# MLOps & LLMOps Tools

Ranked by the Vioscale composite score: a confidence-weighted blend of independent signals, not user reviews.

| # | Software | Score | Confidence | Vendor |
|--:|---|--:|---|---|
| 1 | [Ollama](https://www.vioscale.ai/software/ollama) | 86.1 | 22% (low) | Ollama |
| 2 | [Ollama](https://www.vioscale.ai/software/ollama) | 83.9 | 45% (low) | Ollama |
| 3 | [Baseten](https://www.vioscale.ai/software/baseten) | 82.6 | 47% (low) | - |
| 4 | [Portkey](https://www.vioscale.ai/software/portkey) | 80 | 46% (low) | - |
| 5 | [MLflow](https://www.vioscale.ai/software/mlflow) | 78.8 | 47% (low) | - |
| 6 | [Weights & Biases](https://www.vioscale.ai/software/weights-biases) | 78.2 | 25% (low) | - |
| 7 | [LangChain](https://www.vioscale.ai/software/langchain) | 76 | 55% (medium) | - |
| 8 | [AutoGen](https://www.vioscale.ai/software/autogen) | 75.9 | 13% (low) | - |
| 9 | [Ray](https://www.vioscale.ai/software/ray) | 74 | 32% (low) | - |
| 10 | [vLLM](https://www.vioscale.ai/software/vllm) | 73.1 | 51% (medium) | - |
| 11 | [Together AI](https://www.vioscale.ai/software/together-ai) | 71.1 | 47% (low) | - |
| 12 | [Langfuse](https://www.vioscale.ai/software/langfuse) | 70.9 | 37% (low) | - |
| 13 | [LlamaIndex](https://www.vioscale.ai/software/llamaindex) | 70.5 | 49% (low) | - |
| 14 | [DSPy](https://www.vioscale.ai/software/dspy) | 69.5 | 44% (low) | - |
| 15 | [Arize AI](https://www.vioscale.ai/software/arize-ai) | 69.4 | 26% (low) | - |
| 16 | [Pydantic AI](https://www.vioscale.ai/software/pydantic-ai) | 69 | 23% (low) | - |
| 17 | [CrewAI](https://www.vioscale.ai/software/crewai) | 68.6 | 39% (low) | - |
| 18 | [Replicate](https://www.vioscale.ai/software/replicate) | 67.1 | 49% (low) | - |
| 19 | [DVC](https://www.vioscale.ai/software/dvc) | 66.1 | 34% (low) | - |
| 20 | [ZenML](https://www.vioscale.ai/software/zenml) | 65.5 | 43% (low) | - |
| 21 | [Haystack](https://www.vioscale.ai/software/haystack) | 63.7 | 48% (low) | - |
| 22 | [Braintrust](https://www.vioscale.ai/software/braintrust) | 61.2 | 42% (low) | - |
| 23 | [Metaflow](https://www.vioscale.ai/software/metaflow) | 59.1 | 49% (low) | - |
| 24 | [Kubeflow](https://www.vioscale.ai/software/kubeflow) | 51.5 | 33% (low) | - |
| 25 | [LangSmith](https://www.vioscale.ai/software/langsmith) | 47 | 18% (low) | - |
| 26 | [Helicone](https://www.vioscale.ai/software/helicone) | 31.1 | 22% (low) | - |

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*Source: Vioscale (https://www.vioscale.ai/categories/mlops-llmops).*