Did you know that a staggering 53% of users uninstall an app within a month of installing it? This is what happens if your mobile app performance testing tools are not on their A game.
So, to prevent this from happening to your organization, check out our carefully curated list of the top 21 performance testing tools in 2025 and beyond. But before that, we’re going to take a brief look at the importance of selecting the appropriate mobile app performance testing tools.
Importance of Choosing The Right Performance Testing Tools
Performance testing is the best evaluator of app behaviour under different workloads. Besides offering an overall positive UX, it identifies specific areas within a mobile app that could lead to performance slowdowns. In simple terms, thanks to performance testing, the app’s performance remains unaffected even during crazy traffic spikes or peak load conditions.
Top 21 Mobile App Performance Testing Tools
If we observe closely, new performance testing tools come out every day. While no organization can try every web app performance testing tool, you can shortlist some aligned ones based on the list below. Here are the best performance testing tools.
1. Pcloudy
Pcloudy is one of the best mobile app performance testing tools in 2025, offering a comprehensive list of features on a single platform. It uses ML-based analytics to detect user interface performance issues and tests UI performance across different real iOS and Android devices.
It’s also one of the most powerful UI performance testing tools, enabling developers and testers to monitor app UI performance metrics to help with the smooth rendering of mobile apps.
Key Features:
- Uses audio Qoe and perceptual video to optimize streaming performance.
- Ensures performance consistency by evaluating DNS Lookups, Connection Multiplexing, TCP/TLS Handshake Times, and Latency.
- Resolves inefficient conditions and high failure rates.
- Tracks Battery Energy Drain, CPU & Memory Usage, and Device Stability to facilitate efficient running of apps across different devices which also makes it the best load testing tool.
- Delivers seamless app interactions by catering to metrics such as Frame Deadline Missed, Frame Render Time, and Page Content Score.
Read More: Testing The Battery Drain For Android App
Sign up for the free trial version now!
2. WebLOAD
WebLoad is one of RadView’s leading performance testing tools. It provides organizations with reliable, scalable, and efficient apps under actual load conditions.
It has an intuitive correlation engine and advanced scripting to create and execute tests seamlessly. Despite how complex a testing scenario is, QA teams can accelerate the process of identifying bottlenecks and optimizing system performance with the help of their AI-driven insights and real-time analytics.
Key Features:
Supports SOAP, HTTP, HTTPS protocols, and so on.
Integrates with Azure DevOps, Jenkins, and other CI/CD platforms to automate performance testing.
Seamlessly executes test scripts across different virtual clients by handling dynamic data.
3. Apache JMeter
Apache JMeter evaluates web applications along with static and dynamic resources and simulates excessive load conditions on objects, networks, servers, or even groups of servers. This allows it to assess their resilience and analyze their overall performance under different load scenarios.
Key Features:
- Users can create test plans with the GUI without needing any extensive scripting.
- Provides centralized control over load injectors.
- Supports HTTP, FTP pSMTP, HTTPS, POP3, TCP, IMAP, UDP, SOAP, JMS, REST, JDBC protocols.
- Provides effortless integration with CI/CD pipelines.
4. LoadRunner
LoadRunner evaluates application software, system behavior, and program performance under different load conditions to create scripts simulating actual user actions. It also allows users to use cloud infrastructure for distributed and scalability testing.
Key Features:
- Offers a virtual user generator to create virtual users by developing scripts manually or recording user interactions.
- Offers detailed tools for monitoring that recognize bottlenecks and analyze system resources.
- Integrates well with CI/CD and APM tools.
5. Gatling
Gatling is an open-source performance testing tool that creates virtual users by simulating user behavior. This free-to-use framework helps developers evaluate an application’s scalability, dependability, and throughput under varying load conditions.
Key Features:
- Promotes efficient load generation with non-blocking and asynchronous I/O principles
- Has a declarative DSL to define test scenarios, which increases the readability and maintainability of test scripts.
- The visually compelling nature of its reports enhances the analysis of performance metrics and improves the precision of identifying bottlenecks.
