{"data":{"node":{"slug":"octoml-octoml-profile","name":"octoml-profile","tagline":"Home for OctoML PyTorch Profiler","github_url":"https://github.com/octoml/octoml-profile","owner":"octoml","repo":"octoml-profile","owner_avatar_url":"https://avatars.githubusercontent.com/u/53242847?v=4","primary_language":null,"stars":113,"forks":10,"topics":[],"archived":false,"github_pushed_at":"2023-04-24T17:58:51+00:00","maintenance_label":"Dormant","url":"https://www.graphcanon.com/tools/octoml-octoml-profile","markdown_url":"https://www.graphcanon.com/tools/octoml-octoml-profile.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/octoml-octoml-profile","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=octoml-octoml-profile"},"categories":[{"slug":"inference-serving","name":"Inference & Serving","url":"https://www.graphcanon.com/categories/inference-serving","markdown_url":"https://www.graphcanon.com/categories/inference-serving.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/inference-serving"},{"slug":"model-training","name":"Model Training","url":"https://www.graphcanon.com/categories/model-training","markdown_url":"https://www.graphcanon.com/categories/model-training.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/model-training"}],"tags":[{"slug":"acceleration","name":"acceleration"},{"slug":"performance-optimization","name":"performance optimization"},{"slug":"profiling","name":"profiling"},{"slug":"pytorch","name":"pytorch"}],"edges":[],"neighbours":[{"slug":"alexsjones-llmfit","name":"llmfit","tagline":"Hundreds of models & providers. One command to find what runs on your hardware.","github_url":"https://github.com/AlexsJones/llmfit","owner":"AlexsJones","repo":"llmfit","owner_avatar_url":"https://avatars.githubusercontent.com/u/1235925?v=4","primary_language":"Rust","stars":31867,"forks":1978,"topics":["gguf","llm","localai","mlx","skill","unsloth"],"archived":false,"github_pushed_at":"2026-08-14T07:36:41+00:00","maintenance_label":"Active","url":"https://www.graphcanon.com/tools/alexsjones-llmfit","markdown_url":"https://www.graphcanon.com/tools/alexsjones-llmfit.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/alexsjones-llmfit","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=alexsjones-llmfit","shared_categories":["model-training"]},{"slug":"lightning-ai-pytorch-lightning","name":"pytorch-lightning","tagline":"Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.","github_url":"https://github.com/Lightning-AI/pytorch-lightning","owner":"Lightning-AI","repo":"pytorch-lightning","owner_avatar_url":"https://avatars.githubusercontent.com/u/58386951?v=4","primary_language":"Python","stars":31267,"forks":3768,"topics":["ai","artificial-intelligence","data-science","deep-learning","machine-learning","python","pytorch"],"archived":false,"github_pushed_at":"2026-08-03T01:13:09+00:00","maintenance_label":"Active","url":"https://www.graphcanon.com/tools/lightning-ai-pytorch-lightning","markdown_url":"https://www.graphcanon.com/tools/lightning-ai-pytorch-lightning.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/lightning-ai-pytorch-lightning","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=lightning-ai-pytorch-lightning","shared_categories":["model-training","inference-serving"]},{"slug":"comet-ml-opik","name":"opik","tagline":"Debug, evaluate, and monitor your LLM applications with comprehensive tracing and production-ready dashboards","github_url":"https://github.com/comet-ml/opik","owner":"comet-ml","repo":"opik","owner_avatar_url":"https://avatars.githubusercontent.com/u/31487821?v=4","primary_language":"Python","stars":21177,"forks":1681,"topics":["evaluation","hacktoberfest","hacktoberfest2025","langchain","llama-index","llm","llm-evaluation","llm-observability","llmops","open-source","openai","playground","prompt-engineering"],"archived":false,"github_pushed_at":"2026-08-07T11:46:34+00:00","maintenance_label":"Active","url":"https://www.graphcanon.com/tools/comet-ml-opik","markdown_url":"https://www.graphcanon.com/tools/comet-ml-opik.