Launchable

Launchable

Launchable enhances the developer-test workflow by intelligently triaging tests, providing insights into test health, and streamlining failure analysis. By leveraging machine learning, it identifies the most relevant tests to run, reducing unnecessary friction and enabling teams to ship code confidently and efficiently, transforming chaotic testing into a manageable process.

Top Launchable Alternatives

1

Ladris Enterprise AI

Ladris Enterprise AI utilizes advanced machine learning to predict the impacts of disasters, enhancing emergency management strategies.

2

Ludwig

Ludwig is a low-code framework designed for building custom AI models, including large language models and deep neural networks.

3

Jaxon

Jaxon revolutionizes AI with its Domain-Specific AI Logic (DSAIL), providing a robust framework to combat AI hallucinations.

4

Modelbit

Modelbit streamlines the deployment of machine learning models through an infrastructure-as-code approach.

5

JADBio AutoML

JADBio AutoML streamlines biomarker discovery through a no-code platform designed for life sciences.

6

Diveplane AI

Offering a revolutionary approach to AI, Diveplane AI integrates information and probability theory at an enterprise scale.

7

Invert

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8

TrueFoundry

It seamlessly integrates with existing cloud or on-prem infrastructure, prioritizing data security, cost efficiency, and...

9

SavantX Quantum

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10

Metal

This method significantly reduces emissions compared to traditional processes, aligning with environmental goals...

11

Ensemble Dark Matter

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12

Paradise

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13

Skan

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Plink

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EazyML

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Top Launchable Features

  • Shorter test execution times
  • Smart test triaging
  • Test health insights
  • Flaky test detection
  • Root cause analysis automation
  • GitHub integration notifications
  • Slack notifications for failures
  • Predictive test selection
  • Multi-language support
  • CI system compatibility
  • Data-driven test optimization
  • Test failure classification
  • Dynamic issue tracking
  • Insights on recurring issues
  • Flakiness dashboard for prioritization
  • Test-related insights filtering
  • Machine learning-driven analysis
  • Customizable notification settings
  • Enhanced dev-QA collaboration
  • Fast issue resolution tracking