Compare the Top Predictive Analytics Software that integrates with TensorFlow as of July 2025

This a list of Predictive Analytics software that integrates with TensorFlow. Use the filters on the left to add additional filters for products that have integrations with TensorFlow. View the products that work with TensorFlow in the table below.

What is Predictive Analytics Software for TensorFlow?

Predictive analytics software uses statistical algorithms and machine learning techniques to analyze historical data and predict future outcomes. It helps businesses identify patterns, trends, and potential opportunities or risks, allowing for more informed decision-making. By processing large volumes of data, the software can forecast demand, customer behavior, and market shifts. It often includes visualization tools to present predictions in an easy-to-understand format for stakeholders. With predictive analytics, companies can optimize strategies, improve efficiency, and enhance customer experiences by anticipating needs before they arise. Compare and read user reviews of the best Predictive Analytics software for TensorFlow currently available using the table below. This list is updated regularly.

  • 1
    Flex83

    Flex83

    IoT83

    Re-imagine IoT innovation with the Flex83 Application Enablement Platform! Build compelling & powerful IoT solutions up to 80% faster & at a fraction of the cost. - Use no-code workflows to build professional-grade connect/monitor/analyze/manage solutions fast. - Use low-code tools to connect to virtually anything, add custom business logic, build analytics, custom dashboards, and launch multiple applications. - Use the hassle-free SaaS model to build & prove your solution – and then scale - using a "pay as you grow" model! You can create sophisticated IoT applications - literally - in a day with tools & workflows that give you the agility to build what your business or customers need without worrying about long development cycles, underlying complexity, or huge budgets. Iteratively enhance you solution to broaden your capabilities and drive more customer value. And, proven to 65M devices, you know the Flex83 platform is reliable! Give Flex83 a try today!
    Starting Price: $200 per month
  • 2
    IBM Watson Studio
    Build, run and manage AI models, and optimize decisions at scale across any cloud. IBM Watson Studio empowers you to operationalize AI anywhere as part of IBM Cloud Pak® for Data, the IBM data and AI platform. Unite teams, simplify AI lifecycle management and accelerate time to value with an open, flexible multicloud architecture. Automate AI lifecycles with ModelOps pipelines. Speed data science development with AutoAI. Prepare and build models visually and programmatically. Deploy and run models through one-click integration. Promote AI governance with fair, explainable AI. Drive better business outcomes by optimizing decisions. Use open source frameworks like PyTorch, TensorFlow and scikit-learn. Bring together the development tools including popular IDEs, Jupyter notebooks, JupterLab and CLIs — or languages such as Python, R and Scala. IBM Watson Studio helps you build and scale AI with trust and transparency by automating AI lifecycle management.
  • 3
    GigaSpaces

    GigaSpaces

    GigaSpaces

    Smart DIH is an operational data hub that powers real-time modern applications. It unleashes the power of customers’ data by transforming data silos into assets, turning organizations into data-driven enterprises. Smart DIH consolidates data from multiple heterogeneous systems into a highly performant data layer. Low code tools empower data professionals to deliver data microservices in hours, shortening developing cycles and ensuring data consistency across all digital channels. XAP Skyline is a cloud-native, in memory data grid (IMDG) and developer framework designed for mission critical, cloud-native apps. XAP Skyline delivers maximal throughput, microsecond latency and scale, while maintaining transactional consistency. It provides extreme performance, significantly reducing data access time, which is crucial for real-time decisioning, and transactional applications. XAP Skyline is used in financial services, retail, and other industries where speed and scalability are critical.
  • 4
    Zepl

    Zepl

    Zepl

    Sync, search and manage all the work across your data science team. Zepl’s powerful search lets you discover and reuse models and code. Use Zepl’s enterprise collaboration platform to query data from Snowflake, Athena or Redshift and build your models in Python. Use pivoting and dynamic forms for enhanced interactions with your data using heatmap, radar, and Sankey charts. Zepl creates a new container every time you run your notebook, providing you with the same image each time you run your models. Invite team members to join a shared space and work together in real time or simply leave their comments on a notebook. Use fine-grained access controls to share your work. Allow others have read, edit, and run access as well as enable collaboration and distribution. All notebooks are auto-saved and versioned. You can name, manage and roll back all versions through an easy-to-use interface, and export seamlessly into Github.
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