Average Ratings 0 Ratings
Average Ratings 0 Ratings
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.
Description
We have created a deep learning algorithm inspired by neuro-biology that functions similarly to an intelligence assessment. This innovative tool autonomously identifies and forecasts patterns, enabling the effortless construction of smart applications.
Our user-friendly software features a clear and concise REST API, making it possible to develop intelligent applications across various environments. Consequently, you can seamlessly integrate it with JavaScript applications, spreadsheets, and even your online trading platforms.
For development and testing purposes, our service is completely free to use. The community edition is available as open-source under the SSPL license. The Vanillatech ML Workstation provides ready-to-use software that operates on your local computer. Should you need any modifications or additional support, please reach out to us for a customized proposal tailored to your needs. With our commitment to accessibility and support, we aim to empower developers at every skill level.
API Access
Has API
No
API Access
Has API
No
Integrations
AWS Marketplace
No
Amazon Web Services (AWS)
Yes
Android
Yes
Apple iOS
Yes
Bitbucket
Yes
Cucumber
Yes
Cypress
Yes
GitHub
Yes
GitLab
Yes
Gradle
Yes
Integrations
AWS Marketplace
Yes
Amazon Web Services (AWS)
No
Android
No
Apple iOS
No
Bitbucket
No
Cucumber
No
Cypress
No
GitHub
No
GitLab
No
Gradle
No
Pricing Details
No price information available.
Free Trial
No
Free Version
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
Yes
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
Yes
iPad App
Yes
Android App
Yes
Windows
Yes
Mac
Yes
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
No
Vendor Details
Company Name
Launchable
Country
United States
Website
www.launchableinc.com
Vendor Details
Company Name
Vanillatech
Founded
2018
Country
Germany
Website
timeseriesforecasting.com
Product Features
Machine Learning
Deep Learning
No
ML Algorithm Library
No
Model Training
No
Natural Language Processing (NLP)
No
Predictive Modeling
No
Statistical / Mathematical Tools
No
Templates
No
Visualization
No
Software Testing
Automated Testing
No
Black-Box Testing
No
Dynamic Testing
No
Issue Tracking
No
Manual Testing
No
Quality Assurance Planning
No
Reporting / Analytics
No
Static Testing
No
Test Case Management
No
Variable Testing Methods
No
White-Box Testing
No
Product Features
Machine Learning
Deep Learning
Yes
ML Algorithm Library
Yes
Model Training
Yes
Natural Language Processing (NLP)
No
Predictive Modeling
Yes
Statistical / Mathematical Tools
Yes
Templates
No
Visualization
No