6. StormForge
If you’re looking to optimize and automate Kubernetes applications, StormForge is the way to go. It offers tools for optimization, cost analysis, performance testing, and other tasks that improve the reliability and efficiency of containerized applications.
Key Features:
- Uses ML to improve resource utilization and application performance with data-driven recommendations.
- Offers support for HTTP, TCP, HTTPS, and gRPC protocols.
- Integrates with cloud platforms, test management systems, virtualization platforms, and APM tools
7. SmartMeter.io
SmartMeter is usually popular among those who are looking for a JMeter alternative to address its lacunae. SmartMeter.io has an intuitive recorder tool that helps QA teams in carrying out the creation of scriptless test scenarios, at the same time, facilitating flexible advanced test modifications.
Key Features:
Supports automatic report generation with test and outcome details.
Supports HTTP, LDAP, JDBC, SOAP, FTP, and JMS protocols.
Integrates with visualization platforms, cloud platforms, Bamboo, Gitlab, Jenkins, etc., to automate testing in the CI/CD pipeline
8. Rational Performance Tester
Rational Performance Tester is an IBM-developed performance testing tool that facilitates the creation, execution, and analysis of performance tests and makes web-based applications reliable and scalable before deployment. Organizations can use this automated performance testing tool for server-based or web applications involving input and output.
Key Features:
- Facilitates the simulation of user interactions with record and playback scripts.
- Provides support for data parameterization.
- Offers real-time reports to identify issues immediately.
- Integrates well with IBM engineering life cycle management suite.
9. Locust.io
Locust.io refers to a modern testing framework that shows real-time test progress and allows users to change the load even during a test run. You can easily install it from PyPI using pip.
Key Features:
- Supports most protocols like HTTP, TCP, FTP, etc.
- Facilitates simulation of plenty of simultaneous users as it offers support for distributed load tests or multiple channels.
- Doesn’t require the use of callbacks or other similar mechanisms.
- Open-source and free to use.
10. OpenText Core Performance Engineering
OpenText Core Performance Engineering is a performance testing tool popular for running performance tests on the cloud. It doesn’t need deployment or management infrastructure, such as controllers or load generators.
As such, it has been a popular choice among QA teams for both web and mobile app performance testing tools, as it efficiently tests packaged apps on web and mobile technologies.
Key Features:
- Accurately simulates various user experiences across multiple devices or apps.
- Users can create tests using a CSV, REST API, or HAR file.
- Enables quick resolution of issues by leveraging shift left testing to delve deep into DevOps and Agile methodologies.
11. Puppeteer WebPerf
Puppeteer WebPerf refers to a node.js library offering control over headless Chrome or Chromium using a high-level API over DevTools protocol. It uses Puppeteer to automate performance measurements for the web.
Users can also analyze various page loading phases by accessing navigation timing API and capture performance traces for user interactions and page load.
Key Features:
- Extract film strip screenshots after generating performance traces.
- Simulate a wide array of network conditions.
- Facilitates the retrieval of runtime performance metrics like JavaScript event listeners, style recalculations, and layout duration.
12. Fortio
Fortio is one of the leading independent microservices testing libraries that offers additional capabilities such as a web UI, an advanced level Echo server, and CLI. Users can record execution time histograms and it also offers support for maximum load/speed for each thread/ connection or constant QPS.
Key Features:
- Visualize min, avg, percentiles, max, and QPS metrics through performance graphs.
- Free of cost and open-source.
- Users can request Echo back by adding error codes, latency, and headers.
13. Apache Bench
Apache Bench helps users benchmark their Apache HTTP server to determine request handling capacity and measure performance. This is another of the leading performance testing tools that enables the analysis of the number of requests your server can efficiently process per second. Users can evaluate throughput, failed requests, and server response times under various loads.
Key Features:
- Allows monitoring of key metrics such as response codes, transfer rates, requests per second, etc.
- Utilizes customizable settings for testing HTTP and HTTPS performance.
- Facilitates the assessment of server load handling by simulating different concurrent users.
14. LoadView
LoadView is an on-demand load testing tool that facilitates performance testing in real browsers, providing data as accurate as a close emulation of real users. The no-strings-attached approach of this tool enables users to only pay for what they’re using.
Key Features:
- Easily deployable within minutes.
- Offers advanced load testing features such as real browser testing, global cloud infrastructure, and point-and-click scripting.
- Offers high scalability and accuracy.
Sign up for the free trial version now!
15. NeoLoad
NeoLoad is one of the most popular automated performance testing tools targeted at Enterprise organizations that require continuous testing of APIs and applications. It offers developers and testers automatic test maintenance, and test design along with built-in integrations. It’s compatible with OS such as Solaris, Linux, and MS Windows.
Key Features:
- Allows continuous scheduling, management, and sharing of test resources and outcomes.
- Users can reuse test assets and outcomes and share them.
- Offers support for a wide range of web, packaged, and mobile applications for comprehensive testing requirements.
16. LoadComplete
LoadComplete is one of the most easy-to-use and economical performance testing tools that enables the creation and execution of realistic load tests for web apps and websites.
It records user interactions followed by simulating them with a variety of virtual users from the cloud or local computers. The system requirements include a 64-bit OS like Windows 7 or higher and Windows XP Professional.
Key Features:
- Health checking the performance of the web server under high load conditions to determine scalability and robustness.
- Offers detailed reports and metrics to help users get in-depth insights into end user experience, application behavior, and infrastructural performance.
- Automates the creation of realistic load tests.
17. Testing Anywhere
Testing Anywhere can check the performance of any web application, website, or other object. Most testers and developers use it to identify bottlenecks in their software products, followed by their rectification.
Key Features:
- Compatible with different Windows OS versions.
- The tool has a built-in editor that facilitates the editing of requirement-based testing criteria.
- The built-in editor features more than 385 comments.
18. K6
K6 is one of the most developer-friendly load testing tools out there. It simplifies and improves performance testing. This open-source tool provides a free and extensible platform.
It helps identify performance problems, thus improving systems’ efficiency and robustness. Ultimately, it empowers QA teams to create high-performance and resilient applications at scale.
Key Features:
- Developer-friendly APIs and a command line interface.
- Offers support for load testing, browser testing, resilience testing, chaos testing, synthetic monitoring, and performance monitoring.
- Incorporates thresholds and checks for automated and goal-oriented load testing.
Sign up for the free trial version now!
19. Taurus
Taurus is a performance-testing open-source framework that focuses on simplifying performance testing complexities. It’s one of the most promising tools for performance testing, compatible with YAML or JSON configuration files, and enhances its adaptability and flexibility for testing.
Key Features:
- Straightforward setup and installation.
- Real-time reporting to improve user understanding of results.
- Offers support for easily merging different test scripts into one test run to save time.
20. Performance Testing With Selenium WebDriver
While Selenium isn’t particularly popular for performance testing, the WebDriver can perform some basics for both Android and iOS. When used in conjunction with other tools, it can simulate certain user actions to evaluate app behavior under different loads.
Key Features:
- Open-source and free to use.
- Integrates well with other tools to simulate UX under load by combining user experience and load testing.
- Offers flexible scripting with multiple programming languages like Java, C#, Python, and Ruby.
21. Appium
Appium, when combined with other tools, allows testers to embrace a scriptless and user-friendly approach, increasing the app’s accessibility to various users, including performance testers, QA engineers, and developers.
Key Features:
- Automates different user gestures such as scrolling, tapping, swiping, etc.
- Prevents setup complexities and manual correlation for simplified testing.
Conclusion
If an organization is targeting a consistent UX and optimal app performance, choosing the best mobile app performance testing tools is the way to go.
Pcloudy has already helped an American healthcare provider achieve an 85% API performance improvement. If you want similar results for your business, sign up for the free trial version now!
FAQ on Performance Testing Tools
How do I choose the best performance testing tool for my organization?
The best way to select the perfect performance testing tool for your organization is to compare its features with your unique project needs. Also, look for essentials such as ML-based analytics, AI-powered agents, and a full-fledged digital experience.
How is it possible for performance testing tools to simulate real-world conditions?
Performance testing tools use virtual users to simulate diverse scenarios and behaviors to mimic traffic and load levels, network conditions, etc.
