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AI · alternatives · 2026

24 alternatives to Label Studio 1.8.0 Release

Open source data labelling platform for AI model tuning

Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Label Studio 1.8.0 Release launched in 2023; newer entries below may have overtaken it.

  1. 1

    Manage your computer vision data labeling

    2024 · labelyourdata.com · its alternatives →

  2. 2

    Hi HN! I'm excited to share Autolabel, an open-source Python library to label and enrich text datasets with any Large Language Model (LLM) of your choice. We built Autolabel because access to clean, labeled data is a huge bottleneck for most ML&#x2F;data science teams. The most capable LLMs are able to label data with high accuracy, and at a fraction of the cost and time compared to manual labeling. With Autolabel, you can leverage LLMs to label any text dataset with <5 lines of code. We’re eager for your feedback!

    2023 · github.com · its alternatives →

  3. 3

    OpenAI's smartest and most intuitive to use model yet

    2021 · openai.com · its alternatives →

  4. 4
    Labelf AI▲137

    NLP Low code platform to train an AI with active learning

    2021 · labelf.ai · its alternatives →

  5. 5

    Improve your machine learning models by curating your data

    2020 · its alternatives →

  6. 6

    Hi HN! We're Gabriel & Viraj, and we're excited to open source TensorZero. To be a little cheeky, TensorZero is an open-source platform that helps LLM applications graduate from API wrappers into defensible AI products. 1. Integrate our model gateway 2. Send metrics or feedback 3. Unlock compounding improvements in quality, cost, and latency It enables a data & learning flywheel for LLMs by unifying: • Inference: one API for all LLMs, with <1ms P99 overhead • Observability: inference & feedback → your database • Optimization: better prompts, models, inference strategies • Experimentation:…

    2025 · github.com · its alternatives →

  7. 7
    DataLab▲248

    Go from data to insights with the help of AI

    2024 · datacamp.com · its alternatives →

  8. 8

    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 →

  9. 9

    Hey HN! We’re building FinetuneDB (https:&#x2F;&#x2F;finetunedb.com&#x2F;), an LLM fine-tuning platform. It enables teams to easily create and manage high-quality datasets, and streamlines the entire workflow from fine-tuning to serving and evaluating models with domain experts. You can check out our docs here: (https:&#x2F;&#x2F;docs.finetunedb.com&#x2F;) FinetuneDB exists because creating and managing high-quality datasets is a real bottleneck when fine-tuning LLMs. The quality of your data directly impacts the performance of your fine-tuned models, and existing tools didn’t offer an easy…

    2024 · finetunedb.com · its alternatives →

  10. 10

    Automatic, deep learning-based data labeling

    2021 · its alternatives →

  11. 11

    Hi HN, I built a tool for teaching LLMs how to extract structured data from documents by annotating, not prompt engineering. I’d love your feedback. How it works: - Upload a document (DOCX, PDF, image, etc.) - Select and tag parts of it (supports nesting, arrays, custom tag structures) - Upload another document → click "predict" → see editable annotations - Amend them and save as a new example - Call the API with a third document → get JSON back Use cases: - Identify "important clauses" in contracts - Extract "total value" from invoices - Anything subjective, like "healthy ingredients" on a…

    2025 · deeptagger.com · its alternatives →

  12. 12
    Zoo▲234

    A free, open-source playground for AI image models

    2023 · zoo.replicate.dev · its alternatives →

  13. 13
    Lightly▲148

    Improve your machine learning models by using the right data

    2021 · lightly.ai · its alternatives →

  14. 14

    Analyze, interpret, and create interactive visuals from data

    Mar 2026 · orangelabs.im · its alternatives →

  15. 15

    Data for machine learning in 300+ languages 🌎🤓🤖

    2019 · its alternatives →

  16. 16

    Get labeled data at scale, quick!

    2020 · labellerr.com · its alternatives →

  17. 17

    Production infrastructure for machine learning at scale - cortexlabs/cortex

    2019 · github.com · its alternatives →

  18. 18

    An easy way to create and manage training data

    2019 · labelbox.com · its alternatives →

  19. 19

    The dataset marketplace with built-in quality scores

    Apr 2026 · its alternatives →

  20. 20

    We built Vision AI Label Studio, a modern, offline-first, open-source image labeling app. It supports: - Manual annotations (boxes, polygons, lasso) - AI-assisted labeling via YOLOv8 - Multi-format export (COCO, Pascal VOC, YOLO, JSON) - Full-featured desktop + web versions - Built with React, Tailwind, Dexie.js No cloud dependency. Works 100% locally and offline. GitHub: https:&#x2F;&#x2F;github.com&#x2F;vailabel&#x2F;vailabel-studio Docs + Demos: https:&#x2F;&#x2F;vailabel.com&#x2F; Would love feedback and contributions!

    2025 · vailabel.com · its alternatives →

  21. 21

    Collaborate & label any type of data, images, text, or documents, in an easy web interface or desktop app. - UniversalDataTool/universal-data-tool

    2020 · github.com · its alternatives →

  22. 22

    Manage your entire data labeling workflow with a single tool

    2020 · datasaur.ai · its alternatives →

  23. 23

    [deprecated] AI Gateway - core infrastructure stack for building production-ready AI Applications - pyadav/gateway

    2024 · github.com · its alternatives →

  24. 24

    And you can try out the models live here: https:&#x2F;&#x2F;labs.refuel.ai&#x2F;playground

    2024 · huggingface.co · 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 →