Kaggle
Colaboratory
Driven Data
Numerai
HackerRank
DataSource.ai
Infosec Skills
DataHack & DSAT
Testiny
TestRail
Qase
PractiTest
Test Collab
TestLink
Tuskr App
TestLodge
Testiny is a modern test management tool that combines efficiency with a user-friendly experience. It provides flexible editing capabilities, test case templates, and structured test planning to help teams organize and execute their testing processes effectively. Built on a modern architecture, Testiny offers a clean, intuitive interface that simplifies navigation and improves usability. The platform supports automation integration, allowing users to import and analyze automated test results alongside manual testing.
With comprehensive integrations โ including Jira, GitHub, GitLab, and Azure โ Testiny ensures seamless workflow connectivity. The MCP Server feature enables compatibility with AI tools, such as Copilot, for enhanced productivity.
Additionally, customizable roles, permissions, and a robust API provide flexibility for teams of all sizes. Testiny is designed to meet the needs of both simple and complex testing workflows.
Kaggle TestinyTestiny's answer:
Testiny simplifies test management by combining manual and automated testing in an intuitive, collaborative platform. Its standout feature is the simple user experience, and the ability to integrate seamlessly with modern workflows, reducing setup complexity while maintaining flexibility for agile teams.
Testiny's answer:
Testiny is ideal for teams wanting speed, adaptability, and a unified approach to testing. Unlike most competitors that focus only on manual or automated testing, Testiny supports both, with real-time collaboration and easy integration into DevOps pipelines.
Testiny's answer:
Testiny targets software teams, QA engineers, and agile organizations needing a scalable, efficient testing tool. Itโs especially suited for teams using CI/CD and DevOps, offering smooth integrations with tools like Jira and Selenium.
Testiny's answer:
Testiny was created by a group of developers frustrated with clunky, outdated test tools. It aims to provide a modern, unified platform that supports both manual and automated testing, with a focus on collaboration and agility.
Testiny's answer:
Testinyโs biggest customers span a range of industries and business categories, including:
These industries and categories reflect Testinyโs appeal to organizations that require scalable, secure, and collaborative test management solutions.
Testiny's answer:
Testiny uses Node.js for backend, React for frontend, and PostgreSQL for data. Its integrations rely on REST APIs and webhooks, ensuring compatibility with popular DevOps tools (CI pipeline integration, CLI tool).
Really cool app. Fast and lean. Not many features, but those are the ones I need.
Based on our record, Kaggle seems to be more popular. It has been mentiond 103 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
A good example: the results we published are one-shot success rates with no retries and no manual intervention. But we did re-run some failed tasks afterward. Take Task #197 on kaggle.com ("Identify the ongoing competition that offers the highest prize and find the code that received the most votes in that competition"). In our benchmark submission, it failed on an anti-bot block. On a subsequent run, TinyFish... - Source: dev.to / 3 months ago
The key to mastering data analysis is practice. Kaggle.com and World Bank provide hands-on experience with real-world data, helping you consolidate your learning and apply your skills. Trying small projects like: Analyzing Netflix ratings, Visualizing COVID-19 data and Cleaning messy sales data in Excel can help strengthen your skill. - Source: dev.to / about 1 year ago
Before you even build a model, you are going to need some kind of dataset. Usually a CSV or JSON file. You can build your own dataset from scratch using your own data, scrape data from somewhere, or use Kaggle. - Source: dev.to / over 1 year ago
Kaggle: For data science and machine learning competitions. - Source: dev.to / about 2 years ago
Need help with last minute python project (due today). Project involves choosing a dataset from kaggle.com to analyze and creating questions to answer through analyzing the data. I have a pdf file of the project guidelines if you want more details. Also on a budget. Source: about 3 years ago
Colaboratory - Free Jupyter notebook environment in the cloud.
TestRail - TestRail provides comprehensive test case management for software testing. Organize your testing, boost productivity, get real-time insights, and track progress toward milestones. Integrates with leading issue tracking and test automation tools.
Driven Data - DrivenData hosts data science competitions to build a better world, bringing cutting-edge predictive models to organizations tackling the world's toughest problems.
Qase - Test case management software for QA and development teams that helps you make your product better.
Numerai - Hedge fund that crowdsources market trading from AI programmers over the Internet
PractiTest - PractiTest is a cloud based Innovative test management tool.
