AI · alternatives · 2026
24 alternatives to Open-Source Machine Learning Suite for the Browser
:ribbon: A data mining suite for gene expression data. - HelikarLab/candis
Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Open-Source Machine Learning Suite for the Browser launched in 2017; newer entries below may have overtaken it.
- 1
a delightful machine learning tool that allows you to train, test, and use models without writing code - nidhaloff/igel
2020 · github.com · its alternatives →
- 2
Hey HN, we want to share HelixDB (https://github.com/HelixDB/helix-db/), a project a college friend and I are working on. It’s a new database that natively intertwines graph and vector types, without sacrificing performance. It’s written in Rust and our initial focus is on supporting RAG. Here’s a video runthrough: https://screen.studio/share/szgQu3yq. Why a hybrid? Vector databases are useful for similarity queries, while graph databases are useful for relationship queries. Each stores data in a way that’s best for its main type of query (e.g.…
2025 · github.com · its alternatives →
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The Virtual Feature Store. Turn your existing data infrastructure into a feature store. - featureform/featureform
2021 · github.com · its alternatives →
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Weave▲237Hey HN, We’re building Weave: an ML-powered tool to measure engineering output, that actually understands engineering output! Why? Here’s the thing: almost every eng leader already measures output - either openly or behind closed doors. But they rely on metrics like lines of code (correlation with effort: ~0.3), number of PRs, or story points (slightly better at ~0.35). These metrics are, frankly, terrible proxies for productivity. We’ve developed a custom model that analyzes code and its impact directly, with a far better 0.94 correlation. The result? A standardized engineering output…
2025 · app.workweave.ai · its alternatives →
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PredictionIO▲172Open source machine learning to predict/learn user behavior
2014 · prediction.io · its alternatives →
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Open-source machine learning library by Google
2018 · tensorflow.org · its alternatives →
- 9
A work in progress library that fuses the HL7 FHIR standard with scikit-learn - chrisby/ml-on-fhir
2020 · github.com · its alternatives →
- 10
I'm a machine learning engineer and researcher. I got fed up with how difficult it is to understand why neural networks behave the way they do, so i wrote a library to help with it. Comgra (computation graph analysis) is a library you can use with pytorch to extract all the tensor data you care about and visualize it graphically in a browser. This allows for a much more detailed analysis of what is happening than the usual approach of using tensorboard. You can go investigate tensors as training proceeds, drill down into individual neurons, inspect single data sets that are of special…
2023 · github.com · its alternatives →
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Read the original article in full on F1000Research: exprso: an R-package for the rapid implementation of machine learning algorithms
2016 · f1000research.com · its alternatives →
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AutoML Web App - build Machine Learning pipeline in automatic way with Graphical User Interface (GUI). You can run app locally! - mljar/automl-app
2023 · github.com · its alternatives →
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Loci▲60Open-source biomedical image analysis for every lab
Sep 2026 · github.com · its alternatives →
- 14SF
I've made a small Python library, designed for quick-and-easy prototyping of machine learning models. It's built on top of scikit-learn, to serialize and deserialize data from the forms you're likely to have, to the format used in scikit-learn. https://github.com/madman-bob/Smart-Fruit It's pretty bare-bones at the moment, but I thought I'd see if there was any interest before spending too much time on it. Let me know what you think.
2018 · its alternatives →
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A high-level machine learning and deep learning library for the PHP language. - RubixML/ML
2018 · github.com · its alternatives →
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a delightful machine learning tool that allows you to train, test, and use models without writing code - nidhaloff/igel
2020 · github.com · its alternatives →
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Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation - mljar/mljar-supervised
2021 · github.com · its alternatives →
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Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation - mljar/mljar-supervised
2020 · github.com · its alternatives →
- 19
A lightweight vanilla Javascript micro-library for making collapsible trees with JSON - MaxLeiter/jsonTree
2016 · github.com · its alternatives →
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Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation - mljar/mljar-supervised
2020 · github.com · its alternatives →
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Machine Learning library for Rust. Contribute to AtheMathmo/rusty-machine development by creating an account on GitHub.
2016 · github.com · its alternatives →
- 22
2020 · cubonacci.com · its alternatives →
- 23
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
2024 · huggingface.co · its alternatives →
- 24WB
2019 · intelec.ai · its alternatives →
Also compare
- Igel – A CLI tool to run machine learning without writing code alternatives
- HelixDB – Open-source vector-graph database for AI applications (Rust) alternatives
- Embeddinghub alternatives
- Embeddinghub: A vector database built for Machine Learning embeddings alternatives
- Weave alternatives
- PredictionIO alternatives
Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →