Looking for something like deeplake? Here are 24 alternatives, ranked by how closely they match it on purpose, features and platforms. Of these, 2 are free or have a free plan and 21 are open source.
DeepLake provides multimodal data infrastructure for AI agents, including retrieval and training.
| # | Alternative | Pricing | Open source | Platforms |
|---|---|---|---|---|
| 1 | TensorRT-LLM | — | Not stated | — |
| 2 | FastChat | — | Yes | — |
| 3 | Sagify | — | Yes | — |
| 4 | Nebullvm | — | Yes | — |
| 5 | traceAI | — | Yes | — |
| 6 | opensource | — | Yes | — |
| 7 | microsoft/LMOps | — | Yes | — |
| 8 | PaddlePaddle | — | Yes | — |
| 9 | Sinabs | — | Yes | — |
| 10 | ignite | — | Yes | — |
TensorRT-LLM provides Python and C++ runtimes with optimizations for language model inference on NVIDIA GPUs.
FastChat offers an open platform for training, serving, and evaluating large language models, and hosts release repositories for Vicuna and Chatbot Arena.
Sagify describes its project as a way to work with large language models and machine learning more easily.
OptiMate is a collection of libraries for optimizing AI model performance; the repository is marked as a legacy project.
traceAI provides open source tracing for AI applications and frameworks using OpenTelemetry.
Helicone provides open-source observability for LLM applications, with tools to monitor, evaluate, and experiment.
This repository describes technologies for enabling AI capabilities with large and multimodal language models.
PaddlePaddle provides a deep learning framework for training models across devices and platforms.
Sinabs supports fast training of spiking neural networks with PyTorch and inference on neuromorphic hardware.
PyTorch Ignite provides a high level library for flexibly training and evaluating neural networks.
Butterfree provides tools for building feature stores and transforming raw data.
ClearML combines experiment and data management, pipelines, scheduling, orchestration, and model serving for AI workloads.
ClearML manages AI experiments, data, pipelines, orchestration, scheduling, and model serving in one MLOps platform.
Quilt manages scientific data on AWS with versioned data packages for teams and AI.
DataHub describes itself as a context platform for data and AI stacks.
PySyft supports data science on data that remains on another person’s server.
Gymnasium provides a standard API for single agent reinforcement learning environments and related utilities.
E2B provides an open-source secure environment with tools for enterprise agents.
Ray provides an AI compute engine with a distributed runtime and libraries for machine learning workloads.
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.
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.
Chunk Tuner benchmarks document chunking strategies for RAG and recommends a configuration through a CLI, Python library, or MCP server.
Alternatives are suggested from the purpose and features described in our listings. Different pages for the same product appear once. Read each description to check whether it fits your task. How we choose alternatives · Suggest an alternative
