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AI · alternatives · 2026

24 alternatives to Skolar

train_test your skills in open-source machine learning

Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes.

  1. 1
    Lobe 2.0▲483

    Machine learning made easy

    2020 · github.com · its alternatives →

  2. 2
    Skott▲317

    Your autonomous AI marketer

    2024 · lyzr.ai · its alternatives →

  3. 3
    Skillkit▲252

    It's an open-source project that lets you create, translate, and work with multiple agents at the same time, and more.

    Feb 2026 · agenstskills.com · its alternatives →

  4. 4
    OS Ninja▲286

    Explore and learn open source using AI

    Jan 2026 · os.ninja · its alternatives →

  5. 5

    Open-source machine learning library by Google

    2017 · tensorflow.org · its alternatives →

  6. 6
    MakeML▲274

    Train Neural Networks without a line of code

    2019 · makeml.app · its alternatives →

  7. 7
    Floyd▲469

    Heroku for deep learning

    2017 · blog.floydhub.com · its alternatives →

  8. 8
    Helix▲153

    Train your own AI with open-source AI and your data

    2023 · helix.ml · its alternatives →

  9. 9
    Skotty▲71

    Smarter online communication for professionals

    2021 · skotty.io · its alternatives →

  10. 10
    Sklm▲60

    Centralize, scope, and sync skills for every AI agent

    Jun 2026 · auran0s.github.io · its alternatives →

  11. 11
    Skriptr▲123

    The AI-native text editor for academic projects

    Aug 2026 · skriptr.ai · its alternatives →

  12. 12

    Your AI powered knowledge base, powered by ChatGPT

    2023 · its alternatives →

  13. 13
    OpenMolt▲132

    Hi HN! I built OpenMolt, an open-source framework for creating programmatic AI agents in Node.js. Instead of wiring complex workflows (that can break), you define agents in code with instructions, tools, integrations, and memory. The agent then plans steps and executes actions like calling APIs, updating data, or interacting with services. When things break or change, the agent can adapt instead of failing like static workflows. The goal is to make agents behave more like real software systems than prompt scripts. It includes: - a planning/execution loop - tool and API integrations -…

    Mar 2026 · openmolt.dev · its alternatives →

  14. 14

    Hi HN, I’ve been working on an OCR pipeline specifically optimized for machine learning dataset preparation. It’s designed to process complex academic materials — including math formulas, tables, figures, and multilingual text — and output clean, structured formats like JSON and Markdown. Some features: • Multi-stage OCR combining DocLayout-YOLO, Google Vision, MathPix, and Gemini Pro Vision • Extracts and understands diagrams, tables, LaTeX-style math, and multilingual text (Japanese/Korean/English) • Highly tuned for ML training pipelines, including dataset generation and…

    2025 · github.com · its alternatives →

  15. 15
    Skuap▲77

    Get actionable insights to lead teams with confidence.

    2020 · its alternatives →

  16. 16

    Your AI-powered learning roadmap generator

    2025 · its alternatives →

  17. 17SA
  18. 18

    A graph-based functional API for building complex scikit-learn pipelines. - alegonz/baikal

    2020 · github.com · its alternatives →

  19. 19

    Hey HN. I'm Fabien, principal engineer, 25 years shipping production systems (Ruby, Swift, now Rust). I built Moltis because I wanted an AI assistant I could run myself, trust end to end, and make extensible in the Rust way using traits and the type system. It shares some ideas with OpenClaw (same memory approach, Pi-inspired self-extension) but is Rust-native from the ground up. The agent can create its own skills at runtime. Moltis is one Rust binary, 150k lines, ~60MB, web UI included. No Node, no Python, no runtime deps. Multi-provider LLM routing (OpenAI, local GGUF/MLX, Hugging…

    Feb 2026 · moltis.org · its alternatives →

  20. 20

    :earth_americas: Simple and ready-to-use deep learning examples for the Microsoft Cognitive Toolkit (CNTK) - CNTK-World/README.rst at master · astorfi/CNTK-World

    2017 · github.com · its alternatives →

  21. 21

    Production infrastructure for machine learning at scale - cortexlabs/cortex

    2019 · github.com · its alternatives →

  22. 22

    Help teams apply machine learning to real-world applications

    2017 · its alternatives →

  23. 23

    Full-Stack Platform for Training Small Language Models

    Jul 2026 · freesolo.co · its alternatives →

  24. 24

    Hi everyone, we’re a small team, supported by Mozilla, who are working on re-imagining a UI for training, tuning and testing local LLMs. Everything is open source. If you’ve been training your own LLMs or have always wanted to, we’d love for you to play with the tool and give feedback on what the future development experience for LLM engineering could look like.

    2025 · github.com · its alternatives →

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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 →