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We are working on something new...

A Fresh New Splunkbase
We are designing a New Splunkbase to improve search and discoverability of apps. Check out our new and improved features like Categories and Collections. New Splunkbase is currently in preview mode, as it is under active development. We welcome you to navigate New Splunkbase and give us feedback.
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Splunk Machine Learning Toolkit

Splunk Machine Learning Toolkit
Splunk Machine Learning Toolkit The Splunk Machine Learning Toolkit App delivers new SPL commands, custom visualizations, assistants, and examples to explore a variety of ml concepts. Each assistant includes end-to-end examples with datasets, plus the ability to apply the visualizations and SPL commands to your own data. You can inspect the assistant panels and underlying code to see how it all works. Look for our ML Youtube Playlist for simple explanations of how to use MLTK and what it is for.. ML Cheat Sheet https://docs.splunk.com/images/3/3f/Splunk-MLTK-QuickRefGuide-2019-web.pdf Assistants: * Predict Numeric Fields (Linear Regression): e.g. predict median house values. * Predict Categorical Fields (Logistic Regression): e.g. predict customer churn. * Detect Numeric Outliers (distribution statistics): e.g. detect outliers in IT Ops data. * Detect Categorical Outliers (probabilistic measures): e.g. detect outliers in diabetes patient records. * Forecast Time Series: e.g. forecast data center growth and capacity planning. * Cluster Numeric Events: e.g. Cluster Hard Drives by SMART Metrics Smart Assistants (new assistants with revamped UI and better ml pipeline/experiment management): *Smart Forecasting Assistant (provides enhanced time-series analysis for users with little to no SPL knowledge and leverages the StateSpaceForecasting algorithm): e.g. forecasting app logons with special days Available on both on-premise and cloud. Splunk App for Data Science and Deep Learning The Splunk App for Data Science and Deep Learning (DSDL), formerly known as the Deep Learning Toolkit (DLTK), lets you integrate advanced custom machine learning and deep learning systems with the Splunk platform. The app extends the Splunk Machine Learning Toolkit (MLTK) with prebuilt Docker containers for TensorFlow, PyTorch, and a collection of data science, NLP, and classical machine learning libraries. When you use the predefined workflows of Jupyter Lab Notebooks, the app enables you to build, test, and operationalize customized models with the Splunk platform. You can leverage GPUs for compute-intense training tasks and deploy models on CPU or GPU enabled containers. Splunk Community for MLTK Algorithms on GitHub Check out our Open Source community on Github that lets you share your algorithms with the community of Splunk MLTK users or import one of the algorithms that have been shared by the community: https://github.com/splunk/mltk-algo-contrib The GitHub repo algorithms are also available as an app which provides access to custom algorithms. Cloud customers can use GitHub algorithms via this app and need to create a support ticket to have this installed:https://splunkbase.splunk.com/app/4403/ Available on cloud and on-premise
Splunk Cloud
Splunk Built
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Palo Alto Networks App for Splunk

Palo Alto Networks App for Splunk
Palo Alto Networks and Splunk have partnered to deliver an advanced security reporting and analysis tool. The collaboration delivers operational reporting, configurable dashboard views, and adaptive response across Palo Alto Networks family of next-generation firewalls, advanced endpoint security, and threat intelligence cloud. Palo Alto Networks App for Splunk leverages the data visibility provided by the Palo Alto Networks security platform with Splunk's extensive investigation and visualization capabilities to deliver advanced security reporting and analysis. This app enables security analysts, administrators, and architects to correlate application and user activities across all network and security infrastructures from a real-time and historical perspective. Complicated incident analysis that previously consumed days of manual and error-prone data mining can now be automated, saving not only manpower but also enabling key enterprise security resources to focus on critical, time-sensitive investigations.
Splunk Cloud
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Splunk ES Content Update

Splunk ES Content Update
The Splunk ES Content Update (ESCU) app delivers pre-packaged Security Content. ESCU provides regular Security Content updates to help security practitioners address ongoing time-sensitive threats, attack methods, and other security issues. Security Content consists of tactics, techniques, and methodologies that help with detection, investigation, and response. Security Content enables security teams to directly operationalize detection searches, investigative searches, and other supporting details. ESCU can generate Notable Events in Splunk Enterprise Security. Security Content also contains easy-to-read background information and guidance, for key context on motivations and risks associated with attack techniques, as well as pragmatic advice on how to combat those techniques. The analytic stories and their searches are also available at https://github.com/splunk/security-content.
Splunk Cloud
Splunk Built
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Splunk Dashboard Examples

Splunk Dashboard Examples
The Splunk Dashboard app v8.2.6 will reach end of support on Dec 19, 2024. No new versions of the app will be released. Simple XML examples are available in SimpleXML reference guide documentation and the Dashboards & Visualizations forum on Splunk Community. Check out this Splunk Lantern article to learn more: https://lantern.splunk.com/@go/page/7411 ----- The Splunk Dashboard app delivers examples that give you a hands-on way to learn the basic concepts and tools needed to rapidly create rich dashboards using Simple XML. This new app incorporates learn-by-doing Simple XML examples, including extensions to Simple XML for further customization of layout, interactivity, and visualizations. With the app you will learn basic Simple XML concepts and how to incorporate the built-in components. All the included examples deliver a recipe for implementing dashboard elements, beginning with the most basic and progressing to more advanced elements. Each example in the app includes an actual runtime visualization followed by a description and supporting source code. (c) 2016-2020 Splunk Inc. All Rights Reserved.
Splunk Cloud
Splunk Built
Splunk Machine Learning Toolkit
Palo Alto Networks App for Splunk
Splunk ES Content Update
Splunk Dashboard Examples

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Splunkbase has 1000+ apps from Splunk, our partners and our community. Find an app for most any data source and user need.

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As a Splunkbase app developer, you will have access to all Splunk development resources and receive a 10GB license to build an app that will help solve use cases for customers all over the world. Splunkbase has 1000+ apps from Splunk, our partners and our community. Find an app for most any data source and user need, or simply create your own with help from our developer portal.

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