programming Language

Open-source modular observability for AI Systems.

About • Demos • Default logging apps • Quick Start • Examples • Documentation • Community • Blog •

ℹ️ About

Base App

Experiment Tracking App

AI Systems Tracing Apps

🎬 Demos

Tracing LangChain-based chatbot executions

Tracing LlamaIndex query executions

Tracking PyTorch-based CNN trainings

🌍 Default logging apps

🏁 Quick start

1. Install Aim on your training environment

2. Integrate Aim with your code

3. Start Aim server

4. Start Aim UI

🛣️ Roadmap

👥 Community

Aim README badge

Cite Aim in your papers

Contributing to Aim

More questions?

Wheel compatibility matrix

Files in release