The Best opensource Alternatives in 2026

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

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

OptiMate is a collection of libraries for optimizing AI model performance; the repository is marked as a legacy project.

FastChat offers an open platform for training, serving, and evaluating large language models, and hosts release repositories for Vicuna and Chatbot Arena.

traceAI provides open source tracing for AI applications and frameworks using OpenTelemetry.

Aim tracks machine learning experiments and describes itself as an open-source experiment tracker.

This SDK provides AI evaluations, prompt management, and observability for Python and TypeScript workflows.

Compose, test, and optimize prompts for language-model applications in Promptmetheus, an IDE supporting more than 100 models.

Promptitude lets teams test, manage, and improve prompts for integrating GPT into apps and workflows.

Langtail helps product teams build, test, version, and deploy AI prompts collaboratively.

Ray provides an AI compute engine with a distributed runtime and libraries for machine learning workloads.

TensorRT-LLM provides Python and C++ runtimes with optimizations for language model inference on NVIDIA GPUs.

Forefront provides a platform for fine tuning and running inference with open source language models.

Upstage builds large language models and document-processing engines for workplace workflows.

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

ModelDB tracks machine learning model versions, metadata, and experiments.

Kedro-Viz visualizes Kedro data and machine learning pipelines and tracks experiments.

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

Talos provides tools for running hyperparameter experiments with TensorFlow and Keras.

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

onWatch tracks AI API quotas across providers and displays usage in real time through a lightweight background monitor.

OpenLIT provides observability and evaluation for AI agents and coding agents, tracing models, tools, prompts, costs, and workflows.

Curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning.

Latitude provides observability for AI agents and helps teams trace failures and verify fixes.