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Is there an AI for this?

Alternatives

Self-hosted alternatives to Azure Machine Learning

Projects in the registry that can run on your own hardware and serve at least one of the same use cases as Azure Machine Learning.

Source
Registry relations over fetched repository records — the evidence sits on each repository page
Verified
Evidence not verified
Confidence
High

01How this list was built

Compared against
Azure Machine Learning
Delivery
Cloud platforms
Shared use cases
Prediction from operational data, Choosing a cloud platform, Document classification
Selection rule
open source, or self-hostable, and shares a use case
Candidates found
7

02Alternatives

7

  • MLflow

    Cloud platforms

    Experiment tracking, a model registry and deployment packaging. The component that lets a prediction be traced back to the model version and data that produced it.

    Repository
    mlflow/mlflow
    Stars
    28,039
    Licence
    Apache-2.0
    In stacks
    1

    Shares: Predictive analytics

  • n8n

    Hybrid — hosted or self-hosted

    Workflow automation tool with several hundred integrations, branching logic, code steps and AI nodes. Can be self-hosted, which is why it appears in on-premise automation stacks.

    Repository
    n8n-io/n8n
    Stars
    202,375
    Licence
    Other
    In stacks
    4

    Shares: Document classification

  • PaddleOCR

    Libraries

    OCR toolkit with detection, recognition and layout models, including Chinese and other East Asian scripts, plus table and formula recognition. Runs offline on CPU or GPU.

    Repository
    PaddlePaddle/PaddleOCR
    Stars
    88,941
    Licence
    Apache-2.0
    In stacks
    0

    Shares: Document classification

  • paperless-ngx

    Self-hosted projects

    Self-hosted document management system that OCRs incoming scans and email, applies tags and correspondents through trainable rules, and keeps a searchable archive.

    Repository
    paperless-ngx/paperless-ngx
    Stars
    44,585
    Licence
    GPL-3.0
    In stacks
    2

    Shares: Document classification

  • scikit-learn

    Libraries

    The standard Python library for classical machine learning: regression, classification, clustering, preprocessing pipelines and model evaluation on tabular data.

    Repository
    scikit-learn/scikit-learn
    Stars
    67,301
    Licence
    BSD-3-Clause
    In stacks
    1

    Shares: Predictive analytics · Document classification

  • Tesseract OCR

    Libraries

    Long-established open-source OCR engine with trained data for many languages and scripts, usable offline and embedded in most self-hosted document pipelines.

    Repository
    tesseract-ocr/tesseract
    Stars
    76,569
    Licence
    Apache-2.0
    In stacks
    0

    Shares: Document classification

  • XGBoost

    Libraries

    Gradient-boosted decision trees with distributed training and GPU support. The usual first model to try on a tabular prediction problem before anything more elaborate.

    Repository
    dmlc/xgboost
    Stars
    28,777
    Licence
    Apache-2.0
    In stacks
    1

    Shares: Predictive analytics

03Repository facts

RepositoryStarsHealth
mlflow/mlflowThe open source AI engineering platform for agents, LLMs, and ML models. MLflow enables teams of all sizes to debug, evaluate, monitor, and optimize production-quality AI applications while controlling costs and managing access to models and data.28kMaintenance 80%, Releases 80%, Contributors 50%, Issues 24%, Community 89%72
n8n-io/n8nFair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+ integrations.202kMaintenance 60%, Releases 60%, Contributors 50%, Issues 95%, Community 100%72
PaddlePaddle/PaddleOCRTurn any PDF or image document into structured data for your AI. A powerful, lightweight OCR toolkit that bridges the gap between images/PDFs and LLMs. Supports 100+ languages.89kMaintenance 60%, Releases 40%, Contributors 50%, Issues 97%, Community 99%68
paperless-ngx/paperless-ngxA community-supported supercharged document management system: scan, index and archive all your documents45kMaintenance 60%, Releases 60%, Contributors 50%, Issues 100%, Community 93%71
scikit-learn/scikit-learnscikit-learn: machine learning in Python67kMaintenance 80%, Releases 60%, Contributors 50%, Issues 68%, Community 97%74
tesseract-ocr/tesseractTesseract Open Source OCR Engine (main repository)77kMaintenance 60%, Releases 60%, Contributors 50%, Issues 94%, Community 98%71
dmlc/xgboostScalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow29kMaintenance 80%, Releases 60%, Contributors 50%, Issues 85%, Community 89%74

04Ask about your own case

Which alternative is right depends on how many people will use it, what the data is and what you can operate. Ask and the answer is researched for your organisation.

  1. 01What is a self-hosted alternative to Azure Machine Learning that we can run ourselves?