opensource
github.com/agenta-ai/agentaAgenta provides a workspace for teams to build AI agents and automations.
Looking for something like Unsloth? Here are 24 alternatives, ranked by how closely they match it on purpose, features and platforms. Of these, 1 are free or have a free plan and 11 are open source.
Unsloth provides a local interface for running and training language and diffusion models, including GGUF and MLX support.
| # | Alternative | Pricing | Open source | Platforms |
|---|---|---|---|---|
| 1 | opensource | — | Not stated | — |
| 2 | Laminar | — | Yes | — |
| 3 | Harbor | — | Yes | — |
| 4 | Unsloth | — | Not stated | Web |
| 5 | Colibri | — | Yes | — |
| 6 | FastChat | — | Yes | — |
| 7 | manifest.build | — | Not stated | Web |
| 8 | LiteLLM | — | Not stated | Web |
| 9 | CometAPI | — | Not stated | Web |
| 10 | Lambda | Paid | Not stated | Web |
Agenta provides a workspace for teams to build AI agents and automations.
Laminar provides open-source observability tools designed for applications built with AI agents.
Harbor sets up a preconfigured LLM stack with one command and includes hundreds of services to explore.
Unsloth Studio provides a local workspace for running and training AI models.
Colibri runs mixture-of-experts language models on local hardware, streaming experts from disk with a small C engine.
FastChat offers an open platform for training, serving, and evaluating large language models, and hosts release repositories for Vicuna and Chatbot Arena.
Manifest routes language model requests from agents to providers, with subscription, usage-based, and local model options.
LiteLLM provides a way to call more than 100 language models through an OpenAI-compatible interface.
CometAPI provides a unified API and billing interface for accessing hundreds of language, image, and audio models.
Lambda provides on-demand GPU instances and reserved clusters for training and running AI models.
Forefront provides a platform for fine tuning and running inference with open source language models.
Flama serves predictive and generative AI models as APIs, with compatible endpoints, a chat interface, and MCP support.
DJL is a Java framework for running deep learning models across different engines.
Caffe provides an open framework for building and running deep learning models.
DeepDetect provides a deep learning server and command-line interface for Torch and TensorRT.
igel lets users train, test, and use machine learning models without writing code.
PaddlePaddle provides a deep learning framework for training models across devices and platforms.
Keras provides a deep learning API for building and training machine learning models.
Apache SINGA supports distributed deep learning through a system and library for model training.
ModelFox supports training, deployment, and monitoring for machine learning models.
ThinkDiffusion provides cloud workspaces for Stable Diffusion, ComfyUI, Flux, and other image-generation software.
Sagify describes its project as a way to work with large language models and machine learning more easily.
OpenLLMetry provides OpenTelemetry-based observability for generative AI and large language model applications.
Machine learning operations and large language model operations are the focus of Starwhale’s platform.
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