AI · alternatives · 2026

24 alternatives to MC² – Secure collaborative analytics and ML

A Platform for Secure Analytics and Machine Learning - mc2-project/mc2

Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. MC² – Secure collaborative analytics and ML launched in 2021; newer entries below may have overtaken it.

1. 1
   Securely run SQL analytics on your encrypted data▲6

   A Platform for Secure Analytics and Machine Learning - mc2-project/mc2

   2021 · github.com · its alternatives →

2. 2
   Secure XGBoost training and inference on encrypted data▲7

   Secure collaborative training and inference for XGBoost. - mc2-project/secure-xgboost

   2020 · github.com · its alternatives →

3. 3
   Azure - Machine Learning▲81

   Powerful cloud-based predictive analytics, ML as a Service

   2014 · azure.microsoft.com · its alternatives →

4. 4IA
   Integrate.ai – Machine learning and analytics on hard-to-access data▲32

   Hey HN! This is Steve from integrate.ai (https://integrate.ai). Our platform unlocks a range of machine learning and analytics capabilities on data that would otherwise be difficult or impossible to access due to privacy, confidentiality, or technical hurdles. Traditional approaches to machine learning and analytics require centralization and aggregation of data sources. Given the increasingly distributed nature of data - across organizations, across borders, and across connected devices - centralizing the data necessary for machine learning and analytics often requires complex…

   2022 · its alternatives →

5. 5
   Embeddinghub▲118

   An open-source database for machine learning

   2021 · github.com · its alternatives →

6. 6
   MatrixDS▲79

   The data community's workbench

   2018 · its alternatives →

7. 7
   BigML▲64

   Machine learning as a service - build predictive apps

   2014 · bigml.com · its alternatives →

8. 8
   Bytient▲63

   Deep data on any organization at your fingertips

   2023 · lehnertventures.com · its alternatives →

9. 9
   2analytics▲10

   Analytics, but privacy-friendly.

   2019 · 2analytics.com · its alternatives →

10. 10
    I started a repo for sharing algorithm implementations▲52

    Everything that would be here is in the README. I hope this gets big, it has tons of potential.

    2013 · github.com · its alternatives →

11. 11
    OpenMined - Open Source Project for Federated Deep Learning▲26

    Unlock insights from data you can

    2017 · openmined.org · its alternatives →

12. 12
    Formal Verification for Machine Learning Models Using Lean 4▲52

    Framework for specifying and proving properties—such as robustness, fairness, and interpretability—of machine learning models using Lean 4. - fraware/leanverifier

    2025 · github.com · its alternatives →

13. 13
    Secure end-to-end client sessions and API calls using crypto key pairs▲9

    Hello. I made this project as an experiment in using key cryptography for user identity in a client server model, and for some future peer to peer projects that I am working on. I am looking for feedback, please let me know what you think. Also, Merry Christmas to HN! :-)

    2022 · github.com · its alternatives →

14. 14
    Train a Convolutional Neural Nets Using Multi-Party Computation▲28

    Most efforts to privately train machine-learning models either use homomorphic encryption or secure multi-party computation (MPC). Recent insights indicate…

    2018 · blog.openmined.org · its alternatives →

15. 15
    ZenML, extensible open-source MLOps framework for reproducible ML▲37

    ZenML 🙏: One AI Platform from Pipelines to Agents. https://zenml.io. - zenml-io/zenml

    2020 · github.com · its alternatives →

16. 16
    Logistic Regression Training on Encrypted Data with FHE▲8

    Concrete ML: Privacy Preserving ML framework using Fully Homomorphic Encryption (FHE), built on top of Concrete, with bindings to traditional ML frameworks. - concrete-ml/docs/advanced_examples/LogisticRegressionTraining.ipynb at release/1.4.x · zama-ai/concrete-ml

    2024 · github.com · its alternatives →

17. 17
    Peer-to-peer web search over the YaCy network▲5

    SearXNG — a privacy-respecting, open metasearch engine

    14d ago · search.my-yacy-node.org · its alternatives →

18. 18
    Open-source and AI native web analytics▲10

    Open-source, privacy-first and cookieless web analytics with revenue attribution and an MCP server. - OpenLabs-so/openanalytics

    Aug 2026 · github.com · its alternatives →

19. 19
    MCP Guardian▲12

    You can read more about EQTY Lab's enterprise-focused usage of this tooling here: https://www.eqtylab.io/blog/securing-model-context-protocol

    Dec 2025 · guardianmcp.dev · its alternatives →

20. 20
    Risk Analysis Database of Every MCP Server▲22

    Hi HN, We’re building security tooling around agentic AI systems. Today, we're releasing our public MCP catalog with detailed risk analysis for every MCP server we've found on the internet: https://mcp.armor1.ai/mcp-directory We all love agents and the power that MCPs unlock: suddenly your AI assistant can query databases, manage files, call APIs, and interact with the real world. But when we started adopting MCPs ourselves, we kept running into the same nagging questions: Is this MCP safe? Where is my data actually going? Could it execute destructive actions? Is it…

    Feb 2026 · mcp.armor1.ai · its alternatives →

21. 21
    Predictive ML model on encrypted data with Fully Homomorphic Encryption▲15

    Explore and run AI code with Kaggle Notebooks | Using data from Titanic - Machine Learning from Disaster

    2022 · kaggle.com · its alternatives →

22. 22AC
    A curated collection of open-source ML projects▲5

    2017 · ml-showcase.com · its alternatives →

23. 23
    Open-Source Machine Learning Suite for the Browser▲8

    :ribbon: A data mining suite for gene expression data. - HelikarLab/candis

    2017 · github.com · its alternatives →

24. 24UA
    Upload a CSV file, get a Machine Learning model in 1 minute▲13

    Hello! So, I am experimenting with new approaches to automated machine learning, where you don't need anything besides either data or prompt This is a first platform from my auto ml serie called Łukasiewicz (Jan Łukasiewicz was a logician who created Polish notation) I much appreciate your feedback and if you want to try it out, I created a -75% off promo code "HACKERNEWS" on credits, so it hopefully will cover at least some of computing expenses, but more importantly will let you play with the platform at almost no cost Thank you!

    2024 · lukasiewicz.tmlc.pl · its 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 →