Software Alternatives & Reviews

WEKA

WEKA is a set of powerful data mining tools that run on Java.

WEKA Alternatives [Page 8]

The best WEKA alternatives based on verified products, community votes, reviews and other factors.

  1. /flourish-alternatives

    Powerful, beautiful, easy data visualisation

  2. /pycaret-alternatives

    open source, low-code machine learning library in Python

    Open Source

  3. Try for free

    Clear. Fast. Unlimited. Residential & Mobile Proxies For Best Price .

    Try for free paid Free Trial $3.0 (3$ per 1 Gb)

  4. /scidavis-alternatives

    SciDAVis is a free application for Scientific Data Analysis and Visualization.

  5. /intellij-idea-alternatives

    Capable and Ergonomic IDE for JVM

  6. /sas-alternatives

    With SAS you are part of a community experiencing easy, joyful and reliable services delivered the Scandinavian way

  7. /teachable-machine-alternatives

    Easily create machine learning models for your apps, no coding required.

    Open Source

  8. /zabbix-alternatives

    Track, record, alert and visualize performance and availability of IT resources

    Open Source free

  9. /apache-spark-alternatives

    Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.

    Open Source

  10. /annoy-alternatives

    Annoy is a C++ library with Python bindings to search for points in space that are close to a given query point.

  11. /scipy-alternatives

    SciPy is a Python-based ecosystem of open-source software for mathematics, science, and engineering. 

    Open Source

  12. /airflow-alternatives

    Airflow is a platform to programmaticaly author, schedule and monitor data pipelines.

    Open Source

  13. /hetrixtools-alternatives

    FREE Uptime Monitoring + Server Monitoring + Status Page + Blacklist Monitoring!

    freemium $9.95 / Monthly (Professional Uptime Monitoring)

  14. /dataiku-dss-alternatives

    Dataiku's single, collaborative platform powers both self-service analytics and the operationalization of machine learning models in production.

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