{ "info": { "author": "", "author_email": "", "bugtrack_url": null, "classifiers": [ "License :: OSI Approved :: Apache Software License", "Programming Language :: Python", "Programming Language :: Python :: 3", "Programming Language :: Python :: 3.10", "Programming Language :: Python :: 3.11", "Programming Language :: Python :: 3.7", "Programming Language :: Python :: 3.8", "Programming Language :: Python :: 3.9", "Programming Language :: Python :: Implementation :: PyPy" ], "description": "
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Drop a star to support AimOS \u2b50\n Join AimOS discord community\n \n
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\n Open-source modular observability for AI Systems.\n

\n \n Easily log, connect and observe any parts of your AI Systems from experiments to production to prompts to AI system monitoring.\n \n
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\n \n [![Discord Server](https://dcbadge.vercel.app/api/server/zXq2NfVdtF?compact=true&style=flat)](https://community.aimstack.io/)\n [![Twitter Follow](https://img.shields.io/twitter/follow/aimstackio?style=social)](https://twitter.com/aimstackio)\n [![Medium](https://img.shields.io/badge/Medium-12100E?style=flat&logo=medium&logoColor=white)](https://medium.com/aimstack)\n \n [![Platform Support](https://img.shields.io/badge/platform-Linux%20%7C%20macOS-blue)]()\n [![PyPI - Python Version](https://img.shields.io/badge/python-%3E%3D%203.7-blue)](https://pypi.org/project/aimos/)\n [![PyPI Package](https://img.shields.io/pypi/v/aimos?color=yellow)](https://pypi.org/project/aimos/)\n [![License](https://img.shields.io/badge/License-Apache%202.0-orange.svg)](https://opensource.org/licenses/Apache-2.0)\n [![PyPI Downloads](https://img.shields.io/pypi/dw/aimos?color=green)](https://pypi.org/project/aimos/)\n [![Issues](https://img.shields.io/github/issues/aimhubio/aimos)](http://github.com/aimhubio/aimos/issues)\n \n
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\n AimStack offers enterprise support that's beyond core AimOS. Contact via hello@aimstack.io e-mail.\n

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\n About •\n Demos •\n Default logging apps •\n Quick Start •\n Examples •\n Community •\n Blog •\n

\n\n---\n\n# \u2139\ufe0f About\n\nAimOS is an open-source operating system for logs. \nWith AimOS you can build, run and combine any kind of logging applications - experiment tracking, production monitoring, AI System (LLM-based) monitoring, usage monitoring etc.\n\nThe Logging applications are typically a combination of these components: \n\n- The types and relationships of the data being logged\n- The observability UI over the data logged\n- Automations over the data logged\n\n\nAimOS comes installed with a number of default logging apps:\n\n- Base App - a basic generic log exploration and the logging primitives\n- AI Experiment Tracking App - log and explore your machine learning experiments. Includes integrations with the majority of leading ML frameworks.\n- AI Systems Tracing and Debugging Apps - a combination of variety of apps that log from langchain to llamaindex traces all in one place.\n\nApart from running the logging apps, AimOS comes with explorers and reports.\n\n- Explorers are advanced logs comparison tools for specific kind of logs - they allow to compare 1000s of sessions of metrics, images, text, audio and other types of data.\n- Reports are embedded knowledge-base that operate with the apps and explorers seamlessly to enable capture the knowledge built on top of the logged data from the observations through AimOS apps and explorers.\n\nWith the rise of AI Systems and the challenges it brings forward, logging apps are going to be a crucial part of the software. \n\nOur mission is to democratize developer tools for building AI.\n\n
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\n\n### Base App\n\nA general observability over anything logged with AimOS.\n\n| Visualize all the logs ever logged with AimOS for the given project \ud83d\uddfa\ufe0f |\n| --- |\n| Base types to log common artifacts such as Images, Audio objects, Figures, Metrics |\n| High-level overview of the logs, the types logged and the respective sessions/ containers |\n| Deep-dive into each type of the log |\n\n### Experiment Tracking App\n\n
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Log Metadata Across Your ML Pipeline \ud83d\udcbeVisualize & Compare Metadata via UI \ud83d\udcca
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  • Metadata visualization via AimOS Explorers
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  • Grouping and aggregation
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Run ML Trainings Effectively \u26a1Organize Your Experiments \ud83d\uddc2\ufe0f
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  • System info and resource usage tracking
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\n\n### AI Systems Tracing Apps\n\n
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Log Inputs, Outputs and Actions of Executions \ud83e\udd16Visualize & Compare Executions Steps via UI \ud83d\udd0d
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  • Track all the prompts, generations of LLMs
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\n\n# \ud83c\udfac Demos\n\nCheck out live AimOS demos NOW to see it in action.\n\n\n \n \n \n \n \n \n \n \n
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Tracing LangChain-based chatbot executions

