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Top 10 machine-learning in Python Alternatives & Competitors

(35)4.7 out of 5

Explore the best alternatives to machine-learning in Python for users who need new software features or want to try different solutions. Other important factors to consider when researching alternatives to machine-learning in Python include data analysis and tutorials. The best overall machine-learning in Python alternative is Weka. Other similar apps like machine-learning in Python are Vertex AI, SAS Viya, Phrase Localization Platform, and SAP HANA Cloud. machine-learning in Python alternatives can be found in Machine Learning Software but may also be in Data Science and Machine Learning Platforms or Analytics Platforms.

Best Paid & Free Alternatives to machine-learning in Python

  • Weka
  • Vertex AI
  • SAS Viya

Top 10 Alternatives to machine-learning in Python Recently Reviewed By G2 Community

Browse options below. Based on reviewer data, you can see how machine-learning in Python stacks up to the competition, check reviews from current & previous users in industries like Computer Software, Higher Education, and Banking, and find the best product for your business.

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    #1
  1. Weka

    (13)4.3 out of 5
  2. Weka is a machine learning algorithms for data mining tasks that can either be applied directly to a dataset or called from own Java code, it contains tools for data pre-processing, classification, regression, clustering, association rules, and visualization and well-suited for developing new machine learning schemes.

    Categories in common with machine-learning in Python:

    Reviewers say compared to machine-learning in Python, Weka is:

    Slower to reach roi
    More expensive
    #2
  3. Vertex AI

    (572)4.3 out of 5
  4. Vertex AI is a managed machine learning (ML) platform that helps you build, train, and deploy ML models faster and easier. It includes a unified UI for the entire ML workflow, as well as a variety of tools and services to help you with every step of the process. Vertex AI Workbench is a cloud-based IDE that is included with Vertex AI. It makes it easy to develop and debug ML code. It provides a variety of features to help you with your ML workflow, such as code completion, linting, and debugging. Vertex AI and Vertex AI Workbench are a powerful combination that can help you accelerate your ML development. With Vertex AI, you can focus on building and training your models, while Vertex AI Workbench takes care of the rest. This frees you up to be more productive and creative, and it helps you get your models into production faster. If you're looking for a powerful and easy-to-use ML platform, then Vertex AI is a great option. With Vertex AI, you can build, train, and deploy ML models faster and easier than ever before.

    Categories in common with machine-learning in Python:

    Reviewers say compared to machine-learning in Python, Vertex AI is:

    More expensive
    Slower to reach roi
    #3
  5. SAS Viya

    (481)4.3 out of 5
  6. As a cloud-native AI, analytics and data management platform, SAS Viya enables you to scale cost-effectively, increase productivity and innovate faster, backed by trust and transparency. SAS Viya makes it possible to integrate teams and technology enabling all users to work together successfully to turn critical questions into accurate decisions.

    Categories in common with machine-learning in Python:

    Reviewers say compared to machine-learning in Python, SAS Viya is:

    Slower to reach roi
    More expensive
    #4
  7. Phrase Localization Platform

    (1,201)4.5 out of 5
  8. Phrase Localization Platform is the translation management system for global companies wanting to improve localization efficiency.

    Categories in common with machine-learning in Python:

    Reviewers say compared to machine-learning in Python, Phrase Localization Platform is:

    Slower to reach roi
    More expensive
    Better at support
    #5
  9. SAP HANA Cloud

    (517)4.3 out of 5
  10. SAP HANA Cloud is the cloud-native data foundation of SAP Business Technology Platform, it stores, processes and analyzes data in real time at petabyte scale and converges multiple data types in a single system while managing it more efficiently with integrated multitier storage.

    Categories in common with machine-learning in Python:

    Reviewers say compared to machine-learning in Python, SAP HANA Cloud is:

    Slower to reach roi
    More expensive
    #6
  11. Spotfire Analytics

    (356)4.2 out of 5
  12. Self-service data discovery. Fastest to actionable insight. Collaborative, predictive, event-driven data analysis - free from IT.

    Categories in common with machine-learning in Python:

    Reviewers say compared to machine-learning in Python, Spotfire Analytics is:

    Slower to reach roi
    More expensive
    #7
  13. scikit-learn

    (59)4.8 out of 5
  14. Scikit-learn is a software machine learning library for the Python programming language that has a various classification, regression and clustering algorithms including support vector machines, random forests, gradient boosting, k-means and DBSCAN, and is designed to interoperate with the Python numerical and scientific libraries NumPy and SciPy.

    Categories in common with machine-learning in Python:

    Reviewers say compared to machine-learning in Python, scikit-learn is:

    Better at support
    Easier to set up
    More usable
    #8
  15. Mahout

    (13)4.2 out of 5
  16. Apache Mahout is a software that build an environment for quickly creating scalable performant machine learning applications, it provides three major features: A simple and extensible programming environment and framework for building scalable algorithms, A wide variety of premade algorithms for Scala + Apache Spark, H2O, Apache Flink and Samsara, a vector math experimentation environment with R-like syntax which works at scale

    Categories in common with machine-learning in Python:

    Reviewers say compared to machine-learning in Python, Mahout is:

    More expensive
    Better at support
    #9
  17. Keysight Eggplant

    (95)4.2 out of 5
  18. Advanced Design System is the world’s leading electronic design automation software for RF, microwave, and high-speed digital applications. ADS pioneers the most innovative and powerful integrated circuit-3DEM-thermal simulation technologies used by leading companies in the wireless, high-speed networking, defense-aerospace, automotive and alternative energy industries. For 5G, IoT, multi-gigabit data link, radar, satellite and high-speed switched mode power supply designs, Keysight ADS provides an integrated simulation and verification environment to design high-performance hardware compliant with the latest wireless, high speed digital and military standards.

    Categories in common with machine-learning in Python:

    Reviewers say compared to machine-learning in Python, Keysight Eggplant is:

    Slower to reach roi
    More expensive
    Better at support
    #10
  19. Prolific

    (221)4.6 out of 5
  20. We help facilitate a higher standard of online research. Conduct research with 130,000+ vetted participants and gain insights you can rely on.

    Categories in common with machine-learning in Python:

    Reviewers say compared to machine-learning in Python, Prolific is:

    Slower to reach roi
    More expensive
    Easier to do business with

    This is how G2 Deals can help you:

    • Easily shop for curated – and trusted – software
    • Own your own software buying journey
    • Discover exclusive deals on software