Alternatives

Products that do what OPENSCI does

The Infrastructure for Accelerating Scientific Discovery

1. 1
   FrontierScience by OpenAI▲240

   A benchmark evaluating expert-level scientific reasoning

   Dec 2025

2. 2OS
   Open source data discovery and observability platform▲122

   2022 · opendatadiscovery.org

3. 3
   OpenDataDiscovery▲105

   First open-source data discovery and observability platform

   2022

4. 4AO
   An open science community▲70

   2011 · science.io

5. 5
   Specfy▲155

   Open source stack intelligence platform

   2023

6. 6
   Magniv▲100

   One line data science infra, Open-Source Python library

   2022

7. 7
   Daytona ▲452

   Secure and elastic infra for running your AI-generated code.

   2025

8. 8
   Aqueduct▲87

   Taking data science to production

   2022

9. 9
   Slab 2.0▲194

   The knowledge base that democratizes knowledge

   2020

10. 10
    Tensorflow Research Cloud▲288

    Accelerating open machine learning research with Cloud TPUs

    2017

11. 11AO
    An open distributed search engine for science▲98

    2014 · juretriglav.si

12. 12
    Prism▲175

    A free, LaTeX-native workspace for scientists

    Jan 2026

13. 13
    Paperspace for Machine Learning▲152

    A Linux desktop in the cloud built for Machine Learning

    2016

14. 14
    Minicule▲121

    Use AI to visualize biomedical knowledge

    2025

15. 15
    F1000Workspace▲84

    Discover, annotate, write and share scientific research.

    2016

16. 16
    Golden Open▲107

    Lodge canonical data requests and access our Research Engine

    2021

17. 17
    Openlit▲152

    One click observability & evals for LLMs & GPUs

    2024

18. 18
    NextGenAI by OpenAI▲68

    A consortium to advance research and education with AI

    2025

19. 19
    OpenLIT 2.0▲141

    Open source dashboard for AI engineering & LLM data

    2025

20. 20AL
    A labelling tool to easily extract and label Wikipedia data▲116

    Hi HN! I am Maria, solo founder of DataQA (https://dataqa.ai/), a tool to search and label documents for various NLP tasks (e.g. entity extraction, entity linking, etc). I have worked as a data scientist and ML engineer for the better part of a decade, and over that time have specialised mainly in applications involving natural language processing (NLP). One of the key questions I have always had at the back of my mind is whether my time was well spent. Whenever I spent more time on feature engineering or trying different models, I always wondered whether I would get better…

    2021

21. 21DP
    Data pipelines for data scientists (new open-source notebook)▲36

    2022 · mage.ai

22. 22OS
    Open Science, open-source alternative to Claude Science▲8

    Claude Science just launched. It’s a sign AI research is moving toward centralized, closed systems. So we built the opposite: Open Science: a local first, model agnostic AI research workbench. MIT licensed. Fully open. Fully reproducible.

    Jul 2026 · github.com

23. 23
    Bitscale▲96

    GTM workflows with best data enrichment

    Mar 2026 · bitscale.ai

24. 24
    Artemis▲83

    The modern infrastructure for data science teams

    2022

Ranked by how close each launch is in meaning, then by votes. Refine with a description →