Best Machine Learning Software for Jenkins
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Compare the Top Machine Learning Software that integrates with Jenkins as of July 2025
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This a list of Machine Learning software that integrates with Jenkins. Use the filters on the left to add additional filters for products that have integrations with Jenkins. View the products that work with Jenkins in the table below.
What is Machine Learning Software for Jenkins?
Machine learning software enables developers and data scientists to build, train, and deploy models that can learn from data and make predictions or decisions without being explicitly programmed. These tools provide frameworks and algorithms for tasks such as classification, regression, clustering, and natural language processing. They often come with features like data preprocessing, model evaluation, and hyperparameter tuning, which help optimize the performance of machine learning models. With the ability to analyze large datasets and uncover patterns, machine learning software is widely used in industries like healthcare, finance, marketing, and autonomous systems. Overall, this software empowers organizations to leverage data for smarter decision-making and automation. Compare and read user reviews of the best Machine Learning software for Jenkins currently available using the table below. This list is updated regularly.
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1
Opsani
Opsani
We are the only solution on the market that autonomously tunes applications at scale, either for a single application or across the entire service delivery platform. Opsani rightsizes your application autonomously so your cloud application works harder and leaner so you don’t have to. Opsani COaaS maximizes cloud workload performance and efficiency using the latest in AI and Machine Learning to continuously reconfigure and tune with every code release, load profile change, and infrastructure upgrade. We accomplish this while integrating easily with either a single app or across your service delivery platform while also scaling autonomously across 1000’s of services. Opsani allows for you to solve for all three autonomously without compromise. Reduce costs up to 71% by leveraging Opsani's AI algorithms. Opsani optimization continuously evaluates trillions of configuration permutations and pinpoints the best combinations of resources and parameter settings.Starting Price: $500 per month -
2
InsightFinder
InsightFinder
InsightFinder Unified Intelligence Engine (UIE) platform provides human-centered AI solutions for identifying incident root causes, and predicting and preventing production incidents. Powered by patented self-tuning unsupervised machine learning, InsightFinder continuously learns from metric time series, logs, traces, and triage threads from SREs and DevOps Engineers to bubble up root causes and predict incidents from the source. Companies of all sizes have embraced the platform and seen that business-impacting incidents can be predicted hours ahead with clearly pinpointed root causes. Survey a comprehensive overview of your IT Ops ecosystem, including patterns, trends, and team activities. Also view calculations that demonstrate overall downtime savings, cost of labor savings, and number of incidents resolved.Starting Price: $2.5 per core per month -
3
Launchable
Launchable
You can have the best developers in the world, but every test is making them slower. 80% of your software tests are pointless. The problem is you don't know which 80%. We find the right 20% using your data so that you can ship faster. We have shrink-wrapped predictive test selection, a machine learning-based approach being used at companies like Facebook so that it can be used by any company. We support multiple languages, test runners, and CI systems. Just bring Git to the table. Launchable uses machine learning to analyze your test failures and source code. It doesn't rely on code syntax analysis. This means it's trivial for Launchable to add support for almost any file-based programming language. It also means we can scale across teams and projects with different languages and tools. Out of the box, we currently support Python, Ruby, Java, JavaScript, Go, C, and C++, and we regularly add support for new languages. -
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CognitiveScale Cortex AI
CognitiveScale
Developing AI solutions requires an engineering approach that is resilient, open and repeatable to ensure necessary quality and agility is achieved. Until today these efforts are missing the foundation to address these challenges amid a sea of point tools and fast changing models and data. Collaborative developer platform for automating development and control of AI applications across multiple personas. Derive hyper-detailed customer profiles from enterprise data to predict behaviors in real-time and at scale. Generate AI-powered models designed to continuously learn and achieve clearly defined business outcomes. Enables organizations to explain and prove compliance with applicable rules and regulations. CognitiveScale's Cortex AI Platform addresses enterprise AI use cases through modular platform offerings. Our customers consume and leverage its capabilities as microservices within their enterprise AI initiatives.
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