\n View Demo  |  \n View Code

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Tracing LlamaIndex query executions

\n View Demo  |  \n View Code

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Tracking PyTorch-based CNN trainings

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\n\n# \ud83c\udf0d Default logging apps\n\nAimOS comes pre-installed with a wide variety of apps. Here is the full list:\n\n| App Name | Description | Category | Docs | Source |\n|----------------------|-----------------------------------------------------------------------------------------------------|----------------------|----------|---------|\n| base | Base AimOS app for general observability over anything logged with AimOS. Includes base types to log common artifacts, such as Image, Audio object, Figure, Metric. | Base | [docs](https://aimstack.readthedocs.io/en/latest/apps/base_app.html) | [source](https://github.com/aimhubio/aimos/tree/main/pkgs/aimstack/base) |\n| docs | Use this AimOS app to access AimOS docs. | Docs | - | [source](https://github.com/aimhubio/aimos/tree/main/pkgs/aimstack/docs) |\n| langchain_debugger | Debugger for LangChain that logs LLMs prompts and generations, tools inputs/outputs, and chains metadata. | AI Systems Tracing | [docs](https://aimstack.readthedocs.io/en/latest/apps/langchain_debugger.html) | [source](https://github.com/aimhubio/aimos/tree/main/pkgs/aimstack/langchain_debugger) |\n| llamaindex_observer | Debugger and observer for LlamaIndex. Logs metadata like retrieval nodes, queries and responses, embeddings chunks, etc. | AI Systems Tracing | [docs](https://aimstack.readthedocs.io/en/latest/apps/llamaindex_observer.html) | [source](https://github.com/aimhubio/aimos/tree/main/pkgs/aimstack/llamaindex_observer) |\n| 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](https://aimstack.readthedocs.io/en/latest/apps/experiment_tracker.html) | [source](https://github.com/aimhubio/aimos/tree/main/pkgs/aimstack/experiment_tracker) |\n\n# \ud83c\udfc1 Quick start\n\nFollow the steps below to get started with AimOS.\n\n## 1. Install AimOS on your training environment\n\n```shell\npip3 install aimos\n```\n\n## 2. Integrate AimOS with your code\n\n```python\nfrom aimstack.base import Run, Metric\n\n# Initialize a new run\nrun = Run()\n\n# Log run parameters\nrun[\"hparams\"] = {\n \"learning_rate\": 0.001,\n \"batch_size\": 32,\n}\n\n# Init a metric\nmetric = Metric(run, name='loss', context={'subset': 'training'})\n\nfor i in range(1000):\n metric.track(i, epoch=1)\n```\n\n## 3. Start AimOS server\n\n```shell\naimos server\n```\n\n## 4. Start AimOS UI\n\n```shell\naimos ui\n```\n\n# \ud83d\udc65 Community\n\n## AimOS README badge\n\nAdd AimOS badge to your README, if you've enjoyed using AimOS in your work:\n\n[![AimOS](https://img.shields.io/badge/powered%20by-AimOS-%231473E6)](https://github.com/aimhubio/aimos)\n\n```\n[![AimOS](https://img.shields.io/badge/powered%20by-AimOS-%231473E6)](https://github.com/aimhubio/aimos)\n```\n\n## Contributing to AimOS\n\nConsidering contibuting to AimOS? \nTo get started, please take a moment to read the [CONTRIBUTING.md](https://github.com/aimhubio/aimos/blob/main/CONTRIBUTING.md) guide. \n\nJoin AimOS contributors by submitting your first pull request. Happy coding! \ud83d\ude0a\n\n\n \n\n\nMade with [contrib.rocks](https://contrib.rocks).\n\n## More questions?\n\n1. [Open a feature request or report a bug](https://github.com/aimhubio/aimos/issues)\n2. 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