The Best microsoft/LMOps Alternatives in 2026

OpenLLMetry provides OpenTelemetry-based observability for generative AI and large language model applications.

GPTCache provides semantic caching for large language models and integrates with LangChain and LlamaIndex.

OneCompression is a Python package for compressing large language models.

ColossalAI provides tools intended to make large AI models cheaper, faster, and more accessible.

Extensible Toolkit for Finetuning and Inference of Large Foundation Models.

DeepLake provides multimodal data infrastructure for AI agents, including retrieval and training.

MiroShark describes a swarm intelligence engine for simulating scenarios with stated time and cost targets.

DataHub describes itself as a context platform for data and AI stacks.

DeepEval is an LLM evaluation framework, according to its repository description.

The MegEngine framework supports deep learning and automatic differentiation, according to its repository description.

Sagify describes its project as a way to work with large language models and machine learning more easily.

Mirascope describes itself as an alternative approach to building applications with large language models.

PaddlePaddle provides a deep learning framework for training models across devices and platforms.

Mosec serves machine learning models with dynamic batching and CPU or GPU pipelines for inference workloads.

ClearML combines experiment and data management, pipelines, scheduling, orchestration, and model serving for AI workloads.

DyNet provides tools for building dynamic neural networks and deep learning models.

ClearML manages AI experiments, data, pipelines, orchestration, scheduling, and model serving in one MLOps platform.

BentoML helps build and serve AI apps and models through inference APIs, job queues, and multi-model pipelines.

GPT-NeoX implements model parallel autoregressive transformers on GPUs using Megatron and DeepSpeed libraries.

MII makes low-latency and high-throughput inference possible, powered by DeepSpeed.

The colibri-core NLP tool and library works with n-grams, skipgrams, and other linguistic patterns.

Gymnasium provides a standard API for single agent reinforcement learning environments and related utilities.

Butterfree provides tools for building feature stores and transforming raw data.

Chunk Tuner benchmarks document chunking strategies for RAG and recommends a configuration through a CLI, Python library, or MCP server.