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/comet-ml-opik","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=comet-ml-opik","shared_categories":[]},{"slug":"jundot-omlx","name":"omlx","tagline":"LLM inference server with continuous batching and SSD caching for Apple Silicon","github_url":"https://github.com/jundot/omlx","owner":"jundot","repo":"omlx","owner_avatar_url":"https://avatars.githubusercontent.com/u/64250138?v=4","primary_language":"Python","stars":18679,"forks":1617,"topics":["apple-silicon","inference-server","llm","macos","mlx","openai-api"],"archived":false,"github_pushed_at":"2026-08-14T09:12:48+00:00","maintenance_label":"Active","url":"https://www.graphcanon.com/tools/jundot-omlx","markdown_url":"https://www.graphcanon.com/tools/jundot-omlx.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/jundot-omlx","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=jundot-omlx","shared_categories":["inference-serving"]},{"slug":"plasma-umass-scalene","name":"scalene","tagline":"High-performance CPU, GPU, and memory profiler for Python with AI-powered optimization","github_url":"https://github.com/plasma-umass/scalene","owner":"plasma-umass","repo":"scalene","owner_avatar_url":"https://avatars.githubusercontent.com/u/1880823?v=4","primary_language":"Python","stars":13485,"forks":435,"topics":["cpu","cpu-profiling","gpu","gpu-programming","memory-allocation","memory-consumption","performance-analysis","performance-cpu","profiler","profiles-memory","profiling","python","python-profilers","scalene"],"archived":false,"github_pushed_at":"2026-08-01T19:34:24+00:00","maintenance_label":"Active","url":"https://www.graphcanon.com/tools/plasma-umass-scalene","markdown_url":"https://www.graphcanon.com/tools/plasma-umass-scalene.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/plasma-umass-scalene","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=plasma-umass-scalene","shared_categories":[]},{"slug":"huggingface-accelerate","name":"accelerate","tagline":"A tool for launching, training, and using PyTorch models with ease on various devices, configurations, including mixed precision support.","github_url":"https://github.com/huggingface/accelerate","owner":"huggingface","repo":"accelerate","owner_avatar_url":"https://avatars.githubusercontent.com/u/25720743?v=4","primary_language":"Python","stars":9803,"forks":1425,"topics":[],"archived":false,"github_pushed_at":"2026-07-30T11:20:54+00:00","maintenance_label":"Active","url":"https://www.graphcanon.com/tools/huggingface-accelerate","markdown_url":"https://www.graphcanon.com/tools/huggingface-accelerate.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/huggingface-accelerate","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=huggingface-accelerate","shared_categories":["model-training","inference-serving"]},{"slug":"fareedkhan-dev-train-llm-from-scratch","name":"train-llm-from-scratch","tagline":"A straightforward method for training your LLM from raw text to aligned model generation","github_url":"https://github.com/FareedKhan-dev/train-llm-from-scratch","owner":"FareedKhan-dev","repo":"train-llm-from-scratch","owner_avatar_url":"https://avatars.githubusercontent.com/u/63067900?v=4","primary_language":"Python","stars":9141,"forks":1264,"topics":["gemini","large-language-models","llm","openai","training","transformers"],"archived":false,"github_pushed_at":"2026-08-17T05:07:26+00:00","maintenance_label":"Active","url":"https://www.graphcanon.com/tools/fareedkhan-dev-train-llm-from-scratch","markdown_url":"https://www.graphcanon.com/tools/fareedkhan-dev-train-llm-from-scratch.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/fareedkhan-dev-train-llm-from-scratch","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=fareedkhan-dev-train-llm-from-scratch","shared_categories":["model-training","inference-serving"]},{"slug":"traceloop-openllmetry","name":"openllmetry","tagline":"Open-source observability for GenAI and LLM applications based on OpenTelemetry.","github_url":"https://github.com/traceloop/openllmetry","owner":"traceloop","repo":"openllmetry","owner_avatar_url":"https://avatars.githubusercontent.com/u/125419530?v=4","primary_language":"Python","stars":7377,"forks":1047,"topics":["artifical-intelligence","datascience","generative-ai","good-first-issue","good-first-issues","help-wanted","llm","llmops","metrics","ml","model-monitoring","monitoring","observability","open-source","open-telemetry","opentelemetry","opentelemetry-python","python"],"archived":false,"github_pushed_at":"2026-08-10T08:49:01+00:00","maintenance_label":"Active","url":"https://www.graphcanon.com/tools/traceloop-openllmetry","markdown_url":"https://www.graphcanon.com/tools/traceloop-openllmetry.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/traceloop-openllmetry","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=traceloop-openllmetry","shared_categories":[]},{"slug":"meta-pytorch-torchtune","name":"torchtune","tagline":"PyTorch native post-training library","github_url":"https://github.com/meta-pytorch/torchtune","owner":"meta-pytorch","repo":"torchtune","owner_avatar_url":"https://avatars.githubusercontent.com/u/107212512?v=4","primary_language":"Python","stars":5793,"forks":743,"topics":[],"archived":false,"github_pushed_at":"2026-08-06T12:15:22+00:00","maintenance_label":"Active","url":"https://www.graphcanon.com/tools/meta-pytorch-torchtune","markdown_url":"https://www.graphcanon.com/tools/meta-pytorch-torchtune.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/meta-pytorch-torchtune","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=meta-pytorch-torchtune","shared_categories":["model-training","inference-serving"]},{"slug":"pytorch-serve","name":"serve","tagline":"Serve, optimize and scale PyTorch models in production","github_url":"https://github.com/pytorch/serve","owner":"pytorch","repo":"serve","owner_avatar_url":"https://avatars.githubusercontent.com/u/21003710?v=4","primary_language":"Java","stars":4350,"forks":882,"topics":["cpu","deep-learning","docker","gpu","kubernetes","machine-learning","metrics","mlops","optimization","pytorch","serving"],"archived":true,"github_pushed_at":"2025-08-06T19:17:08+00:00","maintenance_label":"Archived","url":"https://www.graphcanon.com/tools/pytorch-serve","markdown_url":"https://www.graphcanon.com/tools/pytorch-serve.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/pytorch-serve","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=pytorch-serve","shared_categories":["inference-serving"]},{"slug":"automl-auto-pytorch","name":"Auto-PyTorch","tagline":"Automatic architecture search and hyperparameter optimization for PyTorch","github_url":"https://github.com/automl/Auto-PyTorch","owner":"automl","repo":"Auto-PyTorch","owner_avatar_url":"https://avatars.githubusercontent.com/u/6469053?v=4","primary_language":"Python","stars":2541,"forks":303,"topics":["automl","deep-learning","pytorch","tabular-data"],"archived":false,"github_pushed_at":"2024-04-09T06:17:08+00:00","maintenance_label":"Dormant","url":"https://www.graphcanon.com/tools/automl-auto-pytorch","markdown_url":"https://www.graphcanon.com/tools/automl-auto-pytorch.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/automl-auto-pytorch","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=automl-auto-pytorch","shared_categories":["model-training"]},{"slug":"tensorflow-model-optimization","name":"model-optimization","tagline":"Toolkit for optimizing ML models in Keras and TensorFlow","github_url":"https://github.com/tensorflow/model-optimization","owner":"tensorflow","repo":"model-optimization","owner_avatar_url":"https://avatars.githubusercontent.com/u/15658638?v=4","primary_language":"Python","stars":1576,"forks":346,"topics":["compression","deep-learning","keras","machine-learning","ml","model-compression","optimization","pruning","quantization","quantized-networks","quantized-neural-networks","quantized-training","sparsity","tensorflow"],"archived":false,"github_pushed_at":"2026-07-27T06:03:18+00:00","maintenance_label":"Steady","url":"https://www.graphcanon.com/tools/tensorflow-model-optimization","markdown_url":"https://www.graphcanon.com/tools/tensorflow-model-optimization.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/tensorflow-model-optimization","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=tensorflow-model-optimization","shared_categories":["model-training"]}]}}