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Smile Alternatives
Similar projects and alternatives to Smile
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Deeplearning4j
Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math code and a java based math library on top of the core c++ library. Also includes samediff: a pytorch/tensorflow like library for running deep learn...
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Zeppelin
Web-based notebook that enables data-driven, interactive data analytics and collaborative documents with SQL, Scala and more.
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BigDL
Discontinued Accelerate local LLM inference and finetuning (LLaMA, Mistral, ChatGLM, Qwen, DeepSeek, Mixtral, Gemma, Phi, MiniCPM, Qwen-VL, MiniCPM-V, etc.) on Intel XPU (e.g., local PC with iGPU and NPU, discrete GPU such as Arc, Flex and Max); seamlessly integrate with llama.cpp, Ollama, HuggingFace, LangChain, LlamaIndex, vLLM, DeepSpeed, Axolotl, etc.
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Apache Mahout
Apache Mahout - an environment for quickly creating scalable, performant machine learning applications.
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deeplearning4j-examples
Discontinued Deeplearning4j Examples (DL4J, DL4J Spark, DataVec) (by deeplearning4j)
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Smile discussion
Smile reviews and mentions
- Show HN: AutoML Agents
- Show HN: Smile-Serve – Inference Server for ML, ONNX, and LLM
- Smile v6.0 Was Released
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Kotlin for AI-Powered App Development
Kotlin can use any Java library, giving you access to powerful machine learning frameworks like DeepLearning4J, Smile, and Weka.
- Smile 4.0
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The Current State of Clojure's Machine Learning Ecosystem
> I don't think it's right to recommend that new users move away from the package because of licensing issues
I was going to chime in to agree but then I saw how this was done - a completely innocuous looking commit:
https://github.com/haifengl/smile/commit/6f22097b233a3436519...
And literally no mention in the release notes:
https://github.com/haifengl/smile/releases/tag/v3.0.0
I think if you are going to change license especially in a way that makes it less permissive you need to be super open and clear about both the fact you are doing it and your reasons for that. This is done so silently as to look like it is intentionally trying to mislead and trick people.
So maybe I wouldn't say to move away because of the specific license, but it's legitimate to avoid something when it's so clearly driven by a single entity and that entity acts in a way that isn't trustworthy.
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Need statistic test library for Spark Scala
Check out Smile too.
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Just want to vent a bit
Although it may be a bit more work, you can do both machine learning and AI in Java. If you are doing deep learning, you can use DeepJavaLibrary (I do work on this one at Amazon). If you are looking for other ML algorithms, I have seen Smile, Tribuo, or some around Spark.
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Anybody here using Java for machine learning?
For deploying a trained model there are a bunch of options that use Java on top of some native runtime like TF-Java (which I co-lead), ONNX Runtime, pytorch has inference for TorchScript models. Training deep learning models is harder, though you can do it for some of them in DJL. Training more standard ML models is much simpler, either via Tribuo, or using things like LibSVM & XGBoost directly, or other libraries like SMILE or WEKA.
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What libraries do you use for machine learning and data visualizing in scala?
I use smile https://github.com/haifengl/smile with ammonite and it feels pretty easy/good to work with. Of course for pure looking at data, and exploration, you're not going to beat python.
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A note from our sponsor - SaaSHub
www.saashub.com | 6 Jun 2026
Stats
haifengl/smile is an open source project licensed under GNU General Public License v3.0 or later which is an OSI approved license.
The primary programming language of Smile is Java.