Best Predictive Analytics Software for GitLab

Find and compare the best Predictive Analytics software for GitLab in 2025

Use the comparison tool below to compare the top Predictive Analytics software for GitLab on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.

  • 1
    Allstacks Reviews

    Allstacks

    Allstacks

    $400/per contributor per year
    Allstacks uses machine learning models to analyze software delivery life cycle data for delivery risks, insights, and projected outcomes for engineering stakeholders. Our value stream intelligence platform provides insights across all your projects and tools. Gathering and analyzing past work data and behavior from the tools your team is already using from the most common engineering software in the market. Extremely simple, you are up and running in less than two minutes. Allstacks aggregates all of your tools and data into a single and straightforward platform so you can accelerate your engineering team’s ability to deliver great software products.
  • 2
    Sedai Reviews

    Sedai

    Sedai

    $10 per month
    Sedai intelligently finds resources, analyzes traffic patterns and learns metric performance. This allows you to manage your production environments continuously without any manual thresholds or human intervention. Sedai's Discovery engine uses an agentless approach to automatically identify everything in your production environments. It intelligently prioritizes your monitoring information. All your cloud accounts are on the same platform. All of your cloud resources can be viewed in one place. Connect your APM tools. Sedai will identify and select the most important metrics. Machine learning intelligently sets thresholds. Sedai is able to see all the changes in your environment. You can view updates and changes and control how the platform manages resources. Sedai's Decision engine makes use of ML to analyze and comprehend data at large scale to simplify the chaos.
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