
CodeClimate
Codacy
SonarQube
ESLint
CodeFactor.io
Coveralls
SensioLabs Insight
Source-Navigator NG
Numerai
Colaboratory
Infosec Skills
Kaggle
Explorium
DataSource.ai
edX
Driven Data
CodeClimateNumerai might be a bit more popular than CodeClimate. We know about 20 links to it since March 2021 and only 19 links to CodeClimate. 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.
Automated analysis tools: SonarQube, CodeClimate, and Codacy detect code-level debt automatically: cyclomatic complexity, code duplication, dependency staleness, and coverage gaps. These tools supplement but don't replace the architectural and business-logic debt that requires human judgment to identify and document. - Source: dev.to / 3 months ago
CodeClimate and Codacy can generate before/after metrics for code quality that make the starting and ending states concrete rather than subjective. - Source: dev.to / 3 months ago
CodeClimate quantifies maintainability so teams canโt hand-wave garbage away. - Source: dev.to / 11 months ago
Code Climate: Link - Automated code review and quality analysis for codebase health. - Source: dev.to / about 1 year ago
Use tools like SonarQube or CodeClimate to spot the high-risk 20%. Then fix one thing at a time not everything at once. This isnโt Dark Souls. - Source: dev.to / over 1 year ago
Numerai? Though I'm not so sure - their coin seems to have lost a lot of dollar value since I last checked. https://numer.ai/. - Source: Hacker News / over 1 year ago
For example the Numerai hedge fund's data science tournament for crowdsourced stock market prediction is giving out their expensive hedge fund quality data to their users but it's transformed enough that the users don't actually know what the data is, yet the machine learning models are still working on it. To my knowledge it's not homomorphic encryption because that would be still too computational expensive, but... - Source: Hacker News / almost 3 years ago
If you are interested in the machine learning part, you can try the Numerai tournament ( http://numer.ai ). They provide obfuscated high quality hedge fund data that participants can train their models on and send back only their predictions and then they combine the user's predictions into their market neutral meta model which they actively trade. So far their fund's returns looks promising in their category... - Source: Hacker News / over 3 years ago
This does not solve your problem, but you would be interested in https://numer.ai which is a "wisdom of the crowds" ML competition for stock market predictions. Source: about 4 years ago
Company: Numerai (https://numer.ai) Position: Web Developer Location: San Francisco (Remote/On-site with WFH days) Numerai is a new kind of hedge fund powered by thousands of competing data scientists from around the world, all working to predict the stock market. - Source: Hacker News / over 4 years ago
Codacy - Automatically reviews code style, security, duplication, complexity, and coverage on every change while tracking code quality throughout your sprints.
Colaboratory - Free Jupyter notebook environment in the cloud.
SonarQube - SonarQube, a core component of the Sonar solution, is an open source, self-managed tool that systematically helps developers and organizations deliver Clean Code.
Infosec Skills - Infosec Skills is technical expertise and engineering development knowledge-building platform where engineers and technical experts can come together to share and learn about the latest security development techniques and strategies.
ESLint - The fully pluggable JavaScript code quality tool
Kaggle - Kaggle offers innovative business results and solutions to companies.