Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
BlazeMeter offers an enterprise-ready platform that is open-source based, integrating all essential features to facilitate both left and right shift testing. With a user-friendly interface, you can easily create tests or adapt your existing scripts to execute them at scale as a part of your ongoing testing strategy. Generate comprehensive reports and analyze historical trends to enhance your testing process. This allows you to dedicate more time to innovation instead of toolchain upkeep. Continuous testing plays a crucial role in achieving quality, volume, and speed in your deliverables. However, the challenges of integrating, managing, learning, and switching between various tools can consume precious time and resources. BlazeMeter simplifies this process with a highly intuitive platform that encompasses everything you need. It guarantees a complete shift left testing experience, enabling you to impress the market with your advancements. BlazeMeter equips you with all necessary elements for continuous shift left testing, providing options to work with CLIs, APIs, UI, open-source tools, and beyond. As a result, you can significantly reduce the time spent on setup, maintenance, training, and everyday usage, ultimately streamlining your workflow. This efficiency not only enhances productivity but also empowers teams to focus on what truly matters: delivering exceptional products.
Description
Having the most skilled developers isn't enough if testing processes are hindering their progress; in fact, a staggering 80% of your software tests may be ineffective. The challenge lies in identifying which 80% is truly unnecessary. We utilize your data to pinpoint the essential 20%, enabling you to accelerate your release process. Our predictive test selection tool, inspired by machine learning techniques employed by leading companies like Facebook, is designed for easy adoption by any organization. We accommodate a variety of programming languages, test frameworks, and continuous integration systems—just integrate Git into your workflow. Launchable employs machine learning to evaluate your test failures alongside your source code, sidestepping traditional code syntax analysis. This flexibility allows Launchable to effortlessly extend its support to nearly any file-based programming language, ensuring it can adapt to various teams and projects with differing languages and tools. Currently, we provide out-of-the-box support for languages including Python, Ruby, Java, JavaScript, Go, C, and C++, with a commitment to continually expand our offerings as new languages emerge. In this way, we help organizations streamline their testing process and enhance overall efficiency.
API Access
Has API
API Access
Has API
Integrations
Android
Apple iOS
Apptim
Bitbucket
Cucumber
Curiosity Modeller
GitHub
GitLab
Google Chrome
Gradle
Integrations
Android
Apple iOS
Apptim
Bitbucket
Cucumber
Curiosity Modeller
GitHub
GitLab
Google Chrome
Gradle
Pricing Details
$149 per month
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
BlazeMeter
Founded
2011
Country
United States
Website
www.blazemeter.com
Vendor Details
Company Name
Launchable
Country
United States
Website
www.launchableinc.com
Product Features
API Testing
Functional Testing
Fuzz Testing
Load Testing
Penetration Testing
Runtime and Error Detection
Security Testing
UI Testing
Validation Testing
Automated Testing
Hierarchical View
Move & Copy
Parameterized Testing
Requirements-Based Testing
Security Testing
Supports Parallel Execution
Test Script Reviews
Unicode Compliance
Load Testing
API Load Testing
Database Load Testing
Load Test Performance Reporting
Mail Load Testing
Multilocation Load Testing
Multiple Protocol Support
Test Script Customization
Web Application Testing
Software Testing
Automated Testing
Black-Box Testing
Dynamic Testing
Issue Tracking
Manual Testing
Quality Assurance Planning
Reporting / Analytics
Static Testing
Test Case Management
Variable Testing Methods
White-Box Testing
Product Features
Machine Learning
Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization
Software Testing
Automated Testing
Black-Box Testing
Dynamic Testing
Issue Tracking
Manual Testing
Quality Assurance Planning
Reporting / Analytics
Static Testing
Test Case Management
Variable Testing Methods
White-Box